CMP Associates Regulation Blog: Collapse of United States Dynamism of Income Growth and Employment Creation, Private Sector Jobs, Increasing Interest Rate Risk, Tapering Quantitative Easing, Duration Dumping, Steepening Yield Curve and Global Financial and Economic Risk, World Economic Slowdown and Global Recession Risk: Part III

Collapse of United States Dynamism of Income Growth and Employment Creation, Private Sector Jobs, Increasing Interest Rate Risk, Tapering Quantitative Easing, Duration Dumping, Steepening Yield Curve and Global Financial and Economic Risk, World Economic Slowdown and Global Recession Risk

Carlos M. Pelaez

Executive Summary

I Collapse of United States Dynamism of Income Growth and Employment Creation

II Private Sector Jobs

III World Financial Turbulence

IIIA Financial Risks

IIIE Appendix Euro Zone Survival Risk

IIIF Appendix on Sovereign Bond Valuation

IV Global Inflation

V World Economic Slowdown

VA United States

VB Japan

VC China

VD Euro Area

VE Germany

VF France

VG Italy

VH United Kingdom

VI Valuation of Risk Financial Assets

VII Economic Indicators

VIII Interest Rates

IX Conclusion

References

Appendixes

Appendix I The Great Inflation

IIIB Appendix on Safe Haven Currencies

IIIC Appendix on Fiscal Compact

IIID Appendix on European Central Bank Large Scale Lender of Last Resort

IIIG Appendix on Deficit Financing of Growth and the Debt Crisis

IIIGA Monetary Policy with Deficit Financing of Economic Growth

IIIGB Adjustment during the Debt Crisis of the 1980s

VI Valuation of Risk Financial Assets. The financial crisis and global recession were caused by interest rate and housing subsidies and affordability policies that encouraged high leverage and risks, low liquidity and unsound credit (Pelaez and Pelaez, Financial Regulation after the Global Recession (2009a), 157-66, Regulation of Banks and Finance (2009b), 217-27, International Financial Architecture (2005), 15-18, The Global Recession Risk (2007), 221-5, Globalization and the State Vol. II (2008b), 197-213, Government Intervention in Globalization (2008c), 182-4). Several past comments of this blog elaborate on these arguments, among which: http://cmpassocregulationblog.blogspot.com/2011/07/causes-of-2007-creditdollar-crisis.html http://cmpassocregulationblog.blogspot.com/2011/01/professor-mckinnons-bubble-economy.html http://cmpassocregulationblog.blogspot.com/2011/01/world-inflation-quantitative-easing.html http://cmpassocregulationblog.blogspot.com/2011/01/treasury-yields-valuation-of-risk.html http://cmpassocregulationblog.blogspot.com/2010/11/quantitative-easing-theory-evidence-and.html http://cmpassocregulationblog.blogspot.com/2010/12/is-fed-printing-money-what-are.html

Table VI-1 shows the phenomenal impulse to valuations of risk financial assets originating in the initial shock of near zero interest rates in 2003-2004 with the fed funds rate at 1 percent, in fear of deflation that never materialized, and quantitative easing in the form of suspension of the auction of 30-year Treasury bonds to lower mortgage rates. World financial markets were dominated by monetary and housing policies in the US. Between 2002 and 2008, the DJ UBS Commodity Index rose 165.5 percent largely because of unconventional monetary policy encouraging carry trades from low US interest rates to long leveraged positions in commodities, exchange rates and other risk financial assets. The charts of risk financial assets show sharp increase in valuations leading to the financial crisis and then profound drops that are captured in Table VI-1 by percentage changes of peaks and troughs. The first round of quantitative easing and near zero interest rates depreciated the dollar relative to the euro by 39.3 percent between 2003 and 2008, with revaluation of the dollar by 25.1 percent from 2008 to 2010 in the flight to dollar-denominated assets in fear of world financial risks. The dollar devalued 13.7 percent by Fri Oct 4, 2013. Dollar devaluation is a major vehicle of monetary policy in reducing the output gap that is implemented in the probably erroneous belief that devaluation will not accelerate inflation, misallocating resources toward less productive economic activities and disrupting financial markets. The last row of Table VI-1 shows CPI inflation in the US rising from 1.9 percent in 2003 to 4.1 percent in 2007 even as monetary policy increased the fed funds rate from 1 percent in Jun 2004 to 5.25 percent in Jun 2006.

Table VI-1, Volatility of Assets

DJIA	10/08/02-10/01/07	10/01/07-3/4/09	3/4/09- 4/6/10
∆%	87.8	-51.2	60.3
NYSE Financial	1/15/04- 6/13/07	6/13/07- 3/4/09	3/4/09- 4/16/07
∆%	42.3	-75.9	121.1
Shanghai Composite	6/10/05- 10/15/07	10/15/07- 10/30/08	10/30/08- 7/30/09
∆%	444.2	-70.8	85.3
STOXX EUROPE 50	3/10/03- 7/25/07	7/25/07- 3/9/09	3/9/09- 4/21/10
∆%	93.5	-57.9	64.3
UBS Com.	1/23/02- 7/1/08	7/1/08- 2/23/09	2/23/09- 1/6/10
∆%	165.5	-56.4	41.4
10-Year Treasury	6/10/03	6/12/07	12/31/08	4/5/10
%	3.112	5.297	2.247	3.986
USD/EUR	6/26/03	7/14/08	6/07/10	10/4/2013
Rate	1.1423	1.5914	1.192	1.3557
CNY/USD	01/03 2000	07/21 2005	7/15 2008	10/4/ 2013
Rate	8.2798	8.2765	6.8211	6.1226
New House	1963	1977	2005	2009
Sales 1000s	560	819	1283	375
New House	2000	2007	2009	2010
Median Price $1000	169	247	217	203
	2003	2005	2007	2010
CPI	1.9	3.4	4.1	1.5

Sources: http://professional.wsj.com/mdc/page/marketsdata.html?mod=WSJ_hps_marketdata

http://www.census.gov/const/www/newressalesindex_excel.html

http://federalreserve.gov/releases/h10/Hist/dat00_eu.htm

ftp://ftp.bls.gov/pub/special.requests/cpi/cpiai.txt

Chinese Yuan/Dollar (CNY/USD) exchange rate that reveal pursuit of exchange rate policies resulting from monetary policy in the US and capital control/exchange rate policy in China. The ultimate intentions are the same: promoting internal economic activity at the expense of the rest of the world. The easy money policy of the US was deliberately or not but effectively to devalue the dollar from USD 1.1423/EUR on Jun 26, 2003 to USD 1.5914/EUR on Jul 14, 2008, or by 39.3 percent. The flight into dollar assets after the global recession caused revaluation to USD 1.192/EUR on Jun 7, 2010, or by 25.1 percent. After the temporary interruption of the sovereign risk issues in Europe from Apr to Jul, 2010, shown in Table VI-4 below, the dollar has devalued again to USD 1.3557/EUR on Oct 4, 2013 or by 13.7 percent {[(1.3523/1.192)-1]100 = 13.7%}. Yellen (2011AS, 6) admits that Fed monetary policy results in dollar devaluation with the objective of increasing net exports, which was the policy that Joan Robinson (1947) labeled as “beggar-my-neighbor” remedies for unemployment. Risk aversion erodes devaluation of the dollar. China fixed the CNY to the dollar for a long period at a highly undervalued level of around CNY 8.2765/USD subsequently revaluing to CNY 6.8211/USD until Jun 7, 2010, or by 17.6 percent. After fixing again the CNY to the dollar, China revalued to CNY 6.1226/USD on Fri Oct 4, 2013, or by an additional 10.2 percent, for cumulative revaluation of 26.0 percent. The final row of Table VI-2 shows change by 0.0 percent in the week of Sep 13, 2013; change by 0.0 percent in the week of Sep 20, 2013; change of 0.0 percent in the week of Sep 27, 2013; and change of 0.0 percent in the week of Oct 4, 2013.

Table VI-2, Dollar/Euro (USD/EUR) Exchange Rate and Chinese Yuan/Dollar (CNY/USD) Exchange Rate

USD/EUR	12/26/03	7/14/08	6/07/10	10/4/ /13
Rate	1.1423	1.5914	1.192	1.3557
CNY/USD	01/03 2000	07/21 2005	7/15 2008	10/4/ 2013
Rate	8.2798	8.2765	6.8211	6.1226
Weekly Rates	9/13/2013	9/20/2013	9/27/2013	10/4/ 2013
CNY/USD	6.1190	6.1206	6.1196	6.1226
∆% from Earlier Week*	0.0	0.0	0.0	0.0

*Negative sign is depreciation; positive sign is appreciation

Source: http://professional.wsj.com/mdc/public/page/mdc_currencies.html?mod=mdc_topnav_2_3000

The Dow Jones Newswires informs on Oct 15, 2011, that the premier of China Wen Jiabao announced that the Chinese yuan will not be further appreciated to prevent adverse effects on exports (http://professional.wsj.com/article/SB10001424052970203914304576632790881396896.html?mod=WSJ_hp_LEFTWhatsNewsCollection). Bob Davis and Lingling Wei, writing on “China shifts course, lets Yuan drop,” on Jul 25, 2012, published in the Wall Street Journal (http://professional.wsj.com/article/SB10000872396390444840104577548610131107868.html?mod=WSJPRO_hpp_LEFTTopStories), find that China is depreciating the CNY relative to the USD in an effort to diminish the impact of appreciation of the CNY relative to the EUR. Table VI-2A provides the CNY/USD rate from Oct 28, 2011 to Apr 5, 2013 in selected intervals on Fridays. The CNY/USD revalued by 0.9 percent from Oct 28, 2012 to Apr 27, 2012. The CNY was virtually unchanged relative to the USD by Aug 24, 2012 to CNY 6.3558/USD from the rate of CNY 6.3588/USD on Oct 28, 2011 and then revalued slightly by 1.1 percent to CNY 6.2858/USD on Sep 28, 2012. Devaluation of 0.6 percent from CNY 6.2858/USD on Sep 28, 2012 to CNY 6.3240/USD on Oct 5, 2012, reduced to 0.5 percent the cumulative revaluation from Oct 28, 2011 to Oct 5, 2012. Revaluation by 0.2 percent to CNY 6.2546/USD on Oct 12, 2012 and revalued the CNY by 1.6 percent relative to the dollar from CNY 6.3588/USD on Oct 29, 2011. By Oct, 2013, the CNY revalued 3.7 percent to CNY 6.1226/USD relative to CNY 6.3588/USD on Oct 29, 2011. Meanwhile, the Senate of the US periodically considers a bill on China’s trade that could create a confrontation but may not be approved by the entire Congress. An important statement by the People’s Bank of China (PBC), China’s central bank, on Apr 14, 2012, announced the widening of the daily maximum band of fluctuation of the renminbi (RMB) yuan (http://www.pbc.gov.cn/publish/english/955/2012/20120414090756030448561/20120414090756030448561_.html):

“Along with the development of China’s foreign exchange market, the pricing and risk management capabilities of market participants are gradually strengthening. In order to meet market demands, promote price discovery, enhance the flexibility of RMB exchange rate in both directions, further improve the managed floating RMB exchange rate regime based on market supply and demand with reference to a basket of currencies, the People’s Bank of China has decided to enlarge the floating band of RMB’s trading prices against the US dollar and is hereby making a public announcement as follows:

Effective from April 16, 2012 onwards, the floating band of RMB’s trading prices against the US dollar in the inter-bank spot foreign exchange market is enlarged from 0.5 percent to 1 percent, i.e., on each business day, the trading prices of the RMB against the US dollar in the inter-bank spot foreign exchange market will fluctuate within a band of ±1 percent around the central parity released on the same day by the China Foreign Exchange Trade System. The spread between the RMB/USD selling and buying prices offered by the foreign exchange-designated banks to their customers shall not exceed 2 percent of the central parity, instead of 1 percent, while other provisions in the Circular of the PBC on Relevant Issues Managing the Trading Prices in the Inter-bank Foreign Exchange Market and Quoted Exchange Rates of Exchange-Designated Banks (PBC Document No.[2010]325) remain valid.

In view of the domestic and international economic and financial conditions, the People’s Bank of China will continue to fulfill its mandates in relation to the RMB exchange rate, keeping RMB exchange rate basically stable at an adaptive and equilibrium level based on market supply and demand with reference to a basket of currencies to preserve stability of the Chinese economy and financial markets.”

Table VI-2A, Renminbi Yuan US Dollar Rate

	CNY/USD	∆% from 10/28/2011
10/4/2013	6.1226	3.7
9/27/2013	6.1196	3.8
9/20/2013	6.1206	3.7
9/13/13	6.1190	3.8
9/6/13	6.1209	3.7
8/30/13	6.1178	3.8
8/23/13	6.1211	3.7
8/16/13	6.1137	3.9
8/9/13	6.1225	3.7
8/2/13	6.1295	3.6
7/26/13	6.1305	3.6
7/19/13	6.1380	3.5
7/12/13	6.1382	3.5
7/5/13	6.1316	3.6
6/28/13	6.1910	2.3.56
6/21/13	6.1345	3.5
6/14/13	6.1323	3.6
6/7/13	6.1334	3.5
5/31/13	6.1347	3.5
5/24/13	6.1314	3.6
5/17/13	6.1395	3.4
5/10/13	6.1395	3.4
5/3/13	6.1553	3.2
4/26/13	6.1636	3.1
4/19/13	6.1788	2.8
4/12/13	6.1947	2.6
4/5/13	6.2051	2.4
3/29/13	6.2119	2.3
3/22/13	6.2112	2.3
3/15/13	6.2131	2.3
3/8/13	6.2142	2.3
3/1/13	6.2221	2.1
2/22/15	6.2350	1.9
2/15/13	6.2328	2.0
2/8/13	6.2323	2.0
2/1/13	6.2316	2.0
1/25/13	6.2228	2.1
1/18/13	6.2182	2.2
1/11/13	6.2168	2.2
1/4/13	6.2316	2.0
12/28/12	6.2358	1.9
12/21/12	6.2352	1.9
12/14/12	6.2460	1.8
12/7/12	6.2254	2.1
11/30/12	6.2310	2.0
11/23/12	6.2328	2.0
11/16/12	6.2404	1.9
11/9/12	6.2452	1.8
11/2/12	6.2458	1.8
10/26/12	6.2628	1.5
10/19/12	6.2546	1.6
10/12/12	6.2670	1.4
10/5/12	6.3240	0.5
9/28/12	6.2858	1.1
9/21/12	6.3078	0.8
9/14/12	6.3168	0.7
9/7/12	6.3438	0.2
8/31/12	6.3498	0.1
8/24/12	6.3558	0.0
8/17/12	6.3589	0.0
8/10/12	6.3604	0.0
8/3/12	6.3726	-0.2
7/27/12	6.3818	-0.4
7/20/12	6.3750	-0.3
7/13/12	6.3868	-0.4
7/6/12	6.3658	-0.1
6/29/12	6.3552	0.1
6/22/12	6.3650	-0.1
6/15/12	6.3678	-0.1
6/8/2012	6.3752	-0.3
6/1/2012	6.3708	-0.2
4/27/2012	6.3016	0.9
3/23/2012	6.3008	0.9
2/3/2012	6.3030	0.9
12/30/2011	6.2940	1.0
11/25/2011	6.3816	-0.4
10/28/2011	6.3588	-

Source:

http://professional.wsj.com/mdc/public/page/mdc_currencies.html?mod=mdc_topnav_2_3000

http://federalreserve.gov/releases/h10/Hist/dat00_ch.htm

Professor Edward P Lazear (2013Jan7), writing on “Chinese ‘currency manipulation’ is not the problem,” on Jan 7, 2013, published in the Wall Street Journal (http://professional.wsj.com/article/SB10001424127887323320404578213203581231448.html), provides clear thought on the role of the yuan in trade between China and the United States and trade between China and Europe. There is conventional wisdom that Chinese exchange rate policy causes the loss of manufacturing jobs in the United States, which is shown by Lazear (2013Jan7) to be erroneous. The fact is that manipulation of the CNY/USD rate by China has only minor effects on US employment. Lazear (2013Jan7) shows that the movement of monthly exports of China to its major trading partners, United States and Europe, since 1995 cannot be explained by the fixing of the CNY/USD rate by China. The period is quite useful because it includes rapid growth before 2007, contraction until 2009 and weak subsequent expansion. Chart VI-1 of the Board of Governors of the Federal Reserve System provides the CNY/USD exchange rate from Jan 3, 1995 to Sep 27, 2013 together with US recession dates in shaded areas. China fixed the CNY/USD rate for a long period as shown in the horizontal segment from 1995 to 2005. There was systematic revaluation of 17.6 percent from CNY 8.2765 on Jul 21, 2005 to CNY 6.8211 on Jul 15, 2008. China fixed the CNY/USD rate until Jun 7, 2010, to avoid adverse effects on its economy from the global recession, which is shown as a horizontal segment from 2009 until mid 2010. China then continued the policy of appreciation of the CNY relative to the USD with oscillations until the beginning of 2012 when the rate began to move sideways followed by a final upward slope of devaluation that is measured in Table VI-2A but virtually disappeared in the rate of CNY 6.3589/USD on Aug 17, 2012 and was nearly unchanged at CNY 6.3558/USD on Aug 24, 2012. China then appreciated 0.2 percent in the week of Dec 21, 2012, to CNY 6.2352/USD for cumulative 1.9 percent revaluation from Oct 28, 2011 and left the rate virtually unchanged at CNY 6.2316/USD on Jan 4, 2013, appreciating to CNY 6.1179/USD on Sep 27, 2013, which is the last data point in Chart VI-1. Revaluation of the CNY relative to the USD by 26.0 percent by Oct 4, 2013 has not reduced the trade surplus of China but reversal of the policy of revaluation could result in international confrontation. The upward slope in the final segment on the right of Chart VI-I is measured as virtually stability in Table VI-2A with decrease or revaluation in the final segment.

Chart VI-1, Chinese Yuan (CNY) per US Dollar (US), Jan 3, 1995-Sep 27, 2013

Note: US Recessions in Shaded Areas

Source: Board of Governors of the Federal Reserve System

http://www.federalreserve.gov/releases/H10/default.htm

Chart VI-1A provides the daily CNY/USD rate from Jan 5, 1981 to Sep 27, 2013. The exchange rate was CNY 1.5418/USD on Jan 5, 1981. There is sharp cumulative depreciation 107.8 percent to CNY 3.2031 by Jul 2, 1986, continuing to CNY 5.8145/USD on Dec 29, 1993 for cumulative 277.1 percent since Jan 5, 1981. China then devalued sharply to CNY 8.7117/USD on Jan 7, 1994 for 49.8 percent relative to Dec 29, 1993 and cumulative 465.0 percent relative to Jan 5, 1981. China then fixed the rate at CNY 8.2765/USD until Jul 21, 2005 and revalued as analyzed in Chart VI-1. The final data point in Chart VI-1A is CNY 6.1179/USD on Sep 27, 2013. To be sure, China fixed the exchange rate after substantial prior devaluation. It is unlikely that the devaluation could have been effective after many years of fixing the exchange rate with high inflation and multiple changes in the world economy. The argument of Lazear (2013Jan7) is still valid in view of the lack of association between monthly exports of China to the US and Europe since 1995 and the exchange rate of China.

Chart VI-1A, Chinese Yuan (CNY) per US Dollar (US), Business Days, Jan 5, 1981-Sep 27, 2013

Note: US Recessions in Shaded Areas

Source: Board of Governors of the Federal Reserve System

http://www.federalreserve.gov/releases/H10/default.htm

Economic policy during the debt crisis of 1983 may be useful in analyzing the options of the euro area. Brazil successfully combined fiscal consolidation, structural reforms to eliminate subsidies and devaluation to parity. Brazil’s terms of trade, or export prices relative to import prices, deteriorated by 47 percent from 1977 to 1983 (Pelaez 1986, 46). Table VI-2B provides selected economic indicators of the economy of Brazil from 1970 to 1985. In 1983, Brazil’s inflation was 164.9 percent, GDP fell 3.2 percent, idle capacity in manufacturing reached 24.0 percent and Brazil had an unsustainable foreign debt. US money center banks would have had negative capital if loans to emerging countries could have been marked according to loss given default and probability of default (for credit risk models see Pelaez and Pelaez (2005), International Financial Architecture, 134-54). Brazil’s current account of the balance of payments shrank from $16,310 million in 1982 to $6,837 million in 1983 because of the abrupt cessation of foreign capital inflows with resulting contraction of Brazil’s GDP by 3.2 percent. An important part of adjustment consisted of agile coordination of domestic production to cushion the impact of drastic reduction in imports. In 1984, Brazil had a surplus of $45 million in current account, the economy grew at 4.5 percent and inflation was stabilized at 232.9 percent.

Table VI-2B, Brazil, Selected Economic Indicators 1970-1985

	Inflation ∆%	GDP Growth ∆%	Idle Capacity in MFG %	BOP Current Account USD MM
1985	223.4	7.4	19.8	-630
1984	232.9	4.5	22.6	45
1983	164.9	-3.2	24.0	-6,837
1982	94.0	0.9	15.2	-16,310
1981	113.0	-1.6	12.3	-11,374
1980	109.2	7.2	3.5	-12,886
1979	55.4	6.4	4.1	-10,742
1978	38.9	5.0	3.3	-6,990
1977	40.6	5.7	3.2	-4,037
1976	40.4	9.7	0.0	-6,013
1975	27.8	5.4	3.0	-6,711
1974	29.1	9.7	0.1	-7,122
1973	15.4	13.6	0.3	-1,688
1972	17.7	11.1	6.5	-1,489
1971	21.5	12.0	9.8	-1,307
1970	19.3	8.8	12.2	-562

Source: Carlos Manuel Pelaez, O Cruzado e o Austral: Análise das Reformas Monetárias do Brasil e da Argentina. São Paulo, Editora Atlas, 1986, 86.

Inflation and unemployment in the period 1966 to 1985 is analyzed by Cochrane (2011Jan, 23) by means of a Phillips circuit joining points of inflation and unemployment. Chart VI-1B for Brazil in Pelaez (1986, 94-5) was reprinted in The Economist in the issue of Jan 17-23, 1987 as updated by the author. Cochrane (2011Jan, 23) argues that the Phillips circuit shows the weakness in Phillips curve correlation. The explanation is by a shift in aggregate supply, rise in inflation expectations or loss of anchoring. The case of Brazil in Chart VI-1B cannot be explained without taking into account the increase in the fed funds rate that reached 22.36 percent on Jul 22, 1981 (http://www.federalreserve.gov/releases/h15/data.htm) in the Volcker Fed that precipitated the stress on a foreign debt bloated by financing balance of payments deficits with bank loans in the 1970s. The loans were used in projects, many of state-owned enterprises with low present value in long gestation. The combination of the insolvency of the country because of debt higher than its ability of repayment and the huge government deficit with declining revenue as the economy contracted caused adverse expectations on inflation and the economy. This interpretation is consistent with the case of the 24 emerging market economies analyzed by Reinhart and Rogoff (2010GTD, 4), concluding that “higher debt levels are associated with significantly higher levels of inflation in emerging markets. Median inflation more than doubles (from less than seven percent to 16 percent) as debt rises from the low (0 to 30 percent) range to above 90 percent. Fiscal dominance is a plausible interpretation of this pattern.”

The reading of the Phillips circuits of the 1970s by Cochrane (2011Jan, 25) is doubtful about the output gap and inflation expectations:

“So, inflation is caused by ‘tightness’ and deflation by ‘slack’ in the economy. This is not just a cause and forecasting variable, it is the cause, because given ‘slack’ we apparently do not have to worry about inflation from other sources, notwithstanding the weak correlation of [Phillips circuits]. These statements [by the Fed] do mention ‘stable inflation expectations. How does the Fed know expectations are ‘stable’ and would not come unglued once people look at deficit numbers? As I read Fed statements, almost all confidence in ‘stable’ or ‘anchored’ expectations comes from the fact that we have experienced a long period of low inflation (adaptive expectations). All these analyses ignore the stagflation experience in the 1970s, in which inflation was high even with ‘slack’ markets and little ‘demand, and ‘expectations’ moved quickly. They ignore the experience of hyperinflations and currency collapses, which happen in economies well below potential.”

Chart VI-1B provides the tortuous Phillips Circuit of Brazil from 1963 to 1987. There were no reliable consumer price index and unemployment data in Brazil for that period. Chart VI-1B used the more reliable indicator of inflation, the wholesale price index, and idle capacity of manufacturing as a proxy of unemployment in large urban centers.

Chart VI-1B, Brazil, Phillips Circuit 1963-1987

Source:

©Carlos Manuel Pelaez, O Cruzado e o Austral: Análise das Reformas Monetárias do Brasil e da Argentina. São Paulo: Editora Atlas, 1986, pages 94-5. Reprinted in: Brazil. Tomorrow’s Italy, The Economist, 17-23 January 1987, page 25.

The key to success in stabilizing an economy with significant risk aversion is finding parity of internal and external interest rates. Brazil implemented fiscal consolidation and reforms that are advisable in explosive foreign debt environments. In addition, Brazil had the capacity to find parity in external and internal interest rates to prevent capital flight and disruption of balance sheets (for analysis of balance sheets, interest rates, indexing, devaluation, financial instruments and asset/liability management in that period see Pelaez and Pelaez (2007), The Global Recession Risk: Dollar Devaluation and the World Economy, 178-87). Table VI-2C provides monthly percentage changes of inflation, devaluation and indexing and the monthly percent overnight interest rate. Parity was attained by means of a simple inequality:

Cost of Domestic Loan ≥ Cost of Foreign Loan

This ordering was attained in practice by setting the domestic interest rate of the overnight interest rate plus spread higher than indexing of government securities with lower spread than loans in turn higher than devaluation plus spread of foreign loans. Interest parity required equality of inflation, devaluation and indexing. Brazil devalued the cruzeiro by 30 percent in 1983 because the depreciation of the German mark DM relative to the USD had eroded the competitiveness of Brazil’s products in Germany and in competition with German goods worldwide. The database of the Board of Governors of the Federal Reserve System quotes DM 1.7829/USD on Mar 3 1980 and DM 2.4425/USD on Mar 15, 1983 (http://www.federalreserve.gov/releases/h10/hist/dat89_ge.htm) for devaluation of 37.0 percent. Parity of costs and rates of domestic and foreign loans and assets required ensuring that there would not be appreciation of the exchange rate, inducing capital flight in expectation of future devaluation that would have reversed stabilization. Table VI-2C provides inflation, devaluation, overnight interest rate and indexing. One of the main problems of adjustment of members of the euro area with high debts is that they cannot adjust the exchange rate because of the common euro currency. This is not an argument in favor of breaking the euro area because there would be also major problems of adjustment such as exiting the euro in favor of a new Drachma in the case of Greece. Another hurdle of adjustment in the euro area is that Brazil could have moved swiftly to adjust its economy in 1983 but the euro area has major sovereignty and distribution of taxation hurdles in moving rapidly.

Table VI-2C, Brazil, Inflation, Devaluation, Overnight Interest Rate and Indexing, Percent per Month, 1984

1984	Inflation IGP ∆%	Devaluation ∆%	Overnight Interest Rate %	Indexing ∆%
Jan	9.8	9.8	10.0	9.8
Feb	12.3	12.3	12.2	12.3
Mar	10.0	10.1	11.3	10.0
Apr	8.9	8.8	10.1	8.9
May	8.9	8.9	9.8	8.9
Jun	9.2	9.2	10.2	9.2
Jul	10.3	10.2	11.9	10.3
Aug	10.6	10.6	11.0	10.6
Sep	10.5	10.5	11.9	10.5
Oct	12.6	12.6	12.9	12.6
Nov	9.9	9.9	10.9	9.9
Dec	10.5	10.5	11.5	10.5

Source: Carlos Manuel Pelaez, O Cruzado e o Austral: Análise das Reformas Monetárias do Brasil e da Argentina. São Paulo, Editora Atlas, 1986, 86.

The G7 meeting in Washington on Apr 21 2006 of finance ministers and heads of central bank governors of the G7 established the “doctrine of shared responsibility” (G7 2006Apr):

“We, Ministers and Governors, reviewed a strategy for addressing global imbalances. We recognized that global imbalances are the product of a wide array of macroeconomic and microeconomic forces throughout the world economy that affect public and private sector saving and investment decisions. We reaffirmed our view that the adjustment of global imbalances:

Is shared responsibility and requires participation by all regions in this global process;
Will importantly entail the medium-term evolution of private saving and investment across countries as well as counterpart shifts in global capital flows; and
Is best accomplished in a way that maximizes sustained growth, which requires strengthening policies and removing distortions to the adjustment process.

In this light, we reaffirmed our commitment to take vigorous action to address imbalances. We agreed that progress has been, and is being, made. The policies listed below not only would be helpful in addressing imbalances, but are more generally important to foster economic growth.

In the United States, further action is needed to boost national saving by continuing fiscal consolidation, addressing entitlement spending, and raising private saving.
In Europe, further action is needed to implement structural reforms for labor market, product, and services market flexibility, and to encourage domestic demand led growth.
In Japan, further action is needed to ensure the recovery with fiscal soundness and long-term growth through structural reforms.

Others will play a critical role as part of the multilateral adjustment process.

In emerging Asia, particularly China, greater flexibility in exchange rates is critical to allow necessary appreciations, as is strengthening domestic demand, lessening reliance on export-led growth strategies, and actions to strengthen financial sectors.

In oil-producing countries, accelerated investment in capacity, increased economic diversification, enhanced exchange rate flexibility in some cases.

Other current account surplus countries should encourage domestic consumption and investment, increase micro-economic flexibility and improve investment climates.

We recognized the important contribution that the IMF can make to multilateral surveillance.”

The concern at that time was that fiscal and current account global imbalances could result in disorderly correction with sharp devaluation of the dollar after an increase in premiums on yields of US Treasury debt (see Pelaez and Pelaez, The Global Recession Risk (2007)). The IMF was entrusted with monitoring and coordinating action to resolve global imbalances. The G7 was eventually broadened to the formal G20 in the effort to coordinate policies of countries with external surpluses and deficits.

The database of the WEO (http://www.imf.org/external/pubs/ft/weo/2013/01/weodata/index.aspx) is used to contract Table VI-3 with fiscal and current account imbalances projected for 2013 and 2015. The WEO finds the need to rebalance external and domestic demand (IMF 2011WEOSep xvii):

“Progress on this front has become even more important to sustain global growth. Some emerging market economies are contributing more domestic demand than is desirable (for example, several economies in Latin America); others are not contributing enough (for example, key economies in emerging Asia). The first set needs to restrain strong domestic demand by considerably reducing structural fiscal deficits and, in some cases, by further removing monetary accommodation. The second set of economies needs significant currency appreciation alongside structural reforms to reduce high surpluses of savings over investment. Such policies would help improve their resilience to shocks originating in the advanced economies as well as their medium-term growth potential.”

The IMF (2012WEOApr, XVII) explains decreasing importance of the issue of global imbalances as follows:

“The latest developments suggest that global current account imbalances are no longer expected to widen again, following their sharp reduction during the Great Recession. This is largely because the excessive consumption growth that characterized economies that ran large external deficits prior to the crisis has been wrung out and has not been offset by stronger consumption in surplus economies. Accordingly, the global economy has experienced a loss of demand and growth in all regions relative to the boom years just before the crisis. Rebalancing activity in key surplus economies toward higher consumption, supported by more market-determined exchange rates, would help strengthen their prospects as well as those of the rest of the world.”

Table VI-3, Fiscal Deficit, Current Account Deficit and Government Debt as % of GDP and 2011 Dollar GDP

	GDP $B 2012	FD %GDP 2013	CAD %GDP 2013	Debt %GDP 2013	FD%GDP 2015	CAD%GDP 2015	Debt %GDP 2015
US	15685	-7.3	-3.1	80.3	-2.3	-3.2	88.3
Japan	5964	-9.1	2.0	126.6	-5.8	2.4	155.0
UK	2441	-5.8	-1.9	78.3	-0.8	-0.4	88.1
Euro	12198	-1.6	0.3	68.4	1.1	1.2	71.3
Ger	3401	0.7	5.7	56.1	1.4	4.3	52.4
France	2609	-2.9	-2.2	80.4	0.3	-0.8	83.8
Italy	2014	0.8	-3.2	99.6	4.4	-1.6	101.5
Can	1819	-4.1	-2.8	33.3	-1.1	-2.5	37.4
China	8227	-1.2	2.7	25.8	-0.1	3.4	14.8
Brazil	2396	3.3	-2.4	33.6	3.1	-3.3	30.8

Note: GER = Germany; Can = Canada; FD = fiscal deficit; CAD = current account deficit

FD is primary except total for China; Debt is net except gross for China

Source: IMF World Economic Outlook databank http://www.imf.org/external/pubs/ft/weo/2013/01/weodata/index.aspx

The current account of the US balance of payments is provided in Table VI-3A for IIQ2012 and IIQ2013. The US has a large deficit in goods or exports less imports of goods but it has a surplus in services that helps to reduce the trade account deficit or exports less imports of goods and services. The current account deficit of the US not seasonally adjusted decreased from $118.3 billion in IIQ2012 to $104.6 billion in IIQ2013. The current account deficit seasonally adjusted at annual rate fell from 2.7 percent of GDP in IIQ2012 to 2.5 percent of GDP in IQ2013 and 2.4 percent of GDP in IIQ2013. The ratio of the current account deficit to GDP has stabilized around 3 percent of GDP compared with much higher percentages before the recession but is combined now with much higher imbalance in the Treasury budget (see Pelaez and Pelaez, The Global Recession Risk (2007), Globalization and the State, Vol. II (2008b), 183-94, Government Intervention in Globalization (2008c), 167-71).

Table VI-3A, US, Balance of Payments, Millions of Dollars NSA

	IIQ2012	IIQ2013	Difference
Goods Balance	-191,299	-178,171	13,128
X Goods	395,151	400,113	1.3 ∆%
M Goods	-586,450	-578,283	-1.4 ∆%
Services Balance	45,836	52,588	6,752
X Services	160,060	167,200	4.5 ∆%
M Services	-114,224	-114,612	0.3 ∆%
Balance Goods and Services	-145,464	-125,582	19,882
Balance Income	58,505	53,507	-4,998
Unilateral Transfers	-31,381	-32,493	-1,112
Current Account Balance	-118,340	-104,568	13,772
% GDP	IIQ2012	IIQ2013	IQ2013
	2.7	2.4	2.5

X: exports; M: imports

Balance on Current Account = Balance on Goods and Services + Balance on Income + Unilateral Transfers

Source: Bureau of Economic Analysis http://www.bea.gov/international/index.htm#bop

In their classic work on “unpleasant monetarist arithmetic,” Sargent and Wallace (1981, 2) consider a regime of domination of monetary policy by fiscal policy (emphasis added):

“Imagine that fiscal policy dominates monetary policy. The fiscal authority independently sets its budgets, announcing all current and future deficits and surpluses and thus determining the amount of revenue that must be raised through bond sales and seignorage. Under this second coordination scheme, the monetary authority faces the constraints imposed by the demand for government bonds, for it must try to finance with seignorage any discrepancy between the revenue demanded by the fiscal authority and the amount of bonds that can be sold to the public. Suppose that the demand for government bonds implies an interest rate on bonds greater than the economy’s rate of growth. Then if the fiscal authority runs deficits, the monetary authority is unable to control either the growth rate of the monetary base or inflation forever. If the principal and interest due on these additional bonds are raised by selling still more bonds, so as to continue to hold down the growth of base money, then, because the interest rate on bonds is greater than the economy’s growth rate, the real stock of bonds will growth faster than the size of the economy. This cannot go on forever, since the demand for bonds places an upper limit on the stock of bonds relative to the size of the economy. Once that limit is reached, the principal and interest due on the bonds already sold to fight inflation must be financed, at least in part, by seignorage, requiring the creation of additional base money.”

The alternative fiscal scenario of the CBO (2012NovCDR, 2013Sep17) resembles an economic world in which eventually the placement of debt reaches a limit of what is proportionately desired of US debt in investment portfolios. This unpleasant environment is occurring in various European countries.

The current real value of government debt plus monetary liabilities depends on the expected discounted values of future primary surpluses or difference between tax revenue and government expenditure excluding interest payments (Cochrane 2011Jan, 27, equation (16)). There is a point when adverse expectations about the capacity of the government to generate primary surpluses to honor its obligations can result in increases in interest rates on government debt.

This analysis suggests that there may be a point of saturation of demand for United States financial liabilities without an increase in interest rates on Treasury securities. A risk premium may develop on US debt. Such premium is not apparent currently because of distressed conditions in the world economy and international financial system. Risk premiums are observed in the spread of bonds of highly indebted countries in Europe relative to bonds of the government of Germany.

The issue of global imbalances centered on the possibility of a disorderly correction (Pelaez and Pelaez, The Global Recession Risk (2007), Globalization and the State Vol. II (2008b) 183-94, Government Intervention in Globalization (2008c), 167-71). Such a correction has not occurred historically but there is no argument proving that it could not occur. The need for a correction would originate in unsustainable large and growing United States current account deficits (CAD) and net international investment position (NIIP) or excess of financial liabilities of the US held by foreigners net relative to financial liabilities of foreigners held by US residents. The IMF estimated that the US could maintain a CAD of two to three percent of GDP without major problems (Rajan 2004). The threat of disorderly correction is summarized by Pelaez and Pelaez, The Global Recession Risk (2007), 15):

“It is possible that foreigners may be unwilling to increase their positions in US financial assets at prevailing interest rates. An exit out of the dollar could cause major devaluation of the dollar. The depreciation of the dollar would cause inflation in the US, leading to increases in American interest rates. There would be an increase in mortgage rates followed by deterioration of real estate values. The IMF has simulated that such an adjustment would cause a decline in the rate of growth of US GDP to 0.5 percent over several years. The decline of demand in the US by four percentage points over several years would result in a world recession because the weakness in Europe and Japan could not compensate for the collapse of American demand. The probability of occurrence of an abrupt adjustment is unknown. However, the adverse effects are quite high, at least hypothetically, to warrant concern.”

The United States could be moving toward a situation typical of heavily indebted countries, requiring fiscal adjustment and increases in productivity to become more competitive internationally. The CAD and NIIP of the United States are not observed in full deterioration because the economy is well below potential. There are two complications in the current environment relative to the concern with disorderly correction in the first half of the past decade. In the release of Jun 14, 2013, the Bureau of Economic Analysis (http://www.bea.gov/newsreleases/international/transactions/2013/pdf/trans113.pdf) informs of revisions of US data on US international transactions since 1999:

“The statistics of the U.S. international transactions accounts released today have been revised for the first quarter of 1999 to the fourth quarter of 2012 to incorporate newly available and revised source data, updated seasonal adjustments, changes in definitions and classifications, and improved estimating methodologies.”

Table VI-3B provides data on the US fiscal and balance of payments imbalances. In 2007, the federal deficit of the US was $161 billion corresponding to 1.1 percent of GDP while the Congressional Budget Office (CBO 2013Sep11) estimates the federal deficit in 2012 at $1087 billion or 6.8 percent of GDP. The combined record federal deficits of the US from 2009 to 2012 are $5090 billion or 31.6 percent of the estimate of GDP for fiscal year 2012 implicit in the CBO (CBO 2013Sep11) estimate of debt/GDP. The deficits from 2009 to 2012 exceed one trillion dollars per year, adding to $5.090 trillion in four years, using the fiscal year deficit of $1087 billion for fiscal year 2012, which is the worst fiscal performance since World War II. Federal debt in 2007 was $5035 billion, less than the combined deficits from 2009 to 2012 of $5090 billion. Federal debt in 2012 was 70.1 percent of GDP (CBO 2013Sep11). This situation may worsen in the future (CBO 2013Sep17):

“Between 2009 and 2012, the federal government recorded the largest budget deficits relative to the size of the economy since 1946, causing federal debt to soar. Federal debt held by the public is now about 73 percent of the economy’s annual output, or gross domestic product (GDP). That percentage is higher than at any point in U.S. history except a brief period around World War II, and it is twice the percentage at the end of 2007. If current laws generally remained in place, federal debt held by the public would decline slightly relative to GDP over the next several years, CBO projects. After that, however, growing deficits would ultimately push debt back above its current high level. CBO projects that federal debt held by the public would reach 100 percent of GDP in 2038, 25 years from now, even without accounting for the harmful effects that growing debt would have on the economy. Moreover, debt would be on an upward path relative to the size of the economy, a trend that could not be sustained indefinitely.

The gap between federal spending and revenues would widen steadily after 2015 under the assumptions of the extended baseline, CBO projects. By 2038, the deficit would be 6½ percent of GDP, larger than in any year between 1947 and 2008, and federal debt held by the public would reach 100 percent of GDP, more than in any year except 1945 and 1946. With such large deficits, federal debt would be growing faster than GDP, a path that would ultimately be unsustainable.

Incorporating the economic effects of the federal policies that underlie the extended baseline worsens the long-term budget outlook. The increase in debt relative to the size of the economy, combined with an increase in marginal tax rates (the rates that would apply to an additional dollar of income), would reduce output and raise interest rates relative to the benchmark economic projections that CBO used in producing the extended baseline. Those economic differences would lead to lower federal revenues and higher interest payments. With those effects included, debt under the extended baseline would rise to 108 percent of GDP in 2038.”

Table VI-3B, US, Current Account, NIIP, Fiscal Balance, Nominal GDP, Federal Debt and Direct Investment, Dollar Billions and %

	2007	2008	2009	2010	2011	2012
Goods & Services	-699	-702	-384	-499	-557	-535
Income	101	146	124	178	233	224
UT	-115	-125	-122	-128	-134	-130
Current Account	-713	-681	-382	-449	-458	-440
NGDP	14480	14720	14418	14958	15534	16245
Current Account % GDP	-4.9	-4.6	-2.6	-3.0	-2.9	-2.7
NIIP	-1796	-3260	-2275	-2250	-3730	-3863
US Owned Assets Abroad	18400	19464	18558	20555	21636	21638
Foreign Owned Assets in US	20196	22724	20833	22805	25366	25501
NIIP % GDP	-12.4	-22.1	-15.8	-15.0	-24.0	-23.8
Exports Goods Services Income	2487	2654	2185	2523	2874	2987
NIIP % Exports Goods Services Income	-72	-123	-104	-89	-130	-129
DIA MV	5274	3102	4322	4809	4514	5249
DIUS MV	3551	2486	2995	3422	3510	3924
Fiscal Balance	-161	-459	-1413	-1294	-1296	-1087
Fiscal Balance % GDP	-1.1	-3.1	-9.8	-8.7	-8.4	-6.8
Federal Debt	5035	5803	7545	9019	10128	11281
Federal Debt % GDP	35.1	39.3	52.3	61.0	65.8	70.1
Federal Outlays	2729	2983	3518	3456	3598	3537
∆%	2.8	9.3	17.9	-1.8	4.1	-1.7
% GDP	19.0	20.2	24.4	23.4	23.4	22.0
Federal Revenue	2568	2524	2105	2162	2302	2450
∆%	6.7	-1.7	-16.6	2.7	6.5	6.4
% GDP	17.9	17.1	14.6	14.6	15.0	15.2

Sources:

Notes: UT: unilateral transfers; NGDP: nominal GDP or in current dollars; NIIP: Net International Investment Position; DIA MV: US Direct Investment Abroad at Market Value; DIUS MV: Direct Investment in the US at Market Value. There are minor discrepancies in the decimal point of percentages of GDP between the balance of payments data and federal debt, outlays, revenue and deficits in which the original number of the CBO source is maintained. These discrepancies do not alter conclusions. Budget http://www.cbo.gov/ http://www.bea.gov/international/index.htm#bop Balance of Payments and NIIP, Bureau of Economic Analysis (BEA) http://www.bea.gov/iTable/index_nipa.cfm

Gross Domestic Product, Bureau of Economic Analysis (BEA).

The International Monetary Fund (IMF) provides an international safety net for prevention and resolution of international financial crises. The IMF’s Financial Sector Assessment Program (FSAP) provides analysis of the economic and financial sectors of countries (see Pelaez and Pelaez, International Financial Architecture (2005), 101-62, Globalization and the State, Vol. II (2008), 114-23). Relating economic and financial sectors is a challenging task for both theory and measurement. The IMF (2012WEOOct) provides surveillance of the world economy with its Global Economic Outlook (WEO) (http://www.imf.org/external/pubs/ft/weo/2012/02/index.htm), of the world financial system with its Global Financial Stability Report (GFSR) (IMF 2012GFSROct) (http://www.imf.org/external/pubs/ft/gfsr/2012/02/index.htm) and of fiscal affairs with the Fiscal Monitor (IMF 2012FMOct) (http://www.imf.org/external/pubs/ft/fm/2012/02/fmindex.htm). There appears to be a moment of transition in global economic and financial variables that may prove of difficult analysis and measurement. It is useful to consider global economic and financial risks, which are analyzed in the comments of this blog.

Economic risks include the following:

1. China’s Economic Growth. China is lowering its growth target to 7.5 percent per year. Lu Hui, writing on “China lowers GDP target to achieve quality economic growth, on Mar 12, 2012, published in Beijing by Xinhuanet (http://news.xinhuanet.com/english/china/2012-03/12/c_131461668.htm), informs that Premier Jiabao wrote in a government work report that the GDP growth target will be lowered to 7.5 percent to enhance the quality and level of development of China over the long term. Growth of GDP relative to a year earlier decelerated from 12.1 percent in IQ2010 to 7.4 percent in IIIQ2012, 7.9 percent in IVQ2012, 7.7 percent in IQ2013 and 7.5 percent in IIQ2013. Growth of secondary industry decelerated from 14.5 percent in IQ2010 to 8.1 percent in IIIQ2012, 8.1 percent in IVQ2012, 7.8 percent in IQ2013 and 7.6 percent in IIQ2013. China’s GDP growth decelerated significantly from annual equivalent 10.4 percent in IIQ2011 to 7.4 percent in IVQ2011 and 6.2 percent in IQ2012, rebounding to 8.7 percent in IIQ2012, 8.2 percent in IIIQ2012 and 7.8 percent in IVQ2012. Annual equivalent growth in IQ2013 fell to 6.6 percent and 7.0 percent in IIQ2013. (http://cmpassocregulationblog.blogspot.com/2013/07/tapering-quantitative-easing-policy-and.html and earlier at http://cmpassocregulationblog.blogspot.com/2013/01/recovery-without-hiring-world-inflation.html). There is also ongoing political development in China during a decennial political reorganization with new leadership (http://www.xinhuanet.com/english/special/18cpcnc/index.htm). Xinhuanet informs that Premier Wen Jiabao considers the need for macroeconomic stimulus, arguing that “we should continue to implement proactive fiscal policy and a prudent monetary policy, while giving more priority to maintaining growth” (http://news.xinhuanet.com/english/china/2012-05/20/c_131599662.htm). Premier Wen elaborates that “the country should properly handle the relationship between maintaining growth, adjusting economic structures and managing inflationary expectations” (http://news.xinhuanet.com/english/china/2012-05/20/c_131599662.htm).

2. United States Economic Growth, Labor Markets and Budget/Debt Quagmire. (i) The US is experiencing the first expansion from a recession after World War II without growth and without jobs. GDP growth in the first two quarters of 2013 accumulated to 0.9 percent that is equivalent to 1.8 percent in a year. This is obtained by dividing GDP in IIQ2013 of $15,679.7 by GDP in IVQ2012 of $15,539.6 and compounding by 4/2: {[($15,679.7/$15,539.6)^4/2 -1]100 =1.8%}. The US economy grew 1.6 percent in IIQ2013 relative to the same quarter a year earlier in IIQ2012. Another important revelation of the revisions and enhancements is that GDP was flat in IVQ2012, which is just at the borderline of contraction (http://cmpassocregulationblog.blogspot.com/2013/09/mediocre-and-decelerating-united-states.html and earlier http://cmpassocregulationblog.blogspot.com/2013/09/increasing-interest-rate-risk.html). Growth is not only mediocre but also sharply decelerating to a rhythm that is not consistent with reduction of unemployment and underemployment of 28.3 million people. (ii) The labor market continues fractured with 28.3 million unemployed or underemployed (http://cmpassocregulationblog.blogspot.com/2013/09/twenty-eight-million-unemployed-or.html and http://cmpassocregulationblog.blogspot.com/2013/08/risks-of-steepening-yield-curve-and.html). (iii) There is a difficult climb from the record federal deficit of 9.8 percent of GDP in 2009 and cumulative deficit of $5090 billion in four consecutive years of deficits exceeding one trillion dollars from 2009 to 2012, which is the worst fiscal performance since World War II (http://cmpassocregulationblog.blogspot.com/2013/09/duration-dumping-and-peaking-valuations.html and earlier at http://cmpassocregulationblog.blogspot.com/2013/02/united-states-unsustainable-fiscal.html http://cmpassocregulationblog.blogspot.com/2012/11/united-states-unsustainable-fiscal.html and earlier Section IB at http://cmpassocregulationblog.blogspot.com/2012/08/expanding-bank-cash-and-deposits-with.html). There is no subsequent jump of debt in US peacetime history as the one from 39.3 percent of GDP in 2008 to 65.8 percent of GDP in 2011 and 70.1 percent in 2012 (http://cmpassocregulationblog.blogspot.com/2013/09/duration-dumping-and-peaking-valuations.html and earlier http://cmpassocregulationblog.blogspot.com/2013/02/united-states-unsustainable-fiscal.html). The US is facing an unsustainable debt/GDP path (http://cmpassocregulationblog.blogspot.com/2013/09/duration-dumping-and-peaking-valuations.html and earlier at http://cmpassocregulationblog.blogspot.com/2013/02/united-states-unsustainable-fiscal.html).

3. Economic Growth and Labor Markets in Advanced Economies. Advanced economies are growing slowly. Japan’s GDP grew 3.4 percent in IQ2012 relative to a year earlier, 1.2 percent in IQ2012 relative to IVQ2011; fell 0.3 percent in IIQ2012 relative to IQ2012, increasing 3.8 percent relative to a year earlier; contracted 0.9 percent in IIIQ2012, increasing 0.3 percent relative to a year earlier; increased 0.3 percent in IVQ2012, growing 0.4 percent relative to a year earlier; grew 1.0 percent in IQ2013 and 0.3 percent relative to a year earlier; and grew 0.9 percent in IIQ2013, increasing 1.2 percent relative to a year earlier (http://cmpassocregulationblog.blogspot.com/2013/09/recovery-without-hiring-ten-million.html and earlier http://cmpassocregulationblog.blogspot.com/2013/08/duration-dumping-and-peaking-valuations.html). The euro zone’s GDP fell 0.1 in IQ2012 and 0.2 percent relative to a year earlier in IQ2011; but fell 0.3 percent in IIQ2012 and declined 0.5 percent relative to IIQ2011; falling 0.1 percent in IIIQ2012 and declining 0.7 percent relative to a year earlier; fell 0.5 percent in IVQ2012, declining 1.0 percent relative to a year earlier; fell 0.2 percent in IQ2013, decreasing 1.0 percent relative to a year earlier and increased 0.3 percent in IIQ2013 but fell 0.5 percent relative to a year earlier. Germany’s GDP grew 0.7 percent in IQ2012 and 1.8 percent relative to IQ2011; decreasing 0.1 percent in IIQ2012 and increasing 0.6 percent relative to IIQ2011; growing 0.2 percent in IIIQ2012 with growth of 0.4 percent relative to a year earlier; falling 0.5 percent in IVQ2012, growing 0.0 percent relative to a year earlier; increased 0.0 percent in IQ2013 but fell 1.6 percent relative to a year earlier; and increased 0.7 percent in IIQ2013 and 0.9 percent relative to a year earlier. The UK’s GDP fell 0.1 percent in IVQ2011, changed 0.0 percent in IQ2012, fell 0.5 percent in IIQ2012 and changed 0.0 percent in IIQ2012 relative to IIQ2011. In IIIQ2012, the UK grew 0.6 percent relative to IIQ2012 and changed 0.0 percent relative to IIIQ2011. UK GDP contracted 0.3 percent in IVQ2012 and decreased 0.2 relative to a year earlier. In IQ2013, UK’s GDP increased 0.4 percent and 0.2 percent relative to a year earlier. UK GDP increased 0.7 percent in IIQ2013 and 1.3 percent relative to a year earlier. There is still high unemployment in advanced economies

4. World Inflation Waves. Inflation continues in repetitive waves globally (http://cmpassocregulationblog.blogspot.com/2013/09/duration-dumping-and-peaking-valuations.html and earlier at http://cmpassocregulationblog.blogspot.com/2013/08/duration-dumping-and-peaking-valuations_18.html).

A list of financial uncertainties includes:

1. Euro Area Survival Risk. The resilience of the euro to fiscal and financial doubts on larger member countries is still an unknown risk. Adjustment programs consist of immediate adoption of economic reforms that would increase future growth permitting fiscal consolidation, which would reduce risk spreads on sovereign debt. Fiscal consolidation is challenging in an environment of weak economic growth as analyzed by Blanchard (2011WEOSep) and consolidation can restrict growth as analyzed by Blanchard (2012WEOApr). Adjustment of countries such as Italy requires depreciation of the currency to parity, as proposed by Caballero and Giavazzi (2012Jan15), but it is not workable within the common currency and zero interest rates in the US. Stronger members at the risk of impairing their own sovereign debt credibility cannot permanently provide bailouts of member countries of the euro area with temporary liquidity challenges

2. Foreign Exchange Wars. Exchange rate struggles continue as zero interest rates in advanced economies induce devaluation of their currencies. After deep global recession, regulation, trade and devaluation wars were to be expected (Pelaez and Pelaez, Government Intervention in Globalization: Regulation, Trade and Devaluation Wars (2008c), 181): “There are significant grounds for concern on the basis of this experience. International economic cooperation and the international financial framework can collapse during extreme events. It is unlikely that there will be a repetition of the disaster of the Great Depression. However, a milder contraction can trigger regulatory, trade and exchange wars”

3. Valuation of Risk Financial Assets. Valuations of risk financial assets have reached extremely high levels in markets with lower volumes. For example, the DJIA has increased 55.6 percent since the trough of the sovereign debt crisis in Europe on Jul 2, 2010 to Oct 4, 2013; S&P 500 has gained 65.3 percent and DAX 52.1 percent. The overwhelming risk factor is the unsustainable Treasury deficit/debt of the United States (http://cmpassocregulationblog.blogspot.com/2013/02/united-states-unsustainable-fiscal.html). A competing event is the high level of valuations of risk financial assets (http://cmpassocregulationblog.blogspot.com/2013/01/peaking-valuation-of-risk-financial.html). Matt Jarzemsky, writing on Dow industrials set record,” on Mar 5, 2013, published in the Wall Street Journal (http://professional.wsj.com/article/SB10001424127887324156204578275560657416332.html), analyzes that the DJIA broke the closing high of 14,164.53 set on Oct 9, 2007, and subsequently also broke the intraday high of 14,198.10 reached on Oct 11, 2007. The DJIA closed at 15072.58

on Fri Oct 4, 2013, which is higher by 6.4 percent than the value of 14,164.53 reached on Oct 9, 2007 and higher by 6.2 percent than the value of 14,198.10 reached on Oct 11, 2007. Values of risk financial are approaching or exceeding historical highs.

The tool of analysis of Cochrane (2011Jan, 27, equation (16)) is the government debt valuation equation:

(M_t + B_t)/P_t = E_t∫(1/R_t_{, t+τ})s_t_+τdτ (1)

Equation (1) expresses the monetary, M_t, and debt, B_t, liabilities of the government, divided by the price level, P_t, in terms of the expected value discounted by the ex-post rate on government debt, R_t_{, t+τ}, of the future primary surpluses s_t_+τ, which are equal to T_t_+τ – G_t_+τ or difference between taxes, T, and government expenditures, G. Cochrane (2010A) provides the link to a web appendix demonstrating that it is possible to discount by the ex post R_t_{, t+τ}. The present value of the firm can also be expressed as the discounted future value of net cash flows. Equities can inflate beyond sound values if cash flows that depend on economic activity prove to be illusory in continuing mediocre growth

4. Duration Trap of the Zero Bound. The yield of the US 10-year Treasury rose from 2.031 percent on Mar 9, 2012, to 2.294 percent on Mar 16, 2012. Considering a 10-year Treasury with coupon of 2.625 percent and maturity in exactly 10 years, the price would fall from 105.3512 corresponding to yield of 2.031 percent to 102.9428 corresponding to yield of 2.294 percent, for loss in a week of 2.3 percent but far more in a position with leverage of 10:1. Min Zeng, writing on “Treasurys fall, ending brutal quarter,” published on Mar 30, 2012, in the Wall Street Journal (http://professional.wsj.com/article/SB10001424052702303816504577313400029412564.html?mod=WSJ_hps_sections_markets), informs that Treasury bonds maturing in more than 20 years lost 5.52 percent in the first quarter of 2012

5. Credibility and Commitment of Central Bank Policy. There is a credibility issue of the commitment of monetary policy. The Federal Open Market Committee (FOMC) decided at its meeting on Dec 12, 2012 to implement the “6.5/2.5” approach (http://www.federalreserve.gov/newsevents/press/monetary/20121212a.htm):

“To support continued progress toward maximum employment and price stability, the Committee expects that a highly accommodative stance of monetary policy will remain appropriate for a considerable time after the asset purchase program ends and the economic recovery strengthens. In particular, the Committee decided to keep the target range for the federal funds rate at 0 to 1/4 percent and currently anticipates that this exceptionally low range for the federal funds rate will be appropriate at least as long as the unemployment rate remains above 6-1/2 percent, inflation between one and two years ahead is projected to be no more than a half percentage point above the Committee’s 2 percent longer-run goal, and longer-term inflation expectations continue to be well anchored.”

At its meeting on Jan 25, 2012, the FOMC began to provide to the public the specific forecasts of interest rates and other economic variables by FOMC members. These forecasts are analyzed in Section IV Global Inflation. Thomas J. Sargent and William L. Silber, writing on “The challenges of the Fed’s bid for transparency,” on Mar 20, published in the Financial Times (http://www.ft.com/intl/cms/s/0/778eb1ce-7288-11e1-9c23-00144feab49a.html#axzz1pexRlsiQ), analyze the costs and benefits of transparency by the Fed. In the analysis of Sargent and Silber (2012Mar20), benefits of transparency by the Fed will exceed costs if the Fed is successful in conveying to the public what policies would be implemented and how forcibly in the presence of unforeseen economic events. History has been unkind to policy commitments. The risk in this case is if the Fed would postpone adjustment because of political pressures as has occurred in the past or because of errors of evaluation and forecasting of economic and financial conditions. Both political pressures and errors abounded in the unhappy stagflation of the 1970s also known as the US Great Inflation (see http://cmpassocregulationblog.blogspot.com/2011/05/slowing-growth-global-inflation-great.html http://cmpassocregulationblog.blogspot.com/2011/04/new-economics-of-rose-garden-turned.html http://cmpassocregulationblog.blogspot.com/2011/03/is-there-second-act-of-us-great.html and Appendix I The Great Inflation; see Taylor 1993, 1997, 1998LB, 1999, 2012FP, 2012Mar27, 2012Mar28, 2012JMCB and http://cmpassocregulationblog.blogspot.com/2012/06/rules-versus-discretionary-authorities.html). The challenge of the Fed, in the view of Sargent and Silber 2012Mar20), is to convey to the public the need to deviate from the commitment to interest rates of zero to ¼ percent because conditions have changed instead of unwarranted inaction or policy changes. Errors have abounded such as a critical cause of the global recession pointed by Sargent and Silber (2012Mar20): “While no president is known to have explicitly pressurized Mr. Bernanke’s predecessor, Alan Greenspan, he found it easy to maintain low interest rates for too long, fuelling the credit boom and housing bubble that led to the financial crisis in 2008.” Sargent and Silber (2012Mar20) also find need of commitment of fiscal authorities to consolidation needed to attain sustainable path of debt.

The analysis by Kydland and Prescott (1977, 447-80, equation 5) uses the “expectation augmented” Phillips curve with the natural rate of unemployment of Friedman (1968) and Phelps (1968), which in the notation of Barro and Gordon (1983, 592, equation 1) is:

U_t = Uⁿ_t – α(π_t – π^e) α > 0 (1)

Where U_t is the rate of unemployment at current time t, Uⁿ_t is the natural rate of unemployment, π_t is the current rate of inflation and π^e is the expected rate of inflation by economic agents based on current information. Equation (1) expresses unemployment net of the natural rate of unemployment as a decreasing function of the gap between actual and expected rates of inflation. The system is completed by a social objective function, W, depending on inflation, π, and unemployment, U:

W = W(π_t, U_t) (2)

The policymaker maximizes the preferences of the public, (2), subject to the constraint of the tradeoff of inflation and unemployment, (1). The total differential of W set equal to zero provides an indifference map in the Cartesian plane with ordered pairs (π_t, U_t- Uⁿ) such that the consistent equilibrium is found at the tangency of an indifference curve and the Phillips curve in (1). The indifference curves are concave to the origin. The consistent policy is not optimal. Policymakers without discretionary powers following a rule of price stability would attain equilibrium with unemployment not higher than with the consistent policy. The optimal outcome is obtained by the rule of price stability, or zero inflation, and no more unemployment than under the consistent policy with nonzero inflation and the same unemployment. Taylor (1998LB) attributes the sustained boom of the US economy after the stagflation of the 1970s to following a monetary policy rule instead of discretion (see Taylor 1993, 1999).

6. Carry Trades. Commodity prices driven by zero interest rates have resumed their increasing path. Some analytical aspects of the carry trade are instructive (Pelaez and Pelaez, Globalization and the State, Vol. I (2008a), 101-5, Pelaez and Pelaez, Globalization and the State, Vol. II (2008b), 202-4), Government Intervention in Globalization: Regulation, Trade and Devaluation Wars (2008c), 70-4). Consider the following symbols: R_t is the exchange rate of a country receiving carry trade denoted in units of domestic currency per dollars at time t of initiation of the carry trade; R_t₊_τ is the exchange of the country receiving carry trade denoted in units of domestic currency per dollars at time t+τ when the carry trade is unwound; i_f is the domestic interest rate of the high-yielding country where investment will be made; i_usd is the interest rate on short-term dollar debt assumed to be 0.5 percent per year; i_f >i_usd, which expresses the fact that the interest rate on the foreign country is much higher than that in short-term USD (US dollars); S_t is the dollar value of the investment principal; and π is the dollar profit from the carry trade. The investment of the principal S_t in the local currency debt of the foreign country provides a profit of:

π = (1 + i_f)(R_tS_t)(1/R_t₊_τ) – (1 + i_usd)S_t (3)

The profit from the carry trade, π, is nonnegative when:

(1 + i_f)/ (1 + i_usd) ≥ R_t₊_τ/R_t (4)

In words, the difference in interest rate differentials, left-hand side of inequality (4), must exceed the percentage devaluation of the currency of the host country of the carry trade, right hand side of inequality (4). The carry trade must earn enough in the host-country interest rate to compensate for depreciation of the host-country at the time of return to USD. A simple example explains the vulnerability of the carry trade in fixed-income. Let i_f be 0.10 (10 percent), i_usd 0.005 (0.5 percent), S_t USD100 and R_t CUR 1.00/USD. Adopt the fixed-income rule of months of 30 days and years of 360 days. Consider a strategy of investing USD 100 at 10 percent for 30 days with borrowing of USD 100 at 0.5 percent for 30 days. At time t, the USD 100 are converted into CUR 100 and invested at [(30/360)10] equal to 0.833 percent for thirty days. At the end of the 30 days, assume that the rate R_t₊₃₀ is still CUR 1/USD such that the return amount from the carry trade is USD 0.833. There is still a loan to be paid [(0.005)(30/360)USD100] equal to USD 0.042. The investor receives the net amount of USD 0.833 minus USD 0.042 or US 0.791. The rate of return on the investment of the USD 100 is 0.791 percent, which is equivalent to the annual rate of return of 9.49 percent {(0.791)(360/30)}. This is incomparably better than earning 0.5 percent. There are alternatives of hedging by buying forward the exchange for conversion back into USD.

Research by the Federal Reserve Bank of St. Louis finds that the dollar declined on average by 6.56 percent in the events of quantitative easing, ranging from depreciation of 10.8 percent relative to the Japanese yen to 3.6 percent relative to the pound sterling (http://research.stlouisfed.org/wp/2010/2010-018.pdf). A critical assumption of Rudiger Dornbusch (1976) in his celebrated analysis of overshooting (Rogoff 2002MF http://www.imf.org/external/np/speeches/2001/kr/112901.pdf) is “that exchange rates and asset markets adjust fast relative to goods markets” (Rudiger Dornbusch 1976, 1162). The market response of a monetary expansion is “to induce an immediate depreciation in the exchange rate and accounts therefore for fluctuations in the exchange rate and the terms of trade. During the adjustment process, rising prices may be accompanied by an appreciating exchange rate so that the trend behavior of exchange rates stands potentially in strong contrast with the cyclical behavior of exchange rates and prices” (Dornbusch 1976, 1162). The volatility of the exchange rate “is needed to temporarily equilibrate the system in response to monetary shocks, because underlying national prices adjust so slowly” (Rogoff 2002MF http://www.imf.org/external/np/speeches/2001/kr/112901.pdf 3). The exchange rate “is identified as a critical channel for the transmission of monetary policy to aggregate demand for domestic output” (Dornbusch 1976, 1162).

In a world of exchange wars, depreciation of the host-country currency can move even faster such that the profits from the carry trade may become major losses. Depreciation is the percentage change in instants against which the interest rate of a day is in the example [(10)(1/360)] or 0.03 percent. Exchange rates move much faster in the real world as in the overshooting model of Dornbusch (1976). Profits in carry trades have greater risks but equally greater returns when the short position in zero interest rates, or borrowing, and on the dollar, are matched with truly agile financial risk assets such as commodities and equities. A simplified analysis could consider the portfolio balance equations A_ij = f(r, x) where A_ij is the demand for i = 1,2,∙∙∙n assets from j = 1,2, ∙∙∙m sectors, r the 1xn vector of rates of return, r_i, of n assets and x a vector of other relevant variables. Tobin (1969) and Brunner and Meltzer (1973) assume imperfect substitution among capital assets such that the own first derivatives of A_ij are positive, demand for an asset increases if its rate of return (interest plus capital gains) is higher, and cross first derivatives are negative, demand for an asset decreases if the rate of return of alternative assets increases. Theoretical purity would require the estimation of the complete model with all rates of return. In practice, it may be impossible to observe all rates of return such as in the critique of Roll (1976). Policy proposals and measures by the Fed have been focused on the likely impact of withdrawals of stocks of securities in specific segments, that is, of effects of one or several specific rates of return among the n possible rates. In fact, the central bank cannot influence investors and arbitrageurs to allocate funds to assets of desired categories such as asset-backed securities that would lower the costs of borrowing for mortgages and consumer loans. Floods of cheap money may simply induce carry trades in arbitrage of opportunities in fast moving assets such as currencies, commodities and equities instead of much lower returns in fixed income securities (see http://cmpassocregulationblog.blogspot.com/2011/07/causes-of-2007-creditdollar-crisis.html http://cmpassocregulationblog.blogspot.com/2011/01/professor-mckinnons-bubble-economy.html http://cmpassocregulationblog.blogspot.com/2011/01/world-inflation-quantitative-easing.html http://cmpassocregulationblog.blogspot.com/2011/01/treasury-yields-valuation-of-risk.html http://cmpassocregulationblog.blogspot.com/2010/11/quantitative-easing-theory-evidence-and.html http://cmpassocregulationblog.blogspot.com/2010/12/is-fed-printing-money-what-are.html).

The major reason and channel of transmission of unconventional monetary policy is through expectations of inflation. Fisher (1930) provided theoretical and historical relation of interest rates and inflation. Let i_n be the nominal interest rate, i_r the real or inflation-adjusted interest rate and π^e the expectation of inflation in the time term of the interest rate, which are all expressed as proportions. The following expression provides the relation of real and nominal interest rates and the expectation of inflation:

(1 + i_r) = (1 + i_n)/(1 + π^e) (1)

That is, the real interest rate equals the nominal interest rate discounted by the expectation of inflation in time term of the interest rate. Fisher (1933) analyzed the devastating effect of deflation on debts. Nominal debt contracts remained at original principal interest but net worth and income of debtors contracted during deflation. Real interest rates increase during declining inflation. For example, if the interest rate is 3 percent and prices decline 0.2 percent, equation (1) calculates the real interest rate as:

(1 +0.03)/(1 – 0.02) = 1.03/(0.998) = 1.032

That is, the real rate of interest is (1.032 – 1) 100 or 3.2 percent. If inflation were 2 percent, the real rate of interest would be 0.98 percent, or about 1.0 percent {[(1.03/1.02) -1]100 = 0.98%}.

The yield of the one-year Treasury security was quoted in the Wall Street Journal at 0.114 percent on Fri May 17, 2013 (http://online.wsj.com/mdc/page/marketsdata.html?mod=WSJ_topnav_marketdata_main). The expected rate of inflation π^e in the next twelve months is not observed. Assume that it would be equal to the rate of inflation in the past twelve months estimated by the Bureau of Economic Analysis (BLS) at 1.1 percent (http://www.bls.gov/cpi/). The real rate of interest would be obtained as follows:

(1 + 0.00114)/(1 + 0.011) = (1 + r_r) = 0.9902

That is, i_r is equal to 1 – 0.9902 or minus 0.98 percent. Investing in a one-year Treasury security results in a loss of 0.98 percent relative to inflation. The objective of unconventional monetary policy of zero interest rates is to induce consumption and investment because of the loss to inflation of riskless financial assets. Policy would be truly irresponsible if it intended to increase inflationary expectations or π^e. The result could be the same rate of unemployment with higher inflation (Kydland and Prescott 1977).

Current focus is on tapering quantitative easing by the Federal Open Market Committee (FOMC). There is sharp distinction between the two measures of unconventional monetary policy: (1) fixing of the overnight rate of fed funds at 0 to ¼ percent; and (2) outright purchase of Treasury and agency securities and mortgage-backed securities for the balance sheet of the Federal Reserve. Market are overreacting to the so-called “paring” of outright purchases of $85 billion of securities per month for the balance sheet of the Fed. What is truly important is the fixing of the overnight fed funds at 0 to ¼ percent for which there is no end in sight as evident in the FOMC statement for Sep 18, 2013 (http://www.federalreserve.gov/newsevents/press/monetary/20130918a.htm):

“To support continued progress toward maximum employment and price stability, the Committee today reaffirmed its view that a highly accommodative stance of monetary policy will remain appropriate for a considerable time after the asset purchase program ends and the economic recovery strengthens. In particular, the Committee decided to keep the target range for the federal funds rate at 0 to 1/4 percent and currently anticipates that this exceptionally low range for the federal funds rate will be appropriate at least as long as the unemployment rate remains above 6-1/2 percent, inflation between one and two years ahead is projected to be no more than a half percentage point above the Committee's 2 percent longer-run goal, and longer-term inflation expectations continue to be well anchored” (emphasis added).

There is a critical phrase in the statement of Sep 19, 2013 (http://www.federalreserve.gov/newsevents/press/monetary/20130918a.htm): “but mortgage rates have risen further.” Did the increase of mortgage rates influence the decision of the FOMC not to taper? Is FOMC “communication” and “guidance” successful?

In delivering the biannual report on monetary policy (Board of Governors 2013Jul17), Chairman Bernanke (2013Jul17) advised Congress that:

“Instead, we are providing additional policy accommodation through two distinct yet complementary policy tools. The first tool is expanding the Federal Reserve's portfolio of longer-term Treasury securities and agency mortgage-backed securities (MBS); we are currently purchasing $40 billion per month in agency MBS and $45 billion per month in Treasuries. We are using asset purchases and the resulting expansion of the Federal Reserve's balance sheet primarily to increase the near-term momentum of the economy, with the specific goal of achieving a substantial improvement in the outlook for the labor market in a context of price stability. We have made some progress toward this goal, and, with inflation subdued, we intend to continue our purchases until a substantial improvement in the labor market outlook has been realized. We are relying on near-zero short-term interest rates, together with our forward guidance that rates will continue to be exceptionally low--our second tool--to help maintain a high degree of monetary accommodation for an extended period after asset purchases end, even as the economic recovery strengthens and unemployment declines toward more-normal levels. In appropriate combination, these two tools can provide the high level of policy accommodation needed to promote a stronger economic recovery with price stability.

The Committee's decisions regarding the asset purchase program (and the overall stance of monetary policy) depend on our assessment of the economic outlook and of the cumulative progress toward our objectives. Of course, economic forecasts must be revised when new information arrives and are thus necessarily provisional.”

Friedman (1953) argues there are three lags in effects of monetary policy: (1) between the need for action and recognition of the need; (2) the recognition of the need and taking of actions; and (3) taking of action and actual effects. Friedman (1953) finds that the combination of these lags with insufficient knowledge of the current and future behavior of the economy causes discretionary economic policy to increase instability of the economy or standard deviations of real income σ_y and prices σ_p. Policy attempts to circumvent the lags by policy impulses based on forecasts. We are all naïve about forecasting. Data are available with lags and revised to maintain high standards of estimation. Policy simulation models estimate economic relations with structures prevailing before simulations of policy impulses such that parameters change as discovered by Lucas (1977). Economic agents adjust their behavior in ways that cause opposite results from those intended by optimal control policy as discovered by Kydland and Prescott (1977). Advance guidance attempts to circumvent expectations by economic agents that could reverse policy impulses but is of dubious effectiveness. There is strong case for using rules instead of discretionary authorities in monetary policy (http://cmpassocregulationblog.blogspot.com/search?q=rules+versus+authorities).

The key policy is maintaining fed funds rate between 0 and ¼ percent. An increase in fed funds rates could cause flight out of risk financial markets worldwide. There is no exit from this policy without major financial market repercussions. Indefinite financial repression induces carry trades with high leverage, risks and illiquidity.

A competing event is the high level of valuations of risk financial assets (http://cmpassocregulationblog.blogspot.com/2013/01/peaking-valuation-of-risk-financial.html). Matt Jarzemsky, writing on Dow industrials set record,” on Mar 5, 2013, published in the Wall Street Journal (http://professional.wsj.com/article/SB10001424127887324156204578275560657416332.html), analyzes that the DJIA broke the closing high of 14,164.53 set on Oct 9, 2007, and subsequently also broke the intraday high of 14,198.10 reached on Oct 11, 2007. The DJIA closed at 15072.58

Jon Hilsenrath, writing on “Jobs upturn isn’t enough to satisfy Fed,” on Mar 8, 2013, published in the Wall Street Journal (http://professional.wsj.com/article/SB10001424127887324582804578348293647760204.html), finds that much stronger labor market conditions are required for the Fed to end quantitative easing. Unconventional monetary policy with zero interest rates and quantitative easing is quite difficult to unwind because of the adverse effects of raising interest rates on valuations of risk financial assets and home prices, including the very own valuation of the securities held outright in the Fed balance sheet. Gradual unwinding of 1 percent fed funds rates from Jun 2003 to Jun 2004 by seventeen consecutive increases of 25 percentage points from Jun 2004 to Jun 2006 to reach 5.25 percent caused default of subprime mortgages and adjustable-rate mortgages linked to the overnight fed funds rate. The zero interest rate has penalized liquidity and increased risks by inducing carry trades from zero interest rates to speculative positions in risk financial assets. There is no exit from zero interest rates without provoking another financial crash.

The carry trade from zero interest rates to leveraged positions in risk financial assets had proved strongest for commodity exposures but US equities have regained leadership. The DJIA has increased 55.6 percent since the trough of the sovereign debt crisis in Europe on Jul 2, 2010 to Oct 4, 2013; S&P 500 has gained 65.3 percent and DAX 52.1 percent. Before the current round of risk aversion, almost all assets in the column “∆% Trough to 10/4/13” had double digit gains relative to the trough around Jul 2, 2010 followed by negative performance but now some valuations of equity indexes show varying behavior: China’s Shanghai Composite is 8.7 percent below the trough. Japan’s Nikkei Average is 58.9 percent above the trough. DJ Asia Pacific TSM is 24.5 percent above the trough. Dow Global is 36.8 percent above the trough. STOXX 50 of 50 blue-chip European equities (http://www.stoxx.com/indices/index_information.html?symbol=sx5E) is 20.4 percent above the trough. NYSE Financial Index is 41.5 percent above the trough. DJ UBS Commodities is 2.6 percent above the trough. DAX index of German equities (http://www.bloomberg.com/quote/DAX:IND) is 52.1 percent above the trough. Japan’s Nikkei Average is 58.9 percent above the trough on Aug 31, 2010 and 23.1 percent above the peak on Apr 5, 2010. The Nikkei Average closed at 14,024.31 Fri Oct 4, 2013 (http://professional.wsj.com/mdc/public/page/marketsdata.html?mod=WSJ_PRO_hps_marketdata), which is 36.8 percent higher than 10,254.43 on Mar 11, 2011, on the date of the Tōhoku or Great East Japan Earthquake/tsunami. Global risk aversion erased the earlier gains of the Nikkei. The dollar depreciated by 13.7 percent relative to the euro and even higher before the new bout of sovereign risk issues in Europe. The column “∆% week to 10/4/13” in Table VI-4 shows increase of 0.7 percent in the week for China’s Shanghai Composite. DJ Asia Pacific decreased 1.1 percent. NYSE Financial increased 0.1 percent in the week. DJ UBS Commodities decreased 0.6 percent. Dow Global decreased 0.1 percent in the week of Oct 4, 2013. The DJIA decreased 1.2 percent and S&P 500 decreased 0.1 percent. DAX of Germany decreased 0.4 percent. STOXX 50 decreased 0.9 percent. The USD depreciated 0.3 percent. There are still high uncertainties on European sovereign risks and banking soundness, US and world growth slowdown and China’s growth tradeoffs. Sovereign problems in the “periphery” of Europe and fears of slower growth in Asia and the US cause risk aversion with trading caution instead of more aggressive risk exposures. There is a fundamental change in Table VI-4 from the relatively upward trend with oscillations since the sovereign risk event of Apr-Jul 2010. Performance is best assessed in the column “∆% Peak to 10/4/13” that provides the percentage change from the peak in Apr 2010 before the sovereign risk event to Oct 4, 2013. Most risk financial assets had gained not only relative to the trough as shown in column “∆% Trough to 10/4/13” but also relative to the peak in column “∆% Peak to 10/4/13.” There are now several equity indexes above the peak in Table VI-4: DJIA 34.5 percent, S&P 500 38.9 percent, DAX 36.2 percent, Dow Global 11.6 percent, DJ Asia Pacific 9.0 percent, NYSE Financial Index (http://www.nyse.com/about/listed/nykid.shtml) 12.7 percent, Nikkei Average 23.1 percent and STOXX 50 2.0 percent. There is only one equity index below the peak: Shanghai Composite by 31.3 percent. DJ UBS Commodities Index is now 12.3 percent below the peak. The US dollar strengthened 10.4 percent relative to the peak. The factors of risk aversion have adversely affected the performance of risk financial assets. The performance relative to the peak in Apr 2010 is more important than the performance relative to the trough around early Jul 2010 because improvement could signal that conditions have returned to normal levels before European sovereign doubts in Apr 2010. Alexandra Scaggs, writing on “Tepid profits, roaring stocks,” on May 16, 2013, published in the Wall Street Journal (http://online.wsj.com/article/SB10001424127887323398204578487460105747412.html), analyzes stabilization of earnings growth: 70 percent of 458 reporting companies in the S&P 500 stock index reported earnings above forecasts but sales fell 0.2 percent relative to forecasts of increase of 0.5 percent. Paul Vigna, writing on “Earnings are a margin story but for how long,” on May 17, 2013, published in the Wall Street Journal (http://blogs.wsj.com/moneybeat/2013/05/17/earnings-are-a-margin-story-but-for-how-long/), analyzes that corporate profits increase with stagnating sales while companies manage costs tightly. More than 90 percent of S&P components reported moderate increase of earnings of 3.7 percent in IQ2013 relative to IQ2012 with decline of sales of 0.2 percent. Earnings and sales have been in declining trend. In IVQ2009, growth of earnings reached 104 percent and sales jumped 13 percent. Net margins reached 8.92 percent in IQ2013, which is almost the same at 8.95 percent in IIIQ2006. Operating margins are 9.58 percent. There is concern by market participants that reversion of margins to the mean could exert pressure on earnings unless there is more accelerated growth of sales. Vigna (op. cit.) finds sales growth limited by weak economic growth. Kate Linebaugh, writing on “Falling revenue dings stocks,” on Oct 20, 2012, published in the Wall Street Journal (http://professional.wsj.com/article/SB10000872396390444592704578066933466076070.html?mod=WSJPRO_hpp_LEFTTopStories), identifies a key financial vulnerability: falling revenues across markets for United States reporting companies. Global economic slowdown is reducing corporate sales and squeezing corporate strategies. Linebaugh quotes data from Thomson Reuters that 100 companies of the S&P 500 index have reported declining revenue only 1 percent higher in Jun-Sep 2012 relative to Jun-Sep 2011 but about 60 percent of the companies are reporting lower sales than expected by analysts with expectation that revenue for the S&P 500 will be lower in Jun-Sep 2012 for the entities represented in the index. Results of US companies are likely repeated worldwide. Future company cash flows derive from investment projects. In IQ1980, gross private domestic investment in the US was $951.6 billion of 2009 dollars, growing to $1,143.0 billion in IVQ1986 or 20.1 percent. Real gross private domestic investment in the US decreased 3.1 percent from $2,605.2 billion of 2009 dollars in IVQ2007 to $2,524.9 billion in IIQ2013. Real private fixed investment fell 4.9 percent from $2,586.3 billion of 2009 dollars in IVQ2007 to $2,458.4 billion in IIQ2013. Growth of real private investment in is mediocre for all but four quarters from IIQ2011 to IQ2012 (Section I and earlier http://cmpassocregulationblog.blogspot.com/2013/09/increasing-interest-rate-risk.html). The investment decision of United States corporations has been fractured in the current economic cycle in preference of cash. Corporate profits with IVA and CCA fell $26.6 billion in IQ2013 after increasing $34.9 billion in IVQ2012 and $13.9 billion in IIIQ2012. Corporate profits with IVA and CCA rebounded with $66.8 billion in IIQ2013. Profits after tax with IVA and CCA fell $1.7 billion in IQ2013 after increasing $40.8 billion in IVQ2012 and $4.5 billion in IIIQ2012. In IIQ2013, profits after tax with IVA and CCA increased $56.9 billion. Anticipation of higher taxes in the “fiscal cliff” episode caused increase of $120.9 billion in net dividends in IVQ2012 followed with adjustment in the form of decrease of net dividends by $103.8 billion in IQ2013, rebounding with $273.5 billion in IIQ2013. There is similar decrease of $80.1 billion in undistributed profits with IVA and CCA in IVQ2012 followed by increase of $102.1 billion in IQ2013 and decline of $216.6 billion in IIQ2013. Undistributed profits of US corporations swelled 263.4 percent from $107.7 billion IQ2007 to $391.4 billion in IIQ2013 and changed signs from minus $55.9 billion in billion in IVQ2007 (Section IA2). In IQ2013, corporate profits with inventory valuation and capital consumption adjustment fell $26.6 billion relative to IVQ2012, from $2047.2 billion to $2020.6 billion at the quarterly rate of minus 1.3 percent. In IIQ2013, corporate profits with IVA and CCA increased $66.8 billion from $2020.6 billion in IQ2013 to $2087.4 billion at the quarterly rate of 3.3 percent (http://www.bea.gov/newsreleases/national/gdp/2013/pdf/gdp2q13_3rd.pdf). Uncertainty originating in fiscal, regulatory and monetary policy causes wide swings in expectations and decisions by the private sector with adverse effects on investment, real economic activity and employment. The investment decision of US business is fractured.

It may be quite painful to exit QE→∞ or use of the balance sheet of the central together with zero interest rates forever. The basic valuation equation that is also used in capital budgeting postulates that the value of stocks or of an investment project is given by:

Where R_τ is expected revenue in the time horizon from τ =1 to T; C_τ denotes costs; and ρ is an appropriate rate of discount. In words, the value today of a stock or investment project is the net revenue, or revenue less costs, in the investment period from τ =1 to T discounted to the present by an appropriate rate of discount. In the current weak economy, revenues have been increasing more slowly than anticipated in investment plans. An increase in interest rates would affect discount rates used in calculations of present value, resulting in frustration of investment decisions. If V represents value of the stock or investment project, as ρ → ∞, meaning that interest rates increase without bound, then V → 0, or

declines. Equally, decline in expected revenue from the stock or project, R_τ, causes decline in valuation. An intriguing issue is the difference in performance of valuations of risk financial assets and economic growth and employment. Paul A. Samuelson (http://www.nobelprize.org/nobel_prizes/economics/laureates/1970/samuelson-bio.html) popularized the view of the elusive relation between stock markets and economic activity in an often-quoted phrase “the stock market has predicted nine of the last five recessions.” In the presence of zero interest rates forever, valuations of risk financial assets are likely to differ from the performance of the overall economy. The interrelations of financial and economic variables prove difficult to analyze and measure.

Table VI-4, Stock Indexes, Commodities, Dollar and 10-Year Treasury

	Peak	Trough	∆% to Trough	∆% Peak to 10/4/ /13	∆% Week 10/4/13	∆% Trough to 10/4/ 13
DJIA	4/26/ 10	7/2/10	-13.6	34.5	-1.2	55.6
S&P 500	4/23/ 10	7/20/ 10	-16.0	38.9	-0.1	65.3
NYSE Finance	4/15/ 10	7/2/10	-20.3	12.7	0.1	41.5
Dow Global	4/15/ 10	7/2/10	-18.4	11.6	-0.1	36.8
Asia Pacific	4/15/ 10	7/2/10	-12.5	9.0	-1.1	24.5
Japan Nikkei Aver.	4/05/ 10	8/31/ 10	-22.5	23.1	-5.0	58.9
China Shang.	4/15/ 10	7/02 /10	-24.7	-31.3	0.7	-8.7
STOXX 50	4/15/10	7/2/10	-15.3	2.0	-0.9	20.4
DAX	4/26/ 10	5/25/ 10	-10.5	36.2	-0.4	52.1
Dollar Euro	11/25 2009	6/7 2010	21.2	10.4	-0.3	-13.7
DJ UBS Comm.	1/6/ 10	7/2/10	-14.5	-12.3	-0.6	2.6
10-Year T Note	4/5/ 10	4/6/10	3.986	2.784	2.645

T: trough; Dollar: positive sign appreciation relative to euro (less dollars paid per euro), negative sign depreciation relative to euro (more dollars paid per euro)

Source: http://professional.wsj.com/mdc/page/marketsdata.html?mod=WSJ_hps_marketdata

Appendix: Annotated Chronology of Risk Events. Another rising risk is division within the Federal Open Market Committee (FOMC) on risks and benefits of current policies as expressed in the minutes of the meeting held on Jan 29-30, 2013 (http://www.federalreserve.gov/monetarypolicy/files/fomcminutes20130130.pdf 13):

“However, many participants also expressed some concerns about potential costs and risks arising from further asset purchases. Several participants discussed the possible complications that additional purchases could cause for the eventual withdrawal of policy accommodation, a few mentioned the prospect of inflationary risks, and some noted that further asset purchases could foster market behavior that could undermine financial stability. Several participants noted that a very large portfolio of long-duration assets would, under certain circumstances, expose the Federal Reserve to significant capital losses when these holdings were unwound, but others pointed to offsetting factors and one noted that losses would not impede the effective operation of monetary policy.

Jon Hilsenrath, writing on “Fed maps exit from stimulus,” on May 11, 2013, published in the Wall Street Journal (http://online.wsj.com/article/SB10001424127887324744104578475273101471896.html?mod=WSJ_hp_LEFTWhatsNewsCollection), analyzes the development of strategy for unwinding quantitative easing and how it can create uncertainty in financial markets. Jon Hilsenrath and Victoria McGrane, writing on “Fed slip over how long to keep cash spigot open,” published on Feb 20, 2013 in the Wall street Journal (http://professional.wsj.com/article/SB10001424127887323511804578298121033876536.html), analyze the minutes of the Fed, comments by members of the FOMC and data showing increase in holdings of riskier debt by investors, record issuance of junk bonds, mortgage securities and corporate loans.

The week of May 24 was dominated by the testimony of Chairman Bernanke to the Joint Economic Committee of the US Congress on May 22, 2013 (http://www.federalreserve.gov/newsevents/testimony/bernanke20130522a.htm), followed by questions and answers and the release on May 22, 2013 of the minutes of the meeting of the Federal Open Market Committee (FOMC) from Apr 30 to May 1, 2013 (http://www.federalreserve.gov/monetarypolicy/fomcminutes20130501.htm). Monetary policy emphasizes communication of policy intentions to avoid that expectations reverse outcomes in reality (Kydland and Prescott 1977). Jon Hilsenrath, writing on “In bid for clarity, Fed delivers opacity,” on May 23, 2013, published in the Wall Street Journal (http://online.wsj.com/article/SB10001424127887323336104578501552642287218.html?KEYWORDS=articles+by+jon+hilsenrath), analyzes discrepancies in communication by the Fed. The annotated chart of values of the Dow Jones Industrial Average (DJIA) during trading on May 23,2013 provided by Hinselrath, links the prepared testimony of Chairman Bernanke at 10:AM, following questions and answers and the release of the minutes of the FOMC at 2PM. Financial markets strengthened between 10 and 10:30AM on May 23, 2013, perhaps because of the statement by Chairman Bernanke in prepared testimony (http://www.federalreserve.gov/newsevents/testimony/bernanke20130522a.htm):

“A premature tightening of monetary policy could lead interest rates to rise temporarily but would also carry a substantial risk of slowing or ending the economic recovery and causing inflation to fall further. Such outcomes tend to be associated with extended periods of lower, not higher, interest rates, as well as poor returns on other assets. Moreover, renewed economic weakness would pose its own risks to financial stability.”

In that testimony, Chairman Bernanke (http://www.federalreserve.gov/newsevents/testimony/bernanke20130522a.htm) also analyzes current weakness of labor markets:

“Despite this improvement, the job market remains weak overall: The unemployment rate is still well above its longer-run normal level, rates of long-term unemployment are historically high, and the labor force participation rate has continued to move down. Moreover, nearly 8 million people are working part time even though they would prefer full-time work. High rates of unemployment and underemployment are extraordinarily costly: Not only do they impose hardships on the affected individuals and their families, they also damage the productive potential of the economy as a whole by eroding workers' skills and--particularly relevant during this commencement season--by preventing many young people from gaining workplace skills and experience in the first place. The loss of output and earnings associated with high unemployment also reduces government revenues and increases spending on income-support programs, thereby leading to larger budget deficits and higher levels of public debt than would otherwise occur.”

Hilsenrath (op. cit. http://online.wsj.com/article/SB10001424127887323336104578501552642287218.html?KEYWORDS=articles+by+jon+hilsenrath) analyzes the subsequent decline of the market from 10:30AM to 10:40AM as Chairman Bernanke responded questions with the statement that withdrawal of stimulus would be determined by data but that it could begin in one of the “next few meetings.” The DJIA recovered part of the losses between 10:40AM and 2PM. The minutes of the FOMC released at 2PM on May 23, 2013, contained a phrase that troubled market participants (http://www.federalreserve.gov/monetarypolicy/fomcminutes20130501.htm): “A number of participants expressed willingness to adjust the flow of purchases downward as early as the June meeting if the economic information received by that time showed evidence of sufficiently strong and sustained growth; however, views differed about what evidence would be necessary and the likelihood of that outcome.” The DJIA closed at 15,387.58 on May 21, 2013 and fell to 15,307.17 at the close on May 22, 2013, with the loss of 0.5 percent occurring after release of the minutes of the FOMC at 2PM when the DJIA stood at around 15,400. The concern about exist of the Fed from stimulus affected markets worldwide as shown in declines of equity indexes in Table III-1 with delays because of differences in trading hours. This behavior shows the trap of unconventional monetary policy with no exit from zero interest rates without risking financial crash and likely adverse repercussions on economic activity.

Jonathan Cheng, writing on “Stocks add 66 points, post first-quarter record,” published on Mar 30, 2012, in the Wall Street Journal (http://professional.wsj.com/article/SB10001424052702303816504577313123753822852.html?mod=WSJ_Markets_LEFTTopStories&mg=reno64-sec-wsj), finds that the DJIA rose 8.1 percent in IQ2012, which is the highest since 1998, while the S&P 500 gained 12 percent. Paul A. Samuelson remarked that “the stock market has predicted nine of the last five recessions.” Another version of this phrase would be that “the stock market has predicted nine of the last five economic booms.”

It is in this context of economic and financial uncertainties that decisions on portfolio choices of risk financial assets must be made. There is a new carry trade that learned from the losses after the crisis of 2007 or learned from the crisis how to avoid losses. The sharp rise in valuations of risk financial assets shown in Table VI-1 after the first policy round of near zero fed funds and quantitative easing by the equivalent of withdrawing supply with the suspension of the 30-year Treasury auction was on a smooth trend with relatively subdued fluctuations. The credit crisis and global recession have been followed by significant fluctuations originating in sovereign risk issues in Europe, doubts of continuing high growth and accelerating inflation in China now complicated by political developments, events such as in the Middle East and Japan and legislative restructuring, regulation, insufficient growth, falling real wages, depressed hiring and high job stress of unemployment and underemployment in the US now with realization of growth standstill. The “trend is your friend” motto of traders has been replaced with a “hit and realize profit” approach of managing positions to realize profits without sitting on positions. There is a trend of valuation of risk financial assets driven by the carry trade from zero interest rates with fluctuations provoked by events of risk aversion or the “sharp shifts in risk appetite” of Blanchard (2012WEOApr, XIII). Table VI-4, which is updated for every comment of this blog, shows the deep contraction of valuations of risk financial assets after the Apr 2010 sovereign risk issues in the fourth column “∆% to Trough.” There was sharp recovery after around Jul 2010 in the last column “∆% Trough to 6/21/13,” which has been recently stalling or reversing amidst bouts of risk aversion. “Let’s twist again” monetary policy during the week of Sep 23 caused deep worldwide risk aversion and selloff of risk financial assets (http://cmpassocregulationblog.blogspot.com/2011/09/imf-view-of-world-economy-and-finance.html http://cmpassocregulationblog.blogspot.com/2011/09/collapse-of-household-income-and-wealth.html). Monetary policy was designed to increase risk appetite but instead suffocated risk exposures. There has been rollercoaster fluctuation in risk aversion and financial risk asset valuations: surge in the week of Dec 2, 2011, mixed performance of markets in the week of Dec 9, renewed risk aversion in the week of Dec 16, end-of-the-year relaxed risk aversion in thin markets in the weeks of Dec 23 and Dec 30, mixed sentiment in the weeks of Jan 6 and Jan 13 2012 and strength in the weeks of Jan 20, Jan 27 and Feb 3 followed by weakness in the week of Feb 10 but strength in the weeks of Feb 17 and 24 followed by uncertainty on financial counterparty risk in the weeks of Mar 2 and Mar 9. All financial values have fluctuated with events such as the surge in the week of Mar 16 on favorable news of Greece’s bailout even with new risk issues arising in the week of Mar 23 but renewed risk appetite in the week of Mar 30 because of the end of the quarter and the increase in the firewall of support of sovereign debts in the euro area. New risks developed in the week of Apr 6 with increase of yields of sovereign bonds of Spain and Italy, doubts on Fed policy and weak employment report. Asia and financial entities are experiencing their own risk environments. Financial markets were under stress in the week of Apr 13 because of the large exposure of Spanish banks to lending by the European Central Bank and the annual equivalent growth rate of China’s GDP of 7.4 percent in IQ2012 [(1.018)⁴], which was repeated in IIQ2012. There was strength again in the week of Apr 20 because of the enhanced IMF firewall and Spain placement of debt, continuing into the week of Apr 27. Risk aversion returned in the week of May 4 because of the expectation of elections in Europe and the new trend of deterioration of job creation in the US. Europe’s sovereign debt crisis and the fractured US job market continued to influence risk aversion in the week of May 11. Politics in Greece and banking issues in Spain were important factors of sharper risk aversion in the week of May 18. Risk aversion continued during the week of May 25 and exploded in the week of Jun 1. Expectations of stimulus by central banks caused valuation of risk financial assets in the week of Jun 8 and in the week of Jun 15. Expectations of major stimulus were frustrated by minor continuance of maturity extension policy in the week of Jun 22 together with doubts on the silent bank run in highly indebted euro area member countries. There was a major rally of valuations of risk financial assets in the week of Jun 29 with the announcement of new measures on bank resolutions by the European Council. New doubts surfaced in the week of Jul 6, 2012 on the implementation of the bank resolution mechanism and on the outlook for the world economy because of interest rate reductions by the European Central, Bank of England and People’s Bank of China. Risk appetite returned in the week of July 13 in relief that economic data suggests continuing high growth in China but fiscal and banking uncertainties in Spain spread to Italy in the selloff of July 20, 2012. Mario Draghi (2012Jul26), president of the European Central Bank, stated: “But there is another message I want to tell you.

Within our mandate, the ECB is ready to do whatever it takes to preserve the euro. And believe me, it will be enough.” This statement caused return of risk appetite, driving upward valuations of risk financial assets worldwide. Buiter (2011Oct31) analyzes that the European Financial Stability Fund (EFSF) would need a “bigger bazooka” to bail out euro members in difficulties that could possibly be provided by the ECB. The dimensions of the problem may require more firepower than a bazooka perhaps that of the largest conventional bomb of all times of 44,000 pounds experimentally detonated only once by the US in 1948 (http://www.airpower.au.af.mil/airchronicles/aureview/1967/mar-apr/coker.html). Buiter (2012Oct15) finds that resolution of the euro crisis requires full banking union together with restructuring the sovereign debt of at least four and possibly total seven European countries. Risk appetite continued in the week of Aug 3, 2012, in expectation of purchases of sovereign bonds by the ECB. Growth of China’s exports by 1.0 percent in the 12 months ending in Jul 2012 released in the week of Aug 10, 2012, together with doubts on the purchases of bonds by the ECB injected a mild dose of risk aversion. There was optimism on the resolution of the European debt crisis on Aug 17, 2012. The week of Aug 24, 2012 had alternating shocks of risk aversion and risk appetite from the uncertainties of success of the Greek adjustment program, the coming decision of the Federal Constitutional Court of Germany on the European Stability Mechanism, disagreements between the Deutsche Bundesbank and the European Central Bank on purchase of sovereign bonds of highly indebted euro area member countries and the exchange of letters between Darrell E. Issa (2012Aug1), Chairman of the House Committee on Oversight and Government Reform, and Chairman Bernanke (2012Aug22) on monetary policy. Bernanke (2012JHAug31) and Draghi (2012Aug29) generated risk enthusiasm in the week of Aug 31, 2012. Risk appetite returned in the week of Sep 7, 2012, with the announcement of the bond-buying program of OMT (Outright Monetary Transactions) on Sep 6, 2012, by the European Central Bank (http://www.ecb.int/press/pr/date/2012/html/pr120906_1.en.html). Valuations of risk financial assets increased sharply after the statement of the FOMC on Sep 13, 2012 with open-ended quantitative easing and self-imposed single-mandate of jobs that would maintain easing monetary policy well after the economy returns to full potential. Risk aversion returned in the week of Sep 21, 2012 on doubts about the success of quantitative easing and weakness in flash purchasing managers’ indices. Risk aversion returned in the week of Sep 28, 2012, because of uncertainty on the consequences of a bailout of Spain and weakness of central banks in controlling financial turbulence but was followed by risk appetite in the week of Oct 5, aversion in the week of Oct 12 and mixed views in the week of Oct 19. Revenue declines for reporting companies caused decline of stocks in the week of Oct 26. Continuing risk aversion originates in the week of Nov 9 from the unresolved European debt crisis, world economic slowdown and low growth with fiscal challenges in the United States. Risk aversion continued in the week of Nov 16 with the unresolved European debt crisis, world economic slowdown and the unsustainable deficit/debt of the US threatening prosperity. Risk appetite returned in the Thanksgiving week with expectations of a deal for avoiding expenditure reductions and tax increases in the US in 2013. Risks doubts returned in some markets in the week of Nov 30 with impasse in fiscal negotiations in the US and sovereign debt doubts in Europe. Increase in China’s purchasing managers’ indexes stimulated markets that did not react adversely to downgrades of growth by the Deutsche Bundesbank and the European Central Bank in the week of Dec 7, 2012. The flash HSBC manufacturing PMI index showing the highest reading in 14 months also supported Chinese stocks. Unsustainable deficit/debt in the United States is dominating financial/economic risk perceptions in the weeks of Dec 21 and 28, 2012. Equity markets soared in the week of Jan 4, 2013 with H.R. 8 American Taxpayer Relief Act of 2012 (http://www.gpo.gov/fdsys/pkg/BILLS-112hr8eas/pdf/BILLS-112hr8eas.pdf). Market rallied in the week of Jan 18, 2012, on the expectation of a deal to circumvent the debt limit of the United States, which hides the unresolved unsustainable Federal deficit/debt. The highest valuations in column “∆% Trough to 6/14/13” of Table VI-4 are by US equities indexes: DJIA 55.6 percent and S&P 500 59.3 percent, driven by stronger earnings and economy in the US than in other advanced economies but with doubts on the relation of business revenue to the weakening economy and fractured job market. DAX of Germany is now 43.3 percent above the trough. The overwhelming risk factor is the unsustainable Treasury deficit/debt of the United States (http://cmpassocregulationblog.blogspot.com/2013/02/united-states-unsustainable-fiscal.html). Another rising risk is division within the Federal Open Market Committee (FOMC) on risks and benefits of current policies as expressed in the minutes of the meeting held on Jan 29-30, 2013 (http://www.federalreserve.gov/monetarypolicy/files/fomcminutes20130130.pdf 13):

Bernanke (2010WP) and Yellen (2011AS) reveal the emphasis of monetary policy on the impact of the rise of stock market valuations in stimulating consumption by wealth effects on household confidence. Table VI-5 shows a gain by Apr 29, 2011 in the DJIA of 14.3 percent and of the S&P 500 of 12.5 percent since Apr 26, 2010, around the time when sovereign risk issues in Europe began to be acknowledged in financial risk asset valuations. The last row of Table VI-5 for Sep 27, 2013, shows that the S&P 500 is now 39.5 percent above the Apr 26, 2010 level and the DJIA is 34.5 percent above the level on Apr 26, 2010. Multiple rounds of risk aversion eroded earlier gains, showing that risk aversion can destroy market value even with zero interest rates. Relaxed risk aversion has contributed to recovery of valuations. Much the same as zero interest rates and quantitative easing have not had any effects in recovering economic activity while distorting financial markets and resource allocation.

Table VI-5, Percentage Changes of DJIA and S&P 500 in Selected Dates

	∆% DJIA from prior date	∆% DJIA from Apr 26 2010	∆% S&P 500 from prior date	∆% S&P 500 from Apr 26 2010
Apr 26 2010
May 6	-6.1	-6.1	-6.9	-6.9
May 26	-5.2	-10.9	-5.4	-11.9
Jun 8	-1.2	-11.3	2.1	-12.4
Jul 2	-2.6	-13.6	-3.8	-15.7
Aug 9	10.5	-4.3	10.3	-7.0
Aug 31	-6.4	-10.6	-6.9	-13.4
Nov 5	14.2	2.1	16.8	1.0
Nov 30	-3.8	-3.8	-3.7	-2.6
Dec 17	4.4	2.5	5.3	2.6
Dec 23	0.7	3.3	1.0	3.7
Dec 31	0.03	3.3	0.07	3.8
Jan 7 2011	0.8	4.2	1.1	4.9
Jan 14	0.9	5.2	1.7	6.7
Jan 21	0.7	5.9	-0.8	5.9
Jan 28	-0.4	5.5	-0.5	5.3
Feb 4	2.3	7.9	2.7	8.1
Feb 11	1.5	9.5	1.4	9.7
Feb 18	0.9	10.6	1.0	10.8
Feb 25	-2.1	8.3	-1.7	8.9
Mar 4	0.3	8.6	0.1	9.0
Mar 11	-1.0	7.5	-1.3	7.6
Mar 18	-1.5	5.8	-1.9	5.5
Mar 25	3.1	9.1	2.7	8.4
Apr 1	1.3	10.5	1.4	9.9
Apr 8	0.03	10.5	-0.3	9.6
Apr 15	-0.3	10.1	-0.6	8.9
Apr 22	1.3	11.6	1.3	10.3
Apr 29	2.4	14.3	1.9	12.5
May 6	-1.3	12.8	-1.7	10.6
May 13	-0.3	12.4	-0.2	10.4
May 20	-0.7	11.7	-0.3	10.0
May 27	-0.6	11.0	-0.2	9.8
Jun 3	-2.3	8.4	-2.3	7.3
Jun 10	-1.6	6.7	-2.2	4.9
Jun 17	0.4	7.1	0.04	4.9
Jun 24	-0.6	6.5	-0.2	4.6
Jul 1	5.4	12.3	5.6	10.5
Jul 8	0.6	12.9	0.3	10.9
Jul 15	-1.4	11.4	-2.1	8.6
Jul 22	1.6	13.2	2.2	10.9
Jul 29	-4.2	8.4	-3.9	6.6
Aug 05	-5.8	2.1	-7.2	-1.0
Aug 12	-1.5	0.6	-1.7	-2.7
Aug 19	-4.0	-3.5	-4.7	-7.3
Aug 26	4.3	0.7	4.7	-2.9
Sep 02	-0.4	0.3	-0.2	-3.1
Sep 09	-2.2	-1.9	-1.7	-4.8
Sep 16	4.7	2.7	5.4	0.3
Sep 23	-6.4	-3.9	-6.5	-6.2
Sep 30	1.3	-2.6	-0.4	-6.7
Oct 7	1.7	-0.9	2.1	-4.7
Oct 14	4.9	3.9	5.9	1.0
Oct 21	1.4	5.4	1.1	2.2
Oct 28	3.6	9.2	3.8	6.0
Nov 04	-2.0	6.9	-2.5	3.4
Nov 11	1.4	8.5	0.8	4.3
Nov 18	-2.9	5.3	-3.8	0.3
Nov 25	-4.8	0.2	-4.7	-4.4
Dec 02	7.0	7.3	7.4	2.7
Dec 09	1.4	8.7	0.9	3.6
Dec 16	-2.6	5.9	-2.8	0.6
Dec 23	3.6	9.7	3.7	4.4
Dec 30	-0.6	9.0	-0.6	3.8
Jan 6 2012	1.2	10.3	1.6	5.4
Jan 13	0.5	10.9	0.9	6.4
Jan 20	2.4	13.5	2.0	8.5
Jan 27	-0.5	13.0	0.1	8.6
Feb 3	1.6	14.8	2.2	11.0
Feb 10	-0.5	14.2	-0.2	10.8
Feb 17	1.2	15.6	1.4	12.3
Feb 24	0.3	15.9	0.3	12.7
Mar 2	0.0	15.8	0.3	13.0
Mar 9	-0.4	15.3	0.1	13.1
Mar 16	2.4	18.1	2.4	15.9
Mar 23	-1.1	16.7	-0.5	15.3
Mar 30	1.0	17.9	0.8	16.2
Apr 6	-1.1	16.6	-0.7	15.3
Apr 13	-1.6	14.7	-2.0	13.1
Apr 20	1.4	16.3	0.6	13.7
Apr 27	1.5	18.1	1.8	15.8
May 4	-1.4	16.4	-2.3	12.9
May 11	-1.7	14.4	-1.1	11.7
May 18	-3.5	10.4	-4.3	6.4
May 25	0.7	11.2	1.7	8.7
Jun 1	-2.7	8.2	-3.0	5.4
Jun 8	3.6	12.0	3.7	9.4
Jun 15	1.7	13.9	1.3	10.8
Jun 22	-1.0	12.8	-0.6	10.1
Jun 29	1.9	14.9	2.0	12.4
Jul 6	-0.8	14.0	-0.5	11.8
Jul 13	0.0	14.0	0.2	11.9
Jul 20	0.4	14.4	0.4	12.4
Jul 27	2.0	16.7	1.7	14.3
Aug 3	0.2	16.9	0.4	14.8
Aug 10	0.9	17.9	1.1	16.0
Aug 17	0.5	18.5	0.9	17.0
Aug 24	-0.9	17.4	-0.5	16.4
Aug 31	-0.5	16.8	-0.3	16.0
Sep 7	1.6	18.8	2.2	18.6
Sep 14	2.2	21.3	1.90	20.9
Sep 21	-0.1	21.2	-0.4	20.5
Sep 28	-1.0	19.9	-1.3	18.9
Oct 5	1.3	21.5	1.4	20.5
Oct 12	-2.1	18.9	-2.2	17.9
Oct 19	0.1	19.1	0.3	18.3
Oct 26	-1.8	17.0	-1.5	16.5
Nov 2	-0.1	16.9	0.2	16.7
Nov 9	-2.1	14.4	-2.4	13.8
Nov 16	-1.8	12.3	-1.4	12.2
Nov 23	3.3	16.1	3.6	16.3
Nov 30	0.1	16.2	0.5	16.8
Dec 7	1.0	17.4	0.1	17.0
Dec 14	-0.2	17.2	-0.3	16.6
Dec 21	0.4	17.7	1.2	18.0
Dec 28	-1.9	15.5	-1.9	15.7
Jan 4 2013	3.8	19.9	4.6	21.0
Jan 11	0.4	20.4	0.4	21.5
Jan 18	1.2	21.8	0.9	22.6
Jan 25	1.8	24.0	1.1	24.0
Feb 1	0.8	25.0	0.7	24.8
Feb 8	-0.1	24.9	0.3	25.2
Feb 15	-0.1	24.8	0.1	25.4
Feb 22	0.1	24.9	-0.3	25.0
Mar 1	0.6	25.7	0.2	25.3
Mar 8	2.2	28.5	2.2	28.0
Mar 15	0.8	29.5	0.6	28.8
Mar 22	0.0	29.5	-0.2	28.5
Mar 29	0.5	30.1	0.8	29.5
Apr 5	-0.1	30.0	-1.0	28.2
Apr 12	2.1	32.7	2.3	31.1
Apr 19	-2.1	29.8	-2.1	28.3
Aug 26	1.1	31.3	1.7	30.5
May 3	1.8	33.6	2.0	33.2
May 10	1.0	34.9	1.2	34.8
May 17	1.6	37.0	2.1	37.6
May 24	-0.3	36.6	-1.1	36.1
May 31	-1.2	34.9	-1.1	34.5
Jun 7	0.9	36.1	0.8	35.6
Jun 14	-1.2	34.5	-0.9	34.4
Jun 21	-1.8	32.1	-2.2	31.4
Jun 28	0.7	33.1	0.9	32.5
Jul 5	1.5	35.1	1.6	34.6
Jul 12	2.2	38.0	3.0	38.6
Jul 19	0.5	38.7	0.7	39.6
Jul 26	0.1	38.9	0.0	39.6
Aug 2	0.6	39.7	1.1	41.1
Aug 9	-1.5	37.7	-1.1	39.6
Aug 16	-2.2	34.6	-2.1	36.6
Aug 23	-0.5	34.0	0.5	37.2
Aug 30	-1.3	32.2	-1.8	34.7
Sep 6	0.8	33.2	1.4	36.6
Sep 13	3.0	37.2	2.0	39.3
Sep 20	0.5	37.9	1.3	41.1
Sep 27	-1.2	36.2	-1.1	39.6
Oct 4	-1.2	34.5	-0.1	39.5

Source: http://professional.wsj.com/mdc/public/page/mdc_us_stocks.html?mod=mdc_topnav_2_3014

The Communiqué of Meeting of G20 Finance Ministers and Central Bank Governors in Moscow on February 16, 2013, available at the University of Toronto G20 Information Center (http://www.g8.utoronto.ca/g20/2013/2013-0216-finance.html), appears to rule out currency wars:

“Global Economy and G20 Framework for Strong, Sustainable and Balanced Growth

2. Thanks to the important policy actions in Europe, the US, Japan, and the resilience of the Chinese economy, tail risks to the global economy have receded and financial market conditions have improved. However, we recognize that important risks remain and global growth is still too weak, with unemployment remaining unacceptably high in many countries. We agree that the weak global performance derives from policy uncertainty, private deleveraging, fiscal drag, and impaired credit intermediation, as well as incomplete rebalancing of global demand. Under these circumstances, a sustained effort is required to continue building a stronger economic and monetary union in the euro area and to resolve uncertainties related to the fiscal situation in the United States and Japan, as well as to boost domestic sources of growth in surplus economies, taking into account special circumstances of large commodity producers.

3. To address the weakness of the global economy, ambitious reforms and coordinated policies are key to achieving strong, sustainable and balanced growth and restoring confidence. We will continue to implement our previous commitments, including on the financial reform agenda to build a more resilient financial system and on ambitious structural reforms to lift growth. We are committed to ensuring sustainable public finances. Advanced economies will develop credible medium-term fiscal strategies in line with the commitments made by our Leaders in Los Cabos by the St Petersburg Summit. Credible medium-term fiscal consolidation plans will be put in place, and implemented taking into account near-term economic conditions and fiscal space where available. We support action to improve the flow of credit to the economy, where necessary. Monetary policy should be directed toward domestic price stability and continuing to support economic recovery according to the respective mandates. We commit to monitor and minimize the negative spillovers on other countries of policies implemented for domestic purposes. We look forward to the results of the ongoing work on spillovers in the Framework Working Group.

4. We have adopted an assessment process on the implementation of our structural reform commitments, which will inform the direction of our future structural policies.

5. We reaffirm our commitment to cooperate for achieving a lasting reduction in global imbalances, and pursue structural reforms affecting domestic savings and improving productivity. We reiterate our commitments to move more rapidly toward more market-determined exchange rate systems and exchange rate flexibility to reflect underlying fundamentals, and avoid persistent exchange rate misalignments and in this regard, work more closely with one another so we can grow together. We reiterate that excess volatility of financial flows and disorderly movements in exchange rates have adverse implications for economic and financial stability. We will refrain from competitive devaluation. We will not target our exchange rates for competitive purposes, will resist all forms of protectionism and keep our markets open.”

The final phrases rule out “competitive devaluation” and the use of “exchange rates for competitive purposes.” What is seriously absent in this statement of intentions is monetary policy, which is precisely the mechanism by which competitive devaluations are currently implemented.

In the restatement of the liquidity trap and large-scale policies of monetary/fiscal stimulus, Krugman (1998, 162) finds:

“In the traditional open economy IS-LM model developed by Robert Mundell [1963] and Marcus Fleming [1962], and also in large-scale econometric models, monetary expansion unambiguously leads to currency depreciation. But there are two offsetting effects on the current account balance. On one side, the currency depreciation tends to increase net exports; on the other side, the expansion of the domestic economy tends to increase imports. For what it is worth, policy experiments on such models seem to suggest that these effects very nearly cancel each other out.

Krugman (1998) uses a different dynamic model with expectations that leads to similar conclusions.

The central bank could also be pursuing competitive devaluation of the national currency in the belief that it could increase inflation to a higher level and promote domestic growth and employment at the expense of growth and unemployment in the rest of the world. An essay by Chairman Bernanke in 1999 on Japanese monetary policy received attention in the press, stating that (Bernanke 2000, 165):

“Roosevelt’s specific policy actions were, I think, less important than his willingness to be aggressive and experiment—in short, to do whatever it took to get the country moving again. Many of his policies did not work as intended, but in the end FDR deserves great credit for having the courage to abandon failed paradigms and to do what needed to be done”

Quantitative easing has never been proposed by Chairman Bernanke or other economists as certain science without adverse effects. What has not been mentioned in the press is another suggestion to the Bank of Japan (BOJ) by Chairman Bernanke in the same essay that is very relevant to current events and the contentious issue of ongoing devaluation wars (Bernanke 2000, 161):

“The BOJ could probably undertake yen depreciation unilaterally; because the BOJ has a legal mandate to pursue price stability, it certainly could make a good argument that, with interest rates at zero, depreciation of the yen is the best available tool for achieving its mandated objective. Defenders of inaction on the yen claim that a large yen depreciation would therefore create serious international tensions. Whatever validity this political argument may have had at various times, it is of no relevance at the moment, for Japan has recently been urged by its most powerful allies and trading partners to weaken the yen—and refused! Moreover, the economic validity of the beggar-thy-neighbor thesis is doubtful, as depreciation creates trade—by raising home-country income—as well as diverting it. Perhaps not all those who cite the beggar-thy-neighbor thesis are aware that it had its origins in the Great Depression, when it was used as an argument against the very devaluations that ultimately proved crucial to world economic recovery. A yen trading at 100 to the dollar or less is in no one’s interest.”

Chairman Bernanke is referring to the argument by Joan Robinson based on the experience of the Great Depression that: “in times of general unemployment a game of beggar-my-neighbour is played between the nations, each one endeavouring to throw a larger share of the burden upon the others” (Robinson 1947, 156). Devaluation is one of the tools used in these policies (Robinson 1947, 157). Banking crises dominated the experience of the United States, but countries that recovered were those devaluing early such that competitive devaluations rescued many countries from a recession as strong as that in the US (see references to Ehsan Choudhri, Levis Kochin and Barry Eichengreen in Pelaez and Pelaez, Regulation of Banks and Finance (2009b), 205-9; for the case of Brazil that devalued early in the Great Depression recovering with an increasing trade balance see Pelaez, 1968, 1968b, 1972; Brazil devalued and abandoned the gold standard during crises in the historical period as shown by Pelaez 1976, Pelaez and Suzigan 1981). Beggar-my-neighbor policies did work for individual countries but the criticism of Joan Robinson was that it was not optimal for the world as a whole.

Is depreciation of the dollar the best available tool currently for achieving the dual mandate of higher inflation and lower unemployment? Bernanke (2002) finds dollar devaluation against gold to have been important in preventing further deflation in the 1930s (http://www.federalreserve.gov/boarddocs/speeches/2002/20021121/default.htm):

“Although a policy of intervening to affect the exchange value of the dollar is nowhere on the horizon today, it's worth noting that there have been times when exchange rate policy has been an effective weapon against deflation. A striking example from U.S. history is Franklin Roosevelt's 40 percent devaluation of the dollar against gold in 1933-34, enforced by a program of gold purchases and domestic money creation. The devaluation and the rapid increase in money supply it permitted ended the U.S. deflation remarkably quickly. Indeed, consumer price inflation in the United States, year on year, went from -10.3 percent in 1932 to -5.1 percent in 1933 to 3.4 percent in 1934. The economy grew strongly, and by the way, 1934 was one of the best years of the century for the stock market. If nothing else, the episode illustrates that monetary actions can have powerful effects on the economy, even when the nominal interest rate is at or near zero, as was the case at the time of Roosevelt's devaluation.”

Should the US devalue following Roosevelt? Alternatively, has monetary policy intended devaluation? Fed policy is seeking, deliberately or as a side effect, what Irving Fisher proposed “that great depressions are curable and preventable through reflation and stabilization” (Fisher, 1933, 350). The Fed has created not only high volatility of assets but also what many countries are regarding as a competitive devaluation similar to those criticized by Nurkse (1944). Yellen (2011AS, 6) admits that Fed monetary policy results in dollar devaluation with the objective of increasing net exports, which was the policy that Joan Robinson (1947) labeled as “beggar-my-neighbor” remedies for unemployment. There is increasing unrest within the G20 and worldwide about the appreciation of exchange rates of most countries while the dollar devalues. Global coordination of policies with free riders in an institution of diverse interests such as the G20 is unlikely. Distortions of financial markets in the US and worldwide depend only on more sober evaluation of risks of unconventional policies at a body without free riders, such as the Federal Open Market Committee (FOMC).

Chairman Bernanke (2013Mar 25) reinterprets devaluation and recovery from the Great Depression:

“The uncoordinated abandonment of the gold standard in the early 1930s gave rise to the idea of "beggar-thy-neighbor" policies. According to this analysis, as put forth by important contemporary economists like Joan Robinson, exchange rate depreciations helped the economy whose currency had weakened by making the country more competitive internationally. Indeed, the decline in the value of the pound after 1931 was associated with a relatively early recovery from the Depression by the United Kingdom, in part because of some rebound in exports. However, according to this view, the gains to the depreciating country were equaled or exceeded by the losses to its trading partners, which became less internationally competitive--hence, ‘beggar thy neighbor.’ Economists still agree that Smoot-Hawley and the ensuing tariff wars were highly counterproductive and contributed to the depth and length of the global Depression. However, modern research on the Depression, beginning with the seminal 1985 paper by Barry Eichengreen and Jeffrey Sachs, has changed our view of the effects of the abandonment of the gold standard. Although it is true that leaving the gold standard and the resulting currency depreciation conferred a temporary competitive advantage in some cases, modern research shows that the primary benefit of leaving gold was that it freed countries to use appropriately expansionary monetary policies. By 1935 or 1936, when essentially all major countries had left the gold standard and exchange rates were market-determined, the net trade effects of the changes in currency values were certainly small. Yet the global economy as a whole was much stronger than it had been in 1931. The reason was that, in shedding the strait jacket of the gold standard, each country became free to use monetary policy in a way that was more commensurate with achieving full employment at home.”

Nurkse (1944) raised concern on the contraction of trade by competitive devaluations during the 1930s. Haberler (1937) dwelled on the issue of flexible exchange rates. Bordo and James (2001) provide perceptive exegesis of the views of Haberler (1937) and Nurkse (1944) together with the evolution of thought by Haberler. Policy coordination among sovereigns may be quite difficult in practice even if there were sufficient knowledge and sound forecasts. Friedman (1953) provided strong case in favor of a system of flexible exchange rates.

Eichengreen and Sachs (1985) argue theoretically with measurements using a two-sector model that it is possible for series of devaluations to improve the welfare of all countries. There were adverse effects of depreciation on other countries but depreciation by many countries could be beneficial for all. The important counterfactual is if depreciations by many countries would have promoted faster recovery from the Great Depression. Depreciation in the model of Eichengreen and Sachs (1985) affected domestic and foreign economies through real wages, profitability, international competitiveness and world interest rates. Depreciation causes increase in the money supply that lowers world interest rates, promoting growth of world output. Lower world interest rates could compensate contraction of output from the shift of demand away from home goods originating in neighbor’s exchange depreciation. Eichengreen and Sachs (1985, 946) conclude:

“This much, however, is clear. We do not present a blanket endorsement of the competitive devaluations of the 1930s. Though it is indisputable that currency depreciation conferred macroeconomic benefits on the initiating country, because of accompanying policies the depreciations of the 1930s had beggar-thy-neighbor effects. Though it is likely that currency depreciation (had it been even more widely adopted) would have worked to the benefit of the world as a whole, the sporadic and uncoordinated approach taken to exchange-rate policy in the 1930s tended, other things being equal, to reduce the magnitude of the benefits.”

There could major difference in the current world economy. The initiating impulse for depreciation originates in zero interest rates on the fed funds rate. The dollar is the world’s reserve currency. Risk aversion intermittently channels capital flight to the safe haven of the dollar and US Treasury securities. In the absence of risk aversion, zero interest rates induce carry trades of short positions in dollars and US debt (borrowing) together with long leveraged exposures in risk financial assets such as stocks, emerging stocks, commodities and high-yield bonds. Without risk aversion, the dollar depreciates against every currency in the world. The dollar depreciated against the euro by 39.3 percent from USD 1.1423/EUR con Jun 26, 2003 to USD 1.5914/EUR on Jun 14, 2008 during unconventional monetary policy before the global recession (Table VI-1). Unconventional monetary policy causes devaluation of the dollar relative to other currencies, which can increases net exports of the US that increase aggregate economic activity (Yellen 2011AS). The country issuing the world’s reserve currency appropriates the advantage from initiating devaluation that in policy intends to generate net exports that increase domestic output.

Pelaez and Pelaez (Regulation of Banks and Finance (2009b), 208-209) summarize the experience of Brazil as follows:

“During 1927–9, Brazil accumulated ￡30 million of foreign exchange of which ￡20 million were deposited at its stabilization fund (Pelaez 1968, 43–4). After the decline in coffee prices and the first impact of the Great Depression in Brazil a hot money movement wiped out foreign exchange reserves. In addition, capital inflows stopped entirely. The deterioration of the terms of trade further complicated matters, as the value of exports in foreign currency declined abruptly. Because of this exchange crisis, the service of the foreign debt of Brazil became impossible. In August 1931, the federal government was forced to cancel the payment of principal on certain foreign loans. The balance of trade in 1931 was expected to yield ￡20 million whereas the service of the foreign debt alone amounted to ￡22.6 million. Part of the solution given to these problems was typical of the 1930s. In September 1931, the government of Brazil required that all foreign transactions were to be conducted through the Bank of Brazil. This monopoly of foreign exchange was exercised by the Bank of Brazil for the following three years. Export permits were granted only after the exchange derived from sales abroad was officially sold to the Bank, which in turn allocated it in accordance with the needs of the economy. An active black market in foreign exchange developed. Brazil was in the first group of countries that abandoned early the gold standard, in 1931, and suffered comparatively less from the Great Depression. The Brazilian federal government, advised by the BOE, increased taxes and reduced expenditures in 1931 to compensate a decline in custom receipts (Pelaez 1968, 40). Expenditures caused by a revolution in 1932 in the state of Sao Paulo and a drought in the northeast explain the deficit. During 1932–6, the federal government engaged in strong efforts to stabilize the budget. Apart from the deliberate efforts to balance the budget during the 1930s, the recovery in economic activity itself may have induced a large part of the reduction of the deficit (Ibid, 41). Brazil’s experience is similar to that of the United States in that fiscal policy did not promote recovery from the Great Depression.”

Table VI-6, updated with every blog comment, shows that exchange rate valuations affect a large variety of countries, in fact, almost the entire world, in magnitudes that cause major problems for domestic monetary policy and trade flows. Dollar devaluation is expected to continue because of zero fed funds rate, expectations of rising inflation, large budget deficit of the federal government (http://professional.wsj.com/article/SB10001424052748703907004576279321350926848.html?mod=WSJ_hp_LEFTWhatsNewsCollection) and now zero interest rates indefinitely but with interruptions caused by risk aversion events. Such an event actually occurred in the week of Sep 23, 2011 reversing the devaluation of the dollar in the form of sharp appreciation of the dollar relative to other currencies from all over the world including the offshore Chinese yuan market. Column “Peak” in Table VI-6 shows exchange rates during the crisis year of 2008. There was a flight to safety in dollar-denominated government assets as a result of the arguments in favor of TARP (Cochrane and Zingales 2009). This is evident in various exchange rates that depreciated sharply against the dollar such as the South African rand (ZAR) at the peak of depreciation of ZAR 11.578/USD on Oct 22, 2008. Subsequently, the ZAR appreciated to the trough of ZAR 7.238/USD by Aug 15, 2010 but now depreciating by 37.9 percent to ZAR 9.9844/USD on Sep 27, 2013, which is still 13.8 percent stronger than on Oct 22, 2008. An example from Asia is the Singapore Dollar (SGD) that depreciated at the peak of SGD 1.553/USD on Mar 3, 2009. The SGD depreciated by 13.2 percent to the trough of SGD 1.348/USD on Aug 9, 2010 but is now only 7.5 percent stronger at SGD 1.2465/USD on Sep 27, 2013 relative to the trough of depreciation but still stronger by 19.7 percent relative to the peak of depreciation on Mar 3, 2009. Another example is the Brazilian real (BRL) that depreciated at the peak to BRL 2.43/USD on Dec 5, 2008. The BRL appreciated 28.5 percent to the trough at BRL 1.737/USD on Apr 30, 2010, showing depreciation of 27.3 percent relative to the trough to BRL 2.2110/USD on Oct 4, 2013 but still stronger by 9.0 percent relative to the peak on Dec 5, 2008. At one point in 2011, the Brazilian real traded at BRL 1.55/USD and in the week of Sep 23 surpassed BRL 1.90/USD in intraday trading for depreciation of more than 20 percent. The Banco Central do Brasil (BCB), Brazil’s central bank, lowered its policy rate SELIC for nine consecutive meeting (http://www.bcb.gov.br/?INTEREST) of its monetary policy committee, COPOM. Brazil central bank raised the SELIC rate at its most recent meeting (http://www.bcb.gov.br/textonoticia.asp?codigo=3757&IDPAI=NEWS):

“Copom raises the Selic rate to 9.00 percent

28/08/2013 7:40:00 PM

Brasília – Continuing the adjustment process of the basic interest rate, the Copom unanimously decided to increase the Selic rate to 9.00 percent without bias. The Committee evaluates that this decision will contribute to set inflation into decline and ensure that this trend persists in the upcoming year” (http://www.bcb.gov.br/textonoticia.asp?codigo=3757&IDPAI=NEWS). The Banco Central do Brasil is also engaging in FX auctions (http://www.bcb.gov.br/textonoticia.asp?codigo=3754&IDPAI=NEWS):

“BC announces FX auctions program 22/08/2013 6:44:00 PM

With the aim of providing FX ‘hedge” (protection) to the economic agents and liquidity to the FX market, the Banco Central do Brasil informs that a program of FX swap auctions and US dollar sale auctions with repurchase program will begin, as of Friday, August 23. This program will last, at least, until December 31, 2013. The swap auctions will occur every Monday, Tuesday, Wednesday and Thursday, when US$500 million will be offered per day. On Fridays, a credit line of US$1 billion will be offered to the market, through sale auctions with repurchase agreement. If it is considered appropriate, the Banco Central do Brasil will carry out additional operations.”

Jeffrey T. Lewis, writing on “Brazil steps up battle to curb real’s rise,” on Mar 1, 2012, published in the Wall Street Journal (http://professional.wsj.com/article/SB10001424052970203986604577255793224099580.html?mod=WSJ_hp_LEFTWhatsNewsCollection), analyzes new measures by Brazil to prevent further appreciation of its currency, including the extension of the tax on foreign capital for three years terms, subsequently broadened to five years, and intervention in the foreign exchange market by the central bank. Jeff Fick, writing on “Brazil shifts tack to woo wary investors,” on Jun 5, 2013, published in the Wall Street Journal (http://online.wsj.com/article/SB10001424127887324299104578527000680111188.html), analyzes the lifting in the week of Jun 7, 2013, of the tax on foreign transactions designed in Oct 2010 to contain the flood of foreign capital into Brazil that overvalued its currency. Jeffrey T. Lewis, writing on “Brazil’s real closes weaker,” on Jun 14, 2013, published in the Wall Street Journal (http://online.wsj.com/article/SB10001424127887323734304578545680335302180.html), analyzes measures to contain accelerated depreciation such as currency swaps and the lifting of the 1 percent tax on exchange derivatives on Jun 12, 2013. Unconventional monetary policy of zero interest rates and quantitative easing creates trends such as the depreciation of the dollar followed by Table VI-6 but with abrupt reversals during risk aversion. The main effects of unconventional monetary policy are on valuations of risk financial assets and not necessarily on consumption and investment or aggregate demand.

Table VI-6, Exchange Rates

	Peak	Trough	∆% P/T	Oct 4, 2013	∆% T Oct 4, 2013	∆% P Oct 4, 2013
EUR USD	7/15 2008	6/7 2010		10/4/ 2013
Rate	1.59	1.192		1.3557
∆%			-33.4		12.1	-17.3
JPY USD	8/18 2008	9/15 2010		10/4/ 2013
Rate	110.19	83.07		97.47
∆%			24.6		-17.3	11.5
CHF USD	11/21 2008	12/8 2009		10/4/ 2013
Rate	1.225	1.025		0.9072
∆%			16.3		11.5	25.9
USD GBP	7/15 2008	1/2/ 2009		10/4/ 2013
Rate	2.006	1.388		1.6011
∆%			-44.5		13.3	-25.3
USD AUD	7/15 2008	10/27 2008		10/4/ 2013
Rate	1.0215	1.6639		0.9432
∆%			-62.9		36.3	-3.8
ZAR USD	10/22 2008	8/15 2010		10/4/ 2013
Rate	11.578	7.238		9.9844
∆%			37.5		-37.9	13.8
SGD USD	3/3 2009	8/9 2010		10/4/ 2013
Rate	1.553	1.348		1.2465
∆%			13.2		7.5	19.7
HKD USD	8/15 2008	12/14 2009		10/4/ 2013
Rate	7.813	7.752		7.7546
∆%			0.8		0.0	0.7
BRL USD	12/5 2008	4/30 2010		10/4/ 2013
Rate	2.43	1.737		2.2110
∆%			28.5		-27.3	9.0
CZK USD	2/13 2009	8/6 2010		10/4/ 2013
Rate	22.19	18.693		18.859
∆%			15.7		-0.9	15.0
SEK USD	3/4 2009	8/9 2010		10/4/ 2013
Rate	9.313	7.108		6.4281
∆%			23.7		9.6	31.0
CNY USD	7/20 2005	7/15 2008		10/4/ 2013
Rate	8.2765	6.8211		6.1226
∆%			17.6		10.2	26.0

Symbols: USD: US dollar; EUR: euro; JPY: Japanese yen; CHF: Swiss franc; GBP: UK pound; AUD: Australian dollar; ZAR: South African rand; SGD: Singapore dollar; HKD: Hong Kong dollar; BRL: Brazil real; CZK: Czech koruna; SEK: Swedish krona; CNY: Chinese yuan; P: peak; T: trough

Note: percentages calculated with currencies expressed in units of domestic currency per dollar; negative sign means devaluation and no sign appreciation

Source:

http://professional.wsj.com/mdc/public/page/mdc_currencies.html?mod=mdc_topnav_2_3000

There are major ongoing and unresolved realignments of exchange rates in the international financial system as countries and regions seek parities that can optimize their productive structures. Seeking exchange rate parity or exchange rate optimizing internal economic activities is complex in a world of unconventional monetary policy of zero interest rates and even negative nominal interest rates of government obligations such as negative yields for the two-year government bond of Germany. Regulation, trade and devaluation conflicts should have been expected from a global recession (Pelaez and Pelaez (2007), The Global Recession Risk, Pelaez and Pelaez, Government Intervention in Globalization: Regulation, Trade and Devaluation Wars (2008a)): “There are significant grounds for concern on the basis of this experience. International economic cooperation and the international financial framework can collapse during extreme events. It is unlikely that there will be a repetition of the disaster of the Great Depression. However, a milder contraction can trigger regulatory, trade and exchange wars” (Pelaez and Pelaez, Government Intervention in Globalization: Regulation, Trade and Devaluation Wars (2008c), 181). Chart VI-2 of the Board of Governors of the Federal Reserve System provides the key exchange rate of US dollars (USD) per euro (EUR) from Jan 4, 1999 to Sep 27, 2013. US recession dates are in shaded areas. The rate on Jan 4, 1999 was USD 1.1812/EUR, declining to USD 0.8279/EUR on Oct 25, 2000, or appreciation of the USD by 29.9 percent. The rate depreciated 21.9 percent to USD 1.0098/EUR on Jul 22, 2002. There was sharp devaluation of the USD of 34.9 percent to USD 1.3625/EUR on Dec 27, 2004 largely because of the 1 percent interest rate between Jun 2003 and Jun 2004 together with a form of quantitative easing by suspension of auctions of the 30-year Treasury, which was equivalent to withdrawing supply from markets. Another depreciation of 17.5 percent took the rate to USD 1.6010/EUR on Apr 22, 2008, already inside the shaded area of the global recession. The flight to the USD and obligations of the US Treasury appreciated the dollar by 22.3 percent to USD 1.2446/EUR on Oct 27, 2008. In the return of the carry trade after stress tests showed sound US bank balance sheets, the rate depreciated 21.2 percent to USD 1.5085/EUR on Nov 25, 2009. The sovereign debt crisis of Europe in the spring of 2010 caused sharp appreciation of 20.7 percent to USD 1.1959/EUR on Jun 6, 2010. Renewed risk appetite depreciated the rate 24.4 percent to USD 1.4875/EUR on May 3, 2011. The rate appreciated 9.0 percent to USD 1.3537/EUR on Sep 27, 2013, which is the last point in Chart VI-2. The data in Table VI-6 is obtained from closing dates in New York published by the Wall Street Journal (http://professional.wsj.com/mdc/public/page/marketsdata.html?mod=WSJ_PRO_hps_marketdata).

Chart VI-2, US Dollars (USD) per Euro (EUR), Jan 4, 1999 to Sep 27, 2013

Note: US Recessions in Shaded Areas

Source: Board of Governors of the Federal Reserve System

http://www.federalreserve.gov/releases/H10/default.htm

Chart VI-3 of the Board of Governors of the Federal Reserve System provides indexes of the dollar from 2010 to 2012. The dollar depreciates during episodes of risk appetite but appreciate during risk aversion as funds seek dollar-denominated assets in avoiding financial risk.

Chart VI-3, US Dollar Currency Indexes

Source: Board of Governors of the Federal Reserve System

http://www.federalreserve.gov/DataDownload/Chart.aspx?rel=H10&series=122e3bcb627e8e53f1bf72a1a09cfb81&lastObs=260&from=&to=&filetype=csv&label=include&layout=seriescolumn&pp=Download&names=%7bH10/H10/JRXWTFB_N.B,H10/H10/JRXWTFN_N.B,H10/H10/JRXWTFO_N.B%7d

Chart VI-4 of the Board of Governors of the Federal Reserve System provides the exchange rate of the US relative to the euro, or USD/EUR. During maintenance of the policy of zero fed funds rates the dollar appreciates during periods of significant risk aversion such as the flight into US government obligations in late 2008 and early 2009 and during the various fears generated by the European sovereign debt crisis.

Chart VI-4, US Dollars per Euro, 2010-2013

Source: Board of Governors of the Federal Reserve System

http://www.federalreserve.gov/DataDownload/Chart.aspx?rel=H10&series=e85cfb140ce469e13bec458013262fa1&lastObs=780&from=&to=&filetype=csv&label=include&layout=seriescolumn&pp=Download&names=%7bH10/H10/RXI$US_N.B.EU%7d

Chart VI-5 of the Board of Governors of the Federal Reserve System provides the rate of Japanese yen (JPY) per US dollar (USD) from Jan 4, 1971 to Sep 27, 2013. The first data point on the extreme left is JPY 357.7300/USD for Jan 4, 1971. The JPY has appreciated over the long term relative to the USD with fluctuations along an evident long-term appreciation. Before the global recession, the JPY stood at JPY 124.0900/USD on Jun 22, 2007. The use of the JPY as safe haven is evident by sharp appreciation during the global recession to JPY 110.48/USD on Aug 15, 2008, and to JPY 87.8000/USD on Jan 21, 2009. The final data point in Chart VI-5 is JPY 98.3000/USD on Sep 27, 2013 for appreciation of 20.8 percent relative to JPY 124.0900/USD on Jun 22, 2007 before the global recession and expansion characterized by recurring bouts of risk aversion. Takashi Nakamichi and Eleanor Warnock, writing on “Japan lashes out over dollar, euro,” on Dec 29, 2012, published in the Wall Street Journal (http://professional.wsj.com/article/SB10001424127887323530404578207440474874604.html?mod=WSJ_markets_liveupdate&mg=reno64-wsj), analyze the “war of words” launched by Japan’s new Prime Minister Shinzo Abe and his finance minister Taro Aso, arguing of deliberate devaluations of the USD and EUR relative to the JPY, which are hurting Japan’s economic activity. The data in Table VI-6 is obtained from closing dates in New York published by the Wall Street Journal (http://professional.wsj.com/mdc/public/page/marketsdata.html?mod=WSJ_PRO_hps_marketdata).

Chart VI-5, Japanese Yen JPY per US Dollars USD, Monthly, Jan 4, 1971-Sep 27, 2013

Note: US Recessions in Shaded Areas

Source: Board of Governors of the Federal Reserve System

http://www.federalreserve.gov/releases/H10/default.htm

The financial crisis and global recession were caused by interest rate and housing subsidies and affordability policies that encouraged high leverage and risks, low liquidity and unsound credit (Pelaez and Pelaez, Financial Regulation after the Global Recession (2009a), 157-66, Regulation of Banks and Finance (2009b), 217-27, International Financial Architecture (2005), 15-18, The Global Recession Risk (2007), 221-5, Globalization and the State Vol. II (2008b), 197-213, Government Intervention in Globalization (2008c), 182-4). Several past comments of this blog elaborate on these arguments, among which: http://cmpassocregulationblog.blogspot.com/2011/07/causes-of-2007-creditdollar-crisis.html http://cmpassocregulationblog.blogspot.com/2011/01/professor-mckinnons-bubble-economy.html http://cmpassocregulationblog.blogspot.com/2011/01/world-inflation-quantitative-easing.html http://cmpassocregulationblog.blogspot.com/2011/01/treasury-yields-valuation-of-risk.html http://cmpassocregulationblog.blogspot.com/2010/11/quantitative-easing-theory-evidence-and.html http://cmpassocregulationblog.blogspot.com/2010/12/is-fed-printing-money-what-are.html

Zero interest rates in the United States forever tend to depreciate the dollar against every other currency if there is no risk aversion preventing portfolio rebalancing toward risk financial assets, which include the capital markets and exchange rates of emerging-market economies. The objective of unconventional monetary policy as argued by Yellen 2011AS) is to devalue the dollar to increase net exports that increase US economic growth. Increasing net exports and internal economic activity in the US is equivalent to decreasing net exports and internal economic activity in other countries.

Continental territory, rich endowment of natural resources, investment in human capital, teaching and research universities, motivated labor force and entrepreneurial initiative provide Brazil with comparative advantages in multiple economic opportunities. Exchange rate parity is critical in achieving Brazil’s potential but is difficult in a world of zero interest rates. Chart IV-6 of the Board of Governors of the Federal Reserve System provides the rate of Brazilian real (BRL) per US dollar (USD) from BRL 1.2074/USD on Jan 4, 1999 to BRL 2.2577/USD on Sep 27, 2013. The rate reached BRL 3.9450/USD on Oct 10, 2002 appreciating 60.5 percent to BRL 1.5580/USD on Aug 1, 2008. The rate depreciated 68.1 percent to BRL 2.6187/USD on Dec 5, 2008 during worldwide flight from risk. The rate appreciated again by 41.3 percent to BRL 1.5375/USD on Jul 26, 2011. The final data point in Chart VI-6 is BRL 2.2577/USD on Sep 27, 2013 for depreciation of 46.8 percent. The data in Table VI-6 is obtained from closing dates in New York published by the Wall Street Journal (http://professional.wsj.com/mdc/public/page/marketsdata.html?mod=WSJ_PRO_hps_marketdata).

Chart VI-6, Brazilian Real (BRL) per US Dollar (USD) Jan 4, 1999 to Sep 27, 2013

Note: US Recessions in Shaded Areas

Source: Board of Governors of the Federal Reserve System

http://www.federalreserve.gov/releases/H10/default.htm

Chart VI-7 of the Board of Governors of the Federal Reserve System provides the history of the BRL beginning with the first data point of BRL 0.8440/USD on Jan 2, 1995. The rate jumped to BRL 2.0700/USD on Jan 29, 1999 after changes in exchange rate policy and then to BRL 2.2000/USD on Mar 3, 1999. The rate depreciated 26.7 percent to BRL 2.7880/USD on Sep 21, 2001 relative to Mar 3, 1999.

Chart VI-7, Brazilian Real (BRL) per US Dollar (USD), Jan 2, 1995 to Sep 27, 2013

Note: US Recessions in Shaded Areas

Source: Board of Governors of the Federal Reserve System

http://www.federalreserve.gov/releases/H10/default.htm

Table VI-7, updated with every blog comment, provides in the second column the yield at the close of market of the 10-year Treasury note on the date in the first column. The price in the third column is calculated with the coupon of 2.625 percent of the 10-year note current at the time of the second round of quantitative easing after Nov 3, 2010 and the final column “∆% 11/04/10” calculates the percentage change of the price on the date relative to that of 101.2573 at the close of market on Nov 4, 2010, one day after the decision on quantitative easing by the Fed on Nov 3, 2010. Prices with new coupons such as 2.0 percent in recent auctions (http://www.treasurydirect.gov/RI/OFAuctions?form=extended&cusip=912828RR3) are not comparable to prices in Table VI-7. The highest yield in the decade was 5.510 percent on May 1, 2001 that would result in a loss of principal of 22.9 percent relative to the price on Nov 4. Monetary policy has created a “duration trap” of bond prices. Duration is the percentage change in bond price resulting from a percentage change in yield or what economists call the yield elasticity of bond price. Duration is higher the lower the bond coupon and yield, all other things constant. This means that the price loss in a yield rise from low coupons and yields is much higher than with high coupons and yields. Intuitively, the higher coupon payments offset part of the price loss. Prices/yields of Treasury securities were affected by the combination of Fed purchases for its program of quantitative easing and also by the flight to dollar-denominated assets because of geopolitical risks in the Middle East, subsequently by the tragic Great East Japan Earthquake and Tsunami and now again by the sovereign risk doubts in Europe and the growth recession in the US and the world. The yield of 2.645 percent at the close of market on Fri Oct 4, 2013 would be equivalent to price of 99.8253 in a hypothetical bond maturing in 10 years with coupon of 2.625 percent for price loss of 1.4 percent relative to the price on Nov 4, 2010, one day after the decision on the second program of quantitative easing, as shown in the last row of Table VI-7. The price loss between Sep 7, 2012 and Sep 14, 2012 would have been 1.7 percent in just five trading days. The price loss between Jun 1, 2012 and Jun 8, 2012 would have been 1.6 percent, in just a week, and much higher with leverage of 10:1 as typical in Treasury positions. The price loss between Mar 9, 2012 and Mar 16, 2012 is 2.3 percent but much higher when using common leverage of 10:1. The price loss between Dec 28, 2012 and Jan 4, 2013 would have been 1.7 percent. These losses defy annualizing. If inflation accelerates, yields of Treasury securities may rise sharply. Yields are not observed without special yield-lowering effects such as the flight into dollars caused by the events in the Middle East, continuing purchases of Treasury securities by the Fed, the tragic Tōhoku or Great East Earthquake and Tsunami of Mar 11, 2011 affecting Japan, recurring fears on European sovereign credit issues and worldwide risk aversion in the week of Sep 30 caused by “let’s twist again” monetary policy. The realization of a growth standstill recession is also influencing yields. Important causes of the earlier rise in yields shown in Table VI-7 are expectations of rising inflation and US government debt estimated to be around 72.5 percent of GDP in 2012 (http://cmpassocregulationblog.blogspot.com/2013/02/united-states-unsustainable-fiscal.html http://cmpassocregulationblog.blogspot.com/2012/02/thirty-one-million-unemployed-or.html http://cmpassocregulationblog.blogspot.com/2011/08/united-states-gdp-growth-standstill.html http://cmpassocregulationblog.blogspot.com/2011/02/policy-inflation-growth-unemployment.html http://cmpassocregulationblog.blogspot.com/2011/04/budget-quagmire-fed-commodities_10.html), rising from 40.5 percent of GDP in 2008, 54.1 percent in 2009 (Table IV-1 at http://cmpassocregulationblog.blogspot.com/2012/02/thirty-one-million-unemployed-or.html and Table 2 in http://cmpassocregulationblog.blogspot.com/2011/04/budget-quagmire-fed-commodities_10.html) and 67.7 percent in 2011 (see Table IB-2 http://cmpassocregulationblog.blogspot.com/2012/08/expanding-bank-cash-and-deposits-with.html). On Sep 18, 2013, the line “Reserve Bank credit” in the Fed balance sheet stood at $3703.9 billion, or $3.7 trillion. The portfolio of long-term securities (“securities held outright”) of $3466 billion, or $3.4 trillion, consists of $1976 billion Treasury nominal notes and bonds, $87 billion of notes and bonds inflation-indexed, $61 billion Federal agency debt securities and $1342 billion mortgage-backed securities. Reserve balances deposited with Federal Reserve Banks reached $2307 billion or $2.3 trillion (http://www.federalreserve.gov/releases/h41/current/h41.htm#h41tab1). There is no simple exit of this trap created by the highest monetary policy accommodation in US history together with the highest deficits and debt in percent of GDP since World War II. Risk aversion from various sources, discussed in section III World Financial Turbulence, has been affecting financial markets for several months. The risk is that in a reversal of risk aversion that has been typical in this cyclical expansion of the economy yields of Treasury securities may back up sharply.

Table VI-7, Yield, Price and Percentage Change to November 4, 2010 of Ten-Year Treasury Note

Date	Yield	Price	∆% 11/04/10
05/01/01	5.510	78.0582	-22.9
06/10/03	3.112	95.8452	-5.3
06/12/07	5.297	79.4747	-21.5
12/19/08	2.213	104.4981	3.2
12/31/08	2.240	103.4295	2.1
03/19/09	2.605	100.1748	-1.1
06/09/09	3.862	89.8257	-11.3
10/07/09	3.182	95.2643	-5.9
11/27/09	3.197	95.1403	-6.0
12/31/09	3.835	90.0347	-11.1
02/09/10	3.646	91.5239	-9.6
03/04/10	3.605	91.8384	-9.3
04/05/10	3.986	88.8726	-12.2
08/31/10	2.473	101.3338	0.08
10/07/10	2.385	102.1224	0.8
10/28/10	2.658	99.7119	-1.5
11/04/10	2.481	101.2573	-
11/15/10	2.964	97.0867	-4.1
11/26/10	2.869	97.8932	-3.3
12/03/10	3.007	96.7241	-4.5
12/10/10	3.324	94.0982	-7.1
12/15/10	3.517	92.5427	-8.6
12/17/10	3.338	93.9842	-7.2
12/23/10	3.397	93.5051	-7.7
12/31/10	3.228	94.3923	-6.7
01/07/11	3.322	94.1146	-7.1
01/14/11	3.323	94.1064	-7.1
01/21/11	3.414	93.4687	-7.7
01/28/11	3.323	94.1064	-7.1
02/04/11	3.640	91.750	-9.4
02/11/11	3.643	91.5319	-9.6
02/18/11	3.582	92.0157	-9.1
02/25/11	3.414	93.3676	-7.8
03/04/11	3.494	92.7235	-8.4
03/11/11	3.401	93.4727	-7.7
03/18/11	3.273	94.5115	-6.7
03/25/11	3.435	93.1935	-7.9
04/01/11	3.445	93.1129	-8.0
04/08/11	3.576	92.0635	-9.1
04/15/11	3.411	93.3874	-7.8
04/22/11	3.402	93.4646	-7.7
04/29/11	3.290	94.3759	-6.8
05/06/11	3.147	95.5542	-5.6
05/13/11	3.173	95.3387	-5.8
05/20/11	3.146	95.5625	-5.6
05/27/11	3.068	96.2089	-4.9
06/03/11	2.990	96.8672	-4.3
06/10/11	2.973	97.0106	-4.2
06/17/11	2.937	97.3134	-3.9
06/24/11	2.872	97.8662	-3.3
07/01/11	3.186	95.2281	-5.9
07/08/11	3.022	96.5957	-4.6
07/15/11	2.905	97.5851	-3.6
07/22/11	2.964	97.0847	-4.1
07/29/11	2.795	98.5258	-2.7
08/05/11	2.566	100.5175	-0.7
08/12/11	2.249	103.3504	2.1
08/19/11	2.066	105.270	3.7
08/26/11	2.202	103.7781	2.5
09/02/11	1.992	105.7137	4.4
09/09/11	1.918	106.4055	5.1
09/16/11	2.053	101.5434	0.3
09/23/11	1.826	107.2727	5.9
09/30/11	1.912	106.4602	5.1
10/07/11	2.078	104.9161	3.6
10/14/11	2.251	103.3323	2.0
10/21/11	2.220	103.6141	2.3
10/28/11	2.326	102.6540	1.4
11/04/11	2.066	105.0270	3.7
11/11/11	2.057	105.1103	3.8
11/18/11	2.003	105.6113	4.3
11/25/11	1.964	105.9749	4.7
12/02/11	2.042	105.2492	3.9
12/09/11	2.065	105.0363	3.7
12/16/11	1.847	107.0741	5.7
12/23/11	2.027	105.3883	4.1
12/30/11	1.871	106.8476	5.5
01/06/12	1.957	106.0403	4.7
01/13/12	1.869	106.8664	5.5
01/20/12	2.026	105.3976	4.1
01/27/12	1.893	106.6404	5.3
02/03/12	1.923	106.3586	5.0
02/10/12	1.974	105.8815	4.6
02/17/12	2.000	105.6392	4.3
02/24/12	1.977	105.8535	4.5
03/02/12	1.977	105.8535	4.5
03/09/12	2.031	105.3512	4.0
03/16/12	2.294	102.9428	1.7
03/23/12	2.234	103.4867	2.2
03/30/12	2.214	103.6687	2.4
04/06/12	2.058	105.1010	3.8
04/13/12	1.987	105.7603	4.4
04/20/12	1.959	106.0216	4.7
04/27/12	1.931	106.2836	5.0
05/04/12	1.876	106.8004	5.5
05/11/12	1.845	107.0930	5.8
05/18/12	1.714	108.3393	7.0
05/25/12	1.738	108.1098	6.8
06/01/12	1.454	110.8618	9.5
06/08/12	1.635	109.0989	7.7
06/15/12	1.584	109.5924	8.2
06/22/12	1.676	108.7039	7.4
06/29/12	1.648	108.9734	7.6
07/06/12	1.548	109.9423	8.6
07/13/12	1.49	110.5086	9.1
07/20/12	1.459	110.8127	9.4
07/27/12	1.544	109.9812	8.6
08/03/12	1.569	109.7380	8.4
08/10/12	1.658	108.8771	7.5
08/17/12	1.814	107.3864	6.1
08/24/12	1.684	108.6270	7.3
08/31/12	1.543	109.9910	8.6
9/7/12	1.668	108.7808	7.4
9/14/12	1.863	106.9230	5.6
9/21/12	1.753	107.9666	6.6
9/28/12	1.631	109.1375	7.8
10/05/12	1.737	108.1193	6.8
10/12/12	1.663	108.8290	7.5
10/19/12	1.766	107.8426	6.5
10/26/12	1.748	108.0143	6.7
11/02/12	1.715	108.3297	7.0
11/09/12	1.614	109.3018	7.9
11/16/12	1.584	109.5924	8.2
11/23/12	1.691	108.5598	7.2
11/30/12	1.612	109.3211	7.9
12/7/12	1.625	109.1954	7.8
12/14/12	1.704	108.4351	7.1
12/21/12	1.770	107.8045	6.5
12/28/12	1.699	108.4831	7.1
1/4/13	1.898	106.5934	5.3
1/11/13	1.862	106.9324	5.6
1/18/13	1.840	107.1403	5.8
1/25/13	1.947	106.1338	4.8
2/1/13	2.024	105.4161	4.1
2/8/13	1.949	106.1151	4.8
2/15/13	2.007	105.5741	4.3
2/22/13	1.967	105.9469	4.6
3/1/13	1.842	107.1213	5.8
3/8/13	2.056	105.1195	3.8
3/15/13	1.992	105.7137	4.4
03/22/13	1.931	106.2836	5.0
03/29/13	1.847	107.0741	5.7
04/05/13	1.706	108.4160	7.1
04/12/13	1.719	108.2914	6.9
04/19/13	1.702	108.4543	7.1
04/26/13	1.663	108.8290	7.5
05/3/13	1.742	108.2436	6.9
05/10/13	1.896	106.6122	5.3
05/17/13	1.952	106.0870	4.8
05/24/13	2.009	105.5555	4.2
05/31/13	2.132	104.5015	3.2
06/07/13	2.174	104.0338	2.7
06/14/13	2.125	104.4831	3.2
06/21/13	2.542	100.7288	-0.5
06/28/13	2.486	101.2240	0.0
07/5/13	2.734	99.0519	-2.2
07/12/13	2.585	100.3505	-0.9
07/19/13	2.480	101.2772	0.0
07/26/13	2.565	100.5263	-0.7
08/2/13	2.597	100.2452	-1.0
8/9/13	2.579	100.4032	-0.8
8/16/13	2.829	98.2339	-3.0
8/23/13	2.818	98.3283	-2.9
8/30/13	2.784	98.6205	-2.6
9/6/13	2.941	97.2795	-3.9
9/13/13	2.890	97.7128	-3.5
9/20/13	2.734	99.0519	-2.2
9/27/13	2.626	99.9913	-1.3
10/4/13	2.645	99.8253	-1.4

Note: price is calculated for an artificial 10-year note paying semi-annual coupon and maturing in ten years using the actual yields traded on the dates and the coupon of 2.625% on 11/04/10

Source:

http://professional.wsj.com/mdc/public/page/mdc_bonds.html?mod=mdc_topnav_2_3000

Table VI-7A provides federal debt outstanding, held by government accounts and held by the public in millions of dollars for fiscal years from 2007 to 2012. Federal debt outstanding has increased 78.2 percent from fiscal year 2007 to fiscal year 2012 while federal debt held by the public has increased 122.8 percent and federal debt held by government accounts has increased 21.1 percent. In Jun 2013, government debt held by the public reached $11,931,534 million, which is 135.2 percent higher than $5,072,195 million in 2007.

Table VI-7A, US, Federal Debt Outstanding, Held by Government Accounts and Held by the Public, Millions of Dollars

	Outstanding	Held by Government Accounts	Held by the Public
2013 Jun	16,763,286	4,831,752	11,931,534
2013 Mar	16,796,009	4,848,930	11,947,079
2012 Dec	16,457,613	4,846,174	11,611,439
Fiscal Years
2012	16,090,640	4,791,850	11,298,790
2011	14,815,328	4,658,307	10,157,021
2010	13,585,596	4,534,014	9,051,582
2009	11,933,031	4,355,292	7,577,739
2008	10,047,828	4,210,491	5,837,337
2007	9,030,612	3,958,417	5,072,195
∆% 2007-2012	78.2	21.1	122.8

Source: United States Treasury. 2013Sep. Treasury Bulletin. Washington, DC, Sep 2013

http://www.fms.treas.gov/bulletin/index.html

Table VI-7B provides the maturity distribution and average length in months of marketable interest-bearing debt held by private investors from 2007 to Jun 2013. Total debt held by investors increased from $3635 billion in 2007 to $9040 billion in fiscal year 2012 or by 148.7 percent and to $9394 billion in Jun 2012 or increase by 158.4 percent. There are two concerns with the maturity distribution of US debt. (1) Growth of debt is moving total debt to the point of saturation in investors’ portfolio. In a new environment of risk appetite and nonzero fed funds rates with economic growth at historical trend of around 3 percent, yields on risk financial assets are likely to increase. Placement of new debt may require increasing interest rates in an environment of continuing placement of debt by the US Treasury without strong fiscal constraints. (2) Refinancing of maturing debt is likely to occur in an environment of higher interest rates, exerting pressure on future fiscal budgets. In Jun 2013, $2953 billion or 31.4 percent of outstanding debt held by investors matures in less than a year and $4066 billion or 43.3 percent of total debt matures in one to five years. Debt maturing in five years or less adds to $7019 billion or 74.7 percent of total outstanding debt held by investors of $9394 billion. This historical episode may be remembered as one in which the US managed its government debt with short-dated instruments during record low long-dated yields and on the verge of fiscal pressures on all interest rates. This strategy maximizes over time interest payments on government debt by taxpayers that is precisely the opposite of the objective of sound debt management and taxpayer welfare.

Table VI-7B, Maturity Distribution and Average Length in Months of Marketable Interest-Bearing Public Debt Held by Private Investors, Billions of Dollars

End of Fiscal Year or Month	2007	2008	2009	2010	2011	2012	Jun 2013
Total*	3635	4745	6229	7676	7951	9040	9394
<1 Year	1176	2042	2605	2480	2504	2897	2953
1-5 Years	1310	1468	2075	2956	3085	3852	4066
5-10 Years	678	719	995	1529	1544	1488	1566
10-20 Years	292	352	351	341	309	271	247
>20 Years	178	163	204	371	510	533	563
Average Months	58	49	49	57	60	55	55

*Amount Outstanding Privately Held

Source: United States Treasury. 2013Sep. Treasury Bulletin. Washington, Sep.

http://www.fms.treas.gov/bulletin/index.html

Table VI-7C provides additional information required for understanding the deficit/debt situation of the United States. The table is divided into three parts: federal fiscal data for the years from 2009 to 2012; federal fiscal data for the years from 2005 to 2008; and Treasury debt held by the public from 2005 to 2012. Total revenues of the US from 2009 to 2012 accumulate to $9021 billion, or $9.0 trillion, while expenditures or outlays accumulate to $14,109 billion, or $14.1 trillion, with the deficit accumulating to $5090 billion, or $5.1 trillion. Revenues decreased 6.5 percent from $9653 billion in the four years from 2005 to 2008 to $9021 billion in the years from 2009 to 2012. Decreasing revenues were caused by the global recession from IVQ2007 (Dec) to IIQ2009 (Jun) and also by growth of only 2.2 percent on average in the cyclical expansion from IIIQ2009 to IVQ2012. In contrast, the expansion from IQ1983 to IVQ1985 was at the average annual growth rate of 5.7 percent and at 7.8 percent from IQ1983 to IVQ1983 (http://cmpassocregulationblog.blogspot.com/2013/09/mediocre-and-decelerating-united-states.html and earlier http://cmpassocregulationblog.blogspot.com/2013/09/increasing-interest-rate-risk.html). Because of mediocre GDP growth, there are 28.3 million unemployed or underemployed in the United States for an effective unemployment rate of 17.4 percent (http://cmpassocregulationblog.blogspot.com/2013/09/twenty-eight-million-unemployed-or.html). Weakness of growth and employment creation is analyzed in I Collapse of United States Dynamism of Income Growth and Employment Creation (and earlier http://cmpassocregulationblog.blogspot.com/2013/08/interest-rate-risks-duration-dumping.html). In contrast with the decline of revenue, outlays or expenditures increased 30.2 percent from $10,839 billion, or $10.8 trillion, in the four years from 2005 to 2008, to $14,109 billion, or $14.1 trillion, in the four years from 2009 to 2012. Increase in expenditures by 30.2 percent while revenue declined by 6.5 percent caused the increase in the federal deficit from $1186 billion in 2005-2008 to $5090 billion in 2009-2012. Federal revenue was 14.9 percent of GDP on average in the years from 2009 to 2012, which is well below 17.4 percent of GDP on average from 1973 to 2012. Federal outlays were 23.3 percent of GDP on average from 2009 to 2012, which is well above 20.4 percent of GDP on average from 1973 to 2012. The lower part of Table I-2 shows that debt held by the public swelled from $5803 billion in 2008 to $11,281 billion in 2012, by $5478 billion or 94.4 percent. Debt held by the public as percent of GDP or economic activity jumped from 39.3 percent in 2008 to 70.1 percent in 2012, which is well above the average of 38.0 percent from 1973 to 2012. The United States faces tough adjustment because growth is unlikely to recover, creating limits on what can be obtained by increasing revenues, while continuing stress of social programs restricts what can be obtained by reducing expenditures.

Table VI-7C, US, Treasury Budget and Debt Held by the Public, Billions of Dollars and Percent of GDP

	Receipts	Outlays	Deficit (-), Surplus (+)
$ Billions
2012	2,450	3,537	-1,087
Fiscal Year 2011	2,303	3,598	-1,296
Fiscal Year 2010	2,163	3,456	-1,294
Fiscal Year 2009	2,105	3,518	-1,413
Total 2009-2012	9,021	14,109	-5,090
Average % GDP 2009-2012	14.9	23.3	-8.4
Fiscal Year 2008	2,524	2,983	-459
Fiscal Year 2007	2,568	2,729	-161
Fiscal Year 2006	2,407	2,655	-248
Fiscal Year 2005	2,154	2,472	-318
Total 2005-2008	9,653	10,839	-1,186
Average % GDP 2005-2008	17.3	19.5	-2.1
Debt Held by the Public	Billions of Dollars	Percent of GDP
2005	4,592	35.6
2006	4,829	35.3
2007	5,035	35.1
2008	5,803	39.3
2009	7,545	52.3
2010	9,019	61.0
2011	10,128	65.8
2012	11,281	70.1

Source: http://www.fms.treas.gov/mts/index.html CBO (2012NovMBR). CBO (2011AugBEO); Office of Management and Budget 2011. Historical Tables. Budget of the US Government Fiscal Year 2011. Washington, DC: OMB; CBO. 2011JanBEO. Budget and Economic Outlook. Washington, DC, Jan. CBO. 2012AugBEO. Budget and Economic Outlook. Washington, DC, Aug 22. CBO. 2012Jan31. Historical budget data. Washington, DC, Jan 31. CBO. 2012NovCDR. Choices for deficit reduction. Washington, DC. Nov. CBO. 2013HBDFeb5. Historical budget data—February 2013 baseline projections. Washington, DC, Congressional Budget Office, Feb 5. CBO. 2013HBDFeb5. Historical budget data—February 2013 baseline projections. Washington, DC, Congressional Budget Office, Feb 5. CBO (2013Aug12). 2013AugHBD. Historical budget data—August 2013. Washington, DC, Congressional Budget Office, Aug.

Total outlays of the federal government of the United States have grown to extremely high levels. Table VI-7D of the CBO (2013Aug12) provides total outlays in 2006 and 2012. Total outlays of $3537.1 billion in 2012, or $3.5 trillion, are higher by $882 billion, or $0.9 trillion, relative to $2655.1 billion in 2006, or $2.7 trillion. Outlays have grown from 19.4 percent of GDP in 2007 to 22.0 percent of GDP in 2012. Outlays as percent of GDP were on average 20.4 percent from 1973 to 2012 and receipts as percent of GDP were on average 17.4 percent of GDP. It has proved extremely difficult to increase receipts above 19 percent of GDP. Mandatory outlays increased from $1411.8 billion in 2006 to $2031.3 billion in 2012, by $619.5 billion. The final row shows that the total of social security, Medicare, Medicaid, Income Security, net interest and defense absorbs 79.6 percent of US total outlays. There has been no meaningful constraint of spending, which is quite difficult because of the rigid structure of social programs.

Table VI-7D, US, Central Government Total Revenue and Outlays, Billions of Dollars and Percent

	2006	% Total	2012	% Total
I TOTAL REVENUE $B	2406.9	100.0	2450.2	100.0
% GDP	17.6		15.2
Individual Income Taxes $B	1043.9		1132.2
% GDP	7.6		7.0
Corporate Income Taxes $B	353.9		243.2
% GDP	2.6		1.5
Social Insurance Taxes	837.8		845.3
% GDP	6.1		5.3
II TOTAL OUTLAYS	2655.1		3537.1
% GDP	19.4		22.0
Discretionary	1016.6		1285.4
% GDP	7.4		8.0
Defense	520.0		670.5
% GDP	3.8		4.2
Nondefense	496.7		614.8
% GDP	3.6		3.8
Mandatory	1411.8		2031.3
% GDP	10.3		12.6
Social Security	543.9		767.7
% GDP	4.0		4.8
Medicare	376.8		551.2
% GDP	2.8		3.4
Medicaid	180.6		250.5
% GDP	1.3		1.6
Income Security	200.1		353.7
% GDP	1.5		2.2
Offsetting Receipts	-144.1		-210.0
% GDP	-1.1		-1.3
Net Interest	226.6		220.4
% GDP	1.7		1.4
Defense +Social Security +Medicare +Medicaid +Income Security +Net interest +Defense	2048.0	77.1*	2814.0	79.6*
% GDP	15.0		17.5

*Percent of Total Outlays

Source: CBO (2013Aug12). 2013AugHBD. Historical budget data—August 2013. Washington, DC, Congressional Budget Office, Aug.

Table VI-7E provides 40-year average ratios of fiscal variables to GDP before and after the revision by the Bureau of Economic Analysis (BEA) in Aug 2013 (http://www.bea.gov/iTable/index_nipa.cfm). The ratios are equal or slightly higher because of the addition of intellectual property to GDP estimates. There are no major changes.

Table VI-7E, US, Congressional Budget Office, 40-Year Averages of Revenues and Outlays Before and After Update of the US National Income Accounts by the Bureau of Economic Analysis, % of GDP

	Before Update	After Update
Revenues
Individual Income Taxes	8.2	7.9
Social Insurance Taxes	6.2	6.0
Corporate Income Taxes	1.9	1.9
Other	1.6	1.6
Total Revenues	17.9	17.4
Outlays
Mandatory	10.2	9.9
Discretionary	8.6	8.4
Net Interest	2.2	2.2
Total Outlays	21.0	20.4
Deficit	-3.1	-3.0
Debt Held by the Public	39.2	38.0

Source: CBO (2013Aug12Av). Kim Kowaleski and Amber Marcellino.

Table VI-7F provides the long-term budget outlook of the CBO for 2013, 2023 and 2038. Revenues increase from 17.0 percent of GDP in 2013 to 19.7 percent in 2038. The growing stock of debt raises net interest spending from 1.3 percent of GDP in 2013 to 3.1 percent in 2023 and 4.9 percent 2038. Total spending increases from 20.8 percent of GDP in 2013 to 26.2 percent in 2038. Federal debt held by the public rises to 100.0 percent of GDP in 2038. US fiscal affairs are in an unsustainable path with tough rigidities in spending and revenue.

Table VI-7F, Congressional Budget Office, Long-term Budget Outlook, % of GDP

	2013	2023	2038
Revenues	17.0	18.5	19.7
Total Noninterest Spending	19.5	18.8	21.3
Social Security	4.9	5.3	6.2
Medicare	3.0	3.3	4.9
Medicaid, CHIP and Exchange Subsidies	1.7	2.6	3.2
Other	10.0	7.6	7.1
Net Interest	1.3	3.1	4.9
Total Spending	20.8	21.8	26.2
Revenues Minus Total Noninterest Spending	-2.5	-0.3	-1.6
Revenues Minus Total Spending	-3.9	-3.3	-6.4
Federal Debt Held by the Public	73.0	71.0	100.0

Source: CBO (2013Sep17). The 2013 long-term budget outlook. Washington, DC, Congressional Budget Office, Sep 17.

Budget Office, Sep 17.

Chart VI-8 of the Board of Governors of the Federal Reserve System provides the yield of the ten-year constant maturity Treasury and the overnight fed funds rate from Jan 2, 1962 to Oct 3, 2013. The yield of the ten-year constant maturity Treasury stood at 7.67 percent on Feb 16, 1977. A peak was reached at 15.21 percent on Oct 26, 1981 during the inflation control effort by the Fed. There is a second local peak in Chart VI-8 on May 3, 1984 at 13.94 percent followed by another local peak at 8.14 percent on Nov 21, 1994 during another inflation control effort (see Appendix I The Great Inflation). There was sharp reduction of the yields from 5.44 percent on Apr 1, 2002 until they reached a low point of 3.13 percent on Jun 13, 2003. The fed funds rate was 1.18 percent on Jun 23, 2003 and the ten-year yield 3.36 percent. Yields rose again to 4.89 percent on Jun 14, 2004 with the fed funds rate at 1.02 percent and the ten-year yield stood at 5.23 percent on Jul 5, 2006. At the onset of the financial crisis on Sep 17, 2007, the fed funds rate was 5.33 percent and the ten-year yield 4.48 percent. On Dec 26, 2008, the fed funds rate was 0.09 percent and the ten-year yield 2.16 percent. Yields declined sharply during the financial crisis, reaching 2.08 percent on Dec 18, 2008, lowered by higher prices originating in sharply increasing demand in the flight to the US dollar and obligations of the US government. Yields rose again to 4.01 percent on Apr 5, 2010 but collapsed to 2.41 percent on Oct 8, 2010 because of higher demand originating in the flight from the European sovereign risk event. During higher risk appetite, yields rose to 3.75 percent on Feb 8, 2011 and collapsed to 2.62 percent on Oct 3, 2013 with the fed funds rate at 0.08 percent, which is the last data point in Chart VI-8. There has been a trend of decline of yields with oscillations. During periods of risk aversion investors seek protection in obligations of the US government, causing decline in their yields. In an eventual resolution of international financial risks with higher economic growth there could be the trauma of rising yields with significant capital losses in portfolios of government securities. The data in Table VI-7 in the text is obtained from closing dates in New York published by the Wall Street Journal (http://professional.wsj.com/mdc/public/page/marketsdata.html?mod=WSJ_PRO_hps_marketdata).

Chart VI-8, US, Overnight Federal Funds Rate and Ten-Year Treasury Constant Maturity Yield, Jan 2, 1962 to Oct 3, 2013

Note: US Recessions in Shaded Areas

Source: Board of Governors of the Federal Reserve System

http://www.federalreserve.gov/releases/h15/update/

Chart VI-9 of the Board of Governors of the Federal Reserve System provides securities held outright by Federal Reserve banks from 2002 to 2013. The first data point in Chart VI-9 is the level for Dec 18, 2002 of $629,407 million and the final data point in Chart VI-9 is level of $3,479,712 million on Sep Oct 2, 2013.

Chart VI-9, US, Securities Held Outright by Federal Reserve Banks, Wednesday Level, Dec 18, 2002 to Oct 2, 2013, USD Millions

Source: Board of Governors of the Federal Reserve System

http://www.federalreserve.gov/monetarypolicy/bst_fedsbalancesheet.htm

Chart VI-10 of the Board of Governors of the Federal Reserve System provides the overnight Fed funds rate on business days from Jul 1, 1954 at 1.13 percent through Jan 10, 1979, at 9.91 percent per year, to Oct 3, 2013, at 0.08 percent per year. US recessions are in shaded areas according to the reference dates of the NBER (http://www.nber.org/cycles.html). In the Fed effort to control the “Great Inflation” of the 1930s (see http://cmpassocregulationblog.blogspot.com/2011/05/slowing-growth-global-inflation-great.html http://cmpassocregulationblog.blogspot.com/2011/04/new-economics-of-rose-garden-turned.html http://cmpassocregulationblog.blogspot.com/2011/03/is-there-second-act-of-us-great.html and Appendix I The Great Inflation; see Taylor 1993, 1997, 1998LB, 1999, 2012FP, 2012Mar27, 2012Mar28, 2012JMCB and http://cmpassocregulationblog.blogspot.com/2012/06/rules-versus-discretionary-authorities.html), the fed funds rate increased from 8.34 percent on Jan 3, 1979 to a high in Chart VI-10 of 22.36 percent per year on Jul 22, 1981 with collateral adverse effects in the form of impaired savings and loans associations in the United States, emerging market debt and money-center banks (see Pelaez and Pelaez, Regulation of Banks and Finance (2009b), 72-7; Pelaez 1986, 1987). Another episode in Chart VI-10 is the increase in the fed funds rate from 3.15 percent on Jan 3, 1994, to 6.56 percent on Dec 21, 1994, which also had collateral effects in impairing emerging market debt in Mexico and Argentina and bank balance sheets in a world bust of fixed income markets during pursuit by central banks of non-existing inflation (Pelaez and Pelaez, International Financial Architecture (2005), 113-5). Another interesting policy impulse is the reduction of the fed funds rate from 7.03 percent on Jul 3, 2000, to 1.00 percent on Jun 22, 2004, in pursuit of equally non-existing deflation (Pelaez and Pelaez, International Financial Architecture (2005), 18-28, The Global Recession Risk (2007), 83-85), followed by increments of 25 basis points from Jun 2004 to Jun 2006, raising the fed funds rate to 5.25 percent on Jul 3, 2006 in Chart VI-10. Central bank commitment to maintain the fed funds rate at 1.00 percent induced adjustable-rate mortgages (ARMS) linked to the fed funds rate. Lowering the interest rate near the zero bound in 2003-2004 caused the illusion of permanent increases in wealth or net worth in the balance sheets of borrowers and also of lending institutions, securitized banking and every financial institution and investor in the world. The discipline of calculating risks and returns was seriously impaired. The objective of monetary policy was to encourage borrowing, consumption and investment but the exaggerated stimulus resulted in a financial crisis of major proportions as the securitization that had worked for a long period was shocked with policy-induced excessive risk, imprudent credit, high leverage and low liquidity by the incentive to finance everything overnight at interest rates close to zero, from adjustable rate mortgages (ARMS) to asset-backed commercial paper of structured investment vehicles (SIV).

The consequences of inflating liquidity and net worth of borrowers were a global hunt for yields to protect own investments and money under management from the zero interest rates and unattractive long-term yields of Treasuries and other securities. Monetary policy distorted the calculations of risks and returns by households, business and government by providing central bank cheap money. Short-term zero interest rates encourage financing of everything with short-dated funds, explaining the SIVs created off-balance sheet to issue short-term commercial paper with the objective of purchasing default-prone mortgages that were financed in overnight or short-dated sale and repurchase agreements (Pelaez and Pelaez, Financial Regulation after the Global Recession, 50-1, Regulation of Banks and Finance, 59-60, Globalization and the State Vol. I, 89-92, Globalization and the State Vol. II, 198-9, Government Intervention in Globalization, 62-3, International Financial Architecture, 144-9). ARMS were created to lower monthly mortgage payments by benefitting from lower short-dated reference rates. Financial institutions economized in liquidity that was penalized with near zero interest rates. There was no perception of risk because the monetary authority guaranteed a minimum or floor price of all assets by maintaining low interest rates forever or equivalent to writing an illusory put option on wealth. Subprime mortgages were part of the put on wealth by an illusory put on house prices. The housing subsidy of $221 billion per year created the impression of ever-increasing house prices. The suspension of auctions of 30-year Treasuries was designed to increase demand for mortgage-backed securities, lowering their yield, which was equivalent to lowering the costs of housing finance and refinancing. Fannie and Freddie purchased or guaranteed $1.6 trillion of nonprime mortgages and worked with leverage of 75:1 under Congress-provided charters and lax oversight. The combination of these policies resulted in high risks because of the put option on wealth by near zero interest rates, excessive leverage because of cheap rates, low liquidity because of the penalty in the form of low interest rates and unsound credit decisions because the put option on wealth by monetary policy created the illusion that nothing could ever go wrong, causing the credit/dollar crisis and global recession (Pelaez and Pelaez, Financial Regulation after the Global Recession, 157-66, Regulation of Banks, and Finance, 217-27, International Financial Architecture, 15-18, The Global Recession Risk, 221-5, Globalization and the State Vol. II, 197-213, Government Intervention in Globalization, 182-4). A final episode in Chart VI-10 is the reduction of the fed funds rate from 5.41 percent on Aug 9, 2007, to 2.97 percent on October 7, 2008, to 0.12 percent on Dec 5, 2008 and close to zero throughout a long period with the final point at 0.08 percent on Oct 23, 2013. Evidently, this behavior of policy would not have occurred had there been theory, measurements and forecasts to avoid these violent oscillations that are clearly detrimental to economic growth and prosperity without inflation. Current policy consists of forecast mandate of maintaining policy accommodation until the forecast of the rate of unemployment reaches 6.5 percent and the rate of personal consumption expenditures excluding food and energy reaches 2.5 percent (http://www.federalreserve.gov/newsevents/press/monetary/20121212a.htm). It is a forecast mandate because of the lags in effect of monetary policy impulses on income and prices (Romer and Romer 2004). The intention is to reduce unemployment close to the “natural rate” (Friedman 1968, Phelps 1968) of around 5 percent and inflation at or below 2.0 percent. If forecasts were reasonably accurate, there would not be policy errors. A commonly analyzed risk of zero interest rates is the occurrence of unintended inflation that could precipitate an increase in interest rates similar to the Himalayan rise of the fed funds rate from 9.91 percent on Jan 10, 1979, at the beginning in Chart VI-10, to 22.36 percent on Jul 22, 1981. There is a less commonly analyzed risk of the development of a risk premium on Treasury securities because of the unsustainable Treasury deficit/debt of the United States (http://cmpassocregulationblog.blogspot.com/2013/02/united-states-unsustainable-fiscal.html). There is not a fiscal cliff or debt limit issue ahead but rather free fall into a fiscal abyss. The combination of the fiscal abyss with zero interest rates could trigger the risk premium on Treasury debt or Himalayan hike in interest rates.

Chart VI-10, US, Fed Funds Rate, Business Days, Jul 1, 1954 to Oct 3, 2013, Percent per Year

Source: Board of Governors of the Federal Reserve System

http://www.federalreserve.gov/releases/h15/update/

Chart VI-11 of the Board of Governors of the Federal Reserve System provides the fed funds rate and the prime bank loan rate in business days from Aug 4, 1955 to Oct 3, 2013. The overnight fed funds was 2.0 percent on Aug 4, 1954 and the bank prime rate 3.25 percent. The fed funds overnight rate is the rate charged by a depository institution with idle reserves deposited at a federal reserve bank to exchange its deposits overnight to another depository institution in need of reserves. In a sense, it is the marginal cost of funding for a bank in the United States, or the cost of a unit of additional funding. The fed funds rate is the rate charged by a bank to another bank in an uncollateralized overnight loan. The fed funds rate is the traditional policy rate or rate used to implement policy directives of the Federal Open Market Committee (FOMC). Thus, there should be an association between the fed funds rate or cost of funding of a bank and its prime lending rate. Such an association is verified in Chart VI-11 with the rates moving quite closely over time. On January 10, 1979, the fed funds rate was set at 9.91 percent and banks set their prime lending rate at 11.75 percent. On Dec 16, 2008, the policy determining committee of the Fed decided (http://www.federalreserve.gov/newsevents/press/monetary/20081216b.htm): “The Federal Open Market Committee decided today to establish a target range for the federal funds rate of 0 to 1/4 percent.” The final segment of Chart VI-11 shows similar movement of the fed funds rate and the prime bank loan rate following the fixing of the fed funds rate to approximately zero. In the final data point of Chart VI-11 on Oct 3, 2013, the fed funds rate is 0.08 percent and the prime rate 3.25 percent.

Chart VI-11, US, Fed Funds Rate and Prime Bank Loan Rate, Business Days, Aug 15, 1955 to Oct 3, 2013, Percent per Year

Source: Board of Governors of the Federal Reserve System

http://www.federalreserve.gov/releases/h15/update/

Lending has become more complex over time. The critical fact of current world financial markets is the combination of “unconventional” monetary policy with intermittent shocks of financial risk aversion. There are two interrelated unconventional monetary policies. First, unconventional monetary policy consists of (1) reducing short-term policy interest rates toward the “zero bound” such as fixing the fed funds rate at 0 to ¼ percent by decision of the Federal Open Market Committee (FOMC) since Dec 16, 2008 (http://www.federalreserve.gov/newsevents/press/monetary/20081216b.htm). Second, unconventional monetary policy also includes a battery of measures to also reduce long-term interest rates of government securities and asset-backed securities such as mortgage-backed securities. When inflation is low, the central bank lowers interest rates to stimulate aggregate demand in the economy, which consists of consumption and investment. When inflation is subdued and unemployment high, monetary policy would lower interest rates to stimulate aggregate demand, reducing unemployment. When interest rates decline to zero, unconventional monetary policy would consist of policies such as large-scale purchases of long-term securities to lower their yields. A major portion of credit in the economy is financed with long-term asset-backed securities. Loans for purchasing houses, automobiles and other consumer products are bundled in securities that in turn are sold to investors. Corporations borrow funds for investment by issuing corporate bonds. Loans to small businesses are also financed by bundling them in long-term bonds. Securities markets bridge the needs of higher returns by investors obtaining funds from savers that are channeled to consumers and business for consumption and investment. Lowering the yields of these long-term bonds could lower costs of financing purchases of consumer durables and investment by business. The essential mechanism of transmission from lower interest rates to increases in aggregate demand is portfolio rebalancing. Withdrawal of bonds in a specific maturity segment or directly in a bond category such as currently mortgage-backed securities causes reductions in yield that are equivalent to increases in the prices of the bonds. There can be secondary increases in purchases of those bonds in private portfolios in pursuit of their increasing prices. Lower yields translate into lower costs of buying homes and consumer durables such as automobiles and also lower costs of investment for business.

Monetary policy can lower short-term interest rates quite effectively. Lowering long-term yields is somewhat more difficult. The critical issue is that monetary policy cannot ensure that increasing credit at low interest cost increases consumption and investment. There is a large variety of possible allocation of funds at low interest rates from consumption and investment to multiple risk financial assets. Monetary policy does not control how investors will allocate asset categories. A critical financial practice is to borrow at low short-term interest rates to invest in high-risk, leveraged financial assets. Investors may increase in their portfolios asset categories such as equities, emerging market equities, high-yield bonds, currencies, commodity futures and options and multiple other risk financial assets including structured products. If there is risk appetite, the carry trade from zero interest rates to risk financial assets will consist of short positions at short-term interest rates (or borrowing) and short dollar assets with simultaneous long positions in high-risk, leveraged financial assets such as equities, commodities and high-yield bonds. Low interest rates may induce increases in valuations of risk financial assets that may fluctuate in accordance with perceptions of risk aversion by investors and the public. During periods of muted risk aversion, carry trades from zero interest rates to exposures in risk financial assets cause temporary waves of inflation that may foster instead of preventing financial instability (and earlier http://cmpassocregulationblog.blogspot.com/2013/08/duration-dumping-and-peaking-valuations.html). During periods of risk aversion such as fears of disruption of world financial markets and the global economy resulting from collapse of the European Monetary Union, carry trades are unwound with sharp deterioration of valuations of risk financial assets. More technical discussion is in IA Appendix: Transmission of Unconventional Monetary Policy at http://cmpassocregulationblog.blogspot.com/2012/11/united-states-unsustainable-fiscal.html.

Chart VI-12 of the Board of Governors of the Federal Reserve System provides the fed funds rate, prime bank loan rate and the yield of a corporate bond rated Baa by Moody’s. On Jan 10, 1979, the fed funds rate was fixed at 9.91 percent and banks fixed the prime loan rate at 11.75 percent. Reflecting differences in risk, the fed funds rate was 8.76 percent on Jan 2, 1986, the prime rate 9.50 percent and the Baa Corporate bond yield 11.38 percent. The yield of the Baa corporate bond collapsed toward the bank prime loan rate after the end of extreme risk aversion in the beginning of 2009. The final data point in Chart VI-12 is for Oct 3, 2013, with the fed funds rate at 0.08 percent, the bank prime rate at 3.25 percent and the yield of the Baa corporate bond at 5.40 percent. Empirical tests of the transmission of unconventional monetary policy to actual increases in consumption and investment or aggregate demand find major hurdles (see IA Appendix: Transmission of Unconventional Monetary Policy at http://cmpassocregulationblog.blogspot.com/2012/11/united-states-unsustainable-fiscal.html).

Chart VI-12, US, Fed Funds Rate, Prime Bank Loan Rate and Yield of Moody’s Baa Corporate Bond, Business Days, Aug 4, 1955 to Oct 3, 2013, Percent per Year

Source: Board of Governors of the Federal Reserve System

http://www.federalreserve.gov/releases/h15/update/

Interest rate risk is increasing in the US. Chart VI-13 of the Board of Governors provides the conventional mortgage rate for a fixed-rate 30-year mortgage. The rate stood at 5.87 percent on Jan 8, 2004, increasing to 6.79 percent on Jul 6, 2006. The rate bottomed at 3.35 percent on May 2, 2013. Fear of duration risk in longer maturities such as mortgage-backed securities caused continuing increases in the conventional mortgage rate that rose to 4.51 percent on Jul 11, 2013, 4.58 percent on Aug 22, 2013 and 4.22 percent on Oct 3, 2013, which is the last data point in Chart VI-13.

Chart VI-13, US, Conventional Mortgage Rate, Jan 8, 2004 to Oct 3, 2013

Source: Board of Governors of the Federal Reserve System

http://www.federalreserve.gov/releases/h15/update/

There is a false impression of the existence of a monetary policy “science,” measurements and forecasting with which to steer the economy into “prosperity without inflation.” Market participants are remembering the Great Bond Crash of 1994 shown in Table VI-7G when monetary policy pursued nonexistent inflation, causing trillions of dollars of losses in fixed income worldwide while increasing the fed funds rate from 3 percent in Jan 1994 to 6 percent in Dec. The exercise in Table VI-7G shows a drop of the price of the 30-year bond by 18.1 percent and of the 10-year bond by 14.1 percent. CPI inflation remained almost the same and there is no valid counterfactual that inflation would have been higher without monetary policy tightening because of the long lag in effect of monetary policy on inflation (see Culbertson 1960, 1961, Friedman 1961, Batini and Nelson 2002, Romer and Romer 2004). The pursuit of nonexistent deflation during the past ten years has resulted in the largest monetary policy accommodation in history that created the 2007 financial market crash and global recession and is currently preventing smoother recovery while creating another financial crash in the future. The issue is not whether there should be a central bank and monetary policy but rather whether policy accommodation in doses from zero interest rates to trillions of dollars in the fed balance sheet endangers economic stability.

Table VI-7G, Fed Funds Rates, Thirty and Ten Year Treasury Yields and Prices, 30-Year Mortgage Rates and 12-month CPI Inflation 1994

1994	FF	30Y	30P	10Y	10P	MOR	CPI
Jan	3.00	6.29	100	5.75	100	7.06	2.52
Feb	3.25	6.49	97.37	5.97	98.36	7.15	2.51
Mar	3.50	6.91	92.19	6.48	94.69	7.68	2.51
Apr	3.75	7.27	88.10	6.97	91.32	8.32	2.36
May	4.25	7.41	86.59	7.18	88.93	8.60	2.29
Jun	4.25	7.40	86.69	7.10	90.45	8.40	2.49
Jul	4.25	7.58	84.81	7.30	89.14	8.61	2.77
Aug	4.75	7.49	85.74	7.24	89.53	8.51	2.69
Sep	4.75	7.71	83.49	7.46	88.10	8.64	2.96
Oct	4.75	7.94	81.23	7.74	86.33	8.93	2.61
Nov	5.50	8.08	79.90	7.96	84.96	9.17	2.67
Dec	6.00	7.87	81.91	7.81	85.89	9.20	2.67

Notes: FF: fed funds rate; 30Y: yield of 30-year Treasury; 30P: price of 30-year Treasury assuming coupon equal to 6.29 percent and maturity in exactly 30 years; 10Y: yield of 10-year Treasury; 10P: price of 10-year Treasury assuming coupon equal to 5.75 percent and maturity in exactly 10 years; MOR: 30-year mortgage; CPI: percent change of CPI in 12 months

Sources: yields and mortgage rates http://www.federalreserve.gov/releases/h15/data.htm CPI ftp://ftp.bls.gov/pub/special.requests/cpi/cpiai.t

VII Economic Indicators. Crude oil input in refineries decreased 0.8 percent to 15,761 thousand barrels per day on average in the four weeks ending on Sep 27, 2013 from 15,883 thousand barrels per day in the four weeks ending on Sep 20, 2013, as shown in Table VII-1. The rate of capacity utilization in refineries continues at a relatively high level of 91.1 percent on Sep 27, 2013, which is higher than 87.3 percent on Sep 28, 2012 and close to 91.7 percent on Sep 20, 2013. Imports of crude oil increased 0.3 percent from 7,889 thousand barrels per day on average in the four weeks ending on Sep 20 to 7,915thousand barrels per day in the week of Sep 27. The Energy Information Administration (EIA) informs that “US crude oil imports averaged about 8.4 million barrels per day last week, up by 438 thousand barrels per day from the previous week. Over the last four weeks, crude oil imports averaged just under 8.0 million barrels per day” (http://www.eia.gov/petroleum/supply/weekly/). Marginally decreasing utilization in refineries with increasing imports at the margin in the prior week resulted in increase of commercial crude oil stocks by 5.4 million barrels from 358.3 million barrels on Sep 20 to 363.7 million barrels on Sep 27. Motor gasoline production decreased 0.4 percent to 9,079 thousand barrels per day in the week of Sep 27 from 9,133 thousand barrels per day on average in the week of Sep 20. Gasoline stocks increased 3.5 million barrels and stocks of fuel oil decreased 1.7 million barrels. Supply of gasoline increased from 8,683 thousand barrels per day on Sep 28, 2012, to 8,752 thousand barrels per day on Sep 27 2013, or by 0.8 percent, while fuel oil supply increased 1.6 percent. Part of the prior fall in consumption of gasoline had been due to high prices and part to the growth recession. WTI crude oil price traded at $102.86/barrel on Sep 27, 2013, increasing 11.6 percent relative to $92.18/barrel on Sep 28, 2012. Gasoline prices decreased 11.6 percent from Oct 1, 2012 to Sep 30, 2013. Increases in prices of crude oil and gasoline relative to a year earlier are moderating because year earlier prices are already reflecting the commodity price surge and commodity prices have been declining recently during worldwide risk aversion. Gasoline prices had been increasing to the highest levels at this time of the year.

Table VII-1, US, Energy Information Administration Weekly Petroleum Status Report

Four Weeks Ending Thousand Barrels/Day	9/27/13	9/20/13	9/28/12
Crude Oil Refineries Input	15,761 Week ∆%: -0.8	15,883	14,677
Refinery Capacity Utilization %	91.1	91.7	87.3
Motor Gasoline Production	9,079 Week ∆%: -0.4	9,113	9,026
Distillate Fuel Oil Production	4,950 Week ∆%: -0.8	4,989	4,554
Crude Oil Imports	7,915 Week ∆%: 0.3%	7,889	8,488
Motor Gasoline Supplied	8,752 ∆% 2013/2012= 0.8%	8,893	8,683
Distillate Fuel Oil Supplied	3,747 ∆% 2013/2012 = 1.6%	3,740	3,688
	9/27/13	9/20/13	9/28/12
Crude Oil Stocks Million B	363.7 ∆= 5.4 MB	358.3	364.7
Motor Gasoline Million B	219.7 ∆= 3.5 MB	216.2	195.9
Distillate Fuel Oil Million B	129.2 ∆= -1.7 MB	130.9	124.1
WTI Crude Oil Price $/B	102.86 ∆% 2013/2012 11.6	104.70	92.18
	9/30/13	9/23/13	Oct/1/12
Regular Motor Gasoline $/G	3.425 ∆% 2013/2012 -10.0	3.495	3.804

B: barrels; G: gallon Source: US Energy Information Administration http://www.eia.gov/petroleum/supply/weekly/

Chart VII-1 of the US Energy Information Administration shows commercial stocks of crude oil of the US. There have been fluctuations around an upward trend since 2005. Crude oil stocks trended downwardly during a few weeks but with fluctuations followed by several sharp weekly increases alternating with declines.

Chart VII-1, US, Weekly Crude Oil Ending Stocks

Source: US Energy Information Administration

http://www.eia.gov/dnav/pet/hist/LeafHandler.ashx?n=PET&s=WCESTUS1&f=W

Chart VII-1 of the US Energy Information Administration shows commercial stocks of crude oil of the US. There have been fluctuations around shifting trends since 2005. Crude oil stocks trended downwardly during a few weeks but with fluctuations followed by several sharp weekly increases alternating with declines. There is upward trend in 2013 followed by declining trend.

Chart VII-2, US, Crude Oil Stocks

Source: US Energy Information Administration

http://www.eia.gov/petroleum/

Chart IV-13 of the US Energy Information Administration provides prices of the crude oil futures contract. Unconventional monetary policy of very low interest rates and quantitative easing with suspension of the 30-year bond to lower mortgage rates caused a sharp upward trend of oil prices. There is no explanation for the jump of oil prices to $149/barrel in 2008 during a sharp global recession other than carry trades from zero interest rates to commodity futures. The peak in Chart IV-13 is $145.18 on Jul 14, 2008, in the midst of deep global recession, falling to $33.87/barrel on Dec 19, 2008 (data from the US Energy Information Administration (http://www.eia.gov/dnav/pet/hist/LeafHandler.ashx?n=PET&s=RCLC1&f=D). Prices collapsed in the flight to government obligations caused by proposals for withdrawing “toxic assets” in the Troubled Asset Relief Program (TARP) as analyzed by Cochrane and Zingales (2009). Risk appetite with zero interest rates after stress tests of US banks resulted in another upward trend of commodity prices after 2009 with fluctuations during periods of risk aversion. All price indexes are affected by unconventional monetary policy.

Chart VII-3, US, Crude Oil Futures Contract

Source: US Energy Information Administration

http://www.eia.gov/dnav/pet/hist/LeafHandler.ashx?n=PET&s=RCLC1&f=D

There is typically significant difference between initial claims for unemployment insurance adjusted and not adjusted for seasonality provided in Table VII-2. Seasonally adjusted claims increased 1,000 from 307,000 on Sep 21, 2013, to 308,000 on Sep 28, 2013. Claims not adjusted for seasonality decreased 3,018 from 255,110 on Sep 21, 2013 to 252,092 on Sep 28, 2013. Strong seasonality is preventing clear analysis of labor markets.

Table VII-2, US, Initial Claims for Unemployment Insurance

	SA	NSA	4-week MA SA
Sep 28, 2013	308,000	252,092	305,000
Sep 21, 2013	307,000	255,110	308,750
Change	+1,000	-3,018	-3,750
Sep 14, 2013	311,000	272,953	315,250
Prior Year	368,000	301,054	373,750

Note: SA: seasonally adjusted; NSA: not seasonally adjusted; MA: moving average

Source: http://www.dol.gov/opa/media/press/eta/ui/current.htm#.UO83JeRZWwb

Table VII-3 provides seasonally and not seasonally adjusted claims in the comparable week for the years from 2001 to 2013. Seasonally adjusted claims typically are lower than claims not adjusted for seasonality. Claims not seasonally adjusted have declined from 449,620 on Sep 26, 2009 to 328,073 on Sep 24, 2011, 301,054 on Sep 29, 2012 and 252,092 on Sep 28, 2013. There is strong indication of significant decline in the level of layoffs in the US. Hiring has not recovered (http://cmpassocregulationblog.blogspot.com/2013/09/recovery-without-hiring-ten-million.html and earlier http://cmpassocregulationblog.blogspot.com/2013/08/recovery-without-hiring-loss-of-full.html) and there is continuing unemployment and underemployment of 28.3 million or 17.4 percent of the effective labor force (http://cmpassocregulationblog.blogspot.com/2013/09/twenty-eight-million-unemployed-or.html and earlier http://cmpassocregulationblog.blogspot.com/2013/09/twenty-eight-million-unemployed-or.html).

Table VII-3, US, Unemployment Insurance Weekly Claims

	Not Seasonally Adjusted Claims	Seasonally Adjusted Claims
Sep 29, 2001	400,400	517,000
Sep 21, 2002	319,063	409,000
Oct 4, 2003	337,800	386,000
Oct 2, 2004	279,591	335,000
Oct 1, 2005	313,847	384,000
Sep 30, 2006	249,288	309,000
Sep 29, 2007	255,431	317,000
Sep 27, 2008	392,121	483,000
Sep 26, 2009	449,620	548,000
Sep 25, 2010	372,551	452,000
Sep 24, 2011	328,073	397,000
Sep 29, 2012	301,054	368,000
Sep 28, 2013	252,092	308,000

Source: http://www.ows.doleta.gov/unemploy/claims.asp

VIII Interest Rates. It is quite difficult to measure inflationary expectations because they tend to break abruptly from past inflation. There could still be an influence of past and current inflation in the calculation of future inflation by economic agents. Table VIII-1 provides inflation of the CPI. In the three months Jun-Aug 2013, CPI inflation for all items seasonally adjusted was 3.2 percent in annual equivalent, obtained by compounding inflation from Jun 2013 to Aug 2013 and assuming it would be repeated for a full year. In the 12 months ending in Aug 2013, CPI inflation of all items not seasonally adjusted was 1.5 percent. Inflation in Aug 2013 seasonally adjusted was 0.1 percent relative to Jul 2013, or 1.2 percent annual equivalent (http://www.bls.gov/cpi/). The second row provides the same measurements for the CPI of all items excluding food and energy: 1.8 percent in 12 months and 2.0 percent in annual equivalent Jun-Aug 2013. The Wall Street Journal provides the yield curve of US Treasury securities (http://professional.wsj.com/mdc/public/page/mdc_bonds.html?mod=mdc_topnav_2_3000). The shortest term is 0.117 percent for one month, 0.025 percent for three months, 0.041 percent for six months, 0.102 percent for one year, 0.345 percent for two years, 0.636 percent for three years, 1.416 percent for five years, 2.045 percent for seven years, 2.650 percent for ten years and 3.720 percent for 30 years. The Irving Fisher (1930) definition of real interest rates is approximately the difference between nominal interest rates, which are those estimated by the Wall Street Journal, and the rate of inflation expected in the term of the security, which could behave as in Table VIII-1. Inflation in Jul is low in 12 months because of the unwinding of carry trades from zero interest rates to commodity futures prices but could ignite again with subdued risk aversion. Real interest rates in the US have been negative during substantial periods in the past decade while monetary policy pursues a policy of attaining its “dual mandate” of (http://www.federalreserve.gov/aboutthefed/mission.htm):

“Conducting the nation's monetary policy by influencing the monetary and credit conditions in the economy in pursuit of maximum employment, stable prices, and moderate long-term interest rates”

Negative real rates of interest distort calculations of risk and returns from capital budgeting by firms, through lending by financial intermediaries to decisions on savings, housing and purchases of households. Inflation on near zero interest rates misallocates resources away from their most productive uses and creates uncertainty of the future path of adjustment to higher interest rates that inhibit sound decisions.

Table VIII-1, US, Consumer Price Index Percentage Changes 12 months NSA and Annual Equivalent ∆%

	∆% 12 Months Aug 2013/Aug 2012 NSA	∆% Annual Equivalent Jun 2013 to Aug 2013 SA
CPI All Items	1.5	3.2
CPI ex Food and Energy	1.8	2.0

Source: US Bureau of Labor Statistics

http://www.bls.gov/cpi/

Professionals use a variety of techniques in measuring interest rate risk (Fabozzi, Buestow and Johnson, 2006, Chapter Nine, 183-226):

Full valuation approach in which securities and portfolios are shocked by 50, 100, 200 and 300 basis points to measure their impact on asset values
Stress tests requiring more complex analysis and translation of possible events with high impact even if with low probability of occurrence into effects on actual positions and capital
Value at Risk (VaR) analysis of maximum losses that are likely in a time horizon
Duration and convexity that are short-hand convenient measurement of changes in prices resulting from changes in yield captured by duration and convexity
Yield volatility

Analysis of these methods is in Pelaez and Pelaez (International Financial Architecture (2005), 101-162) and Pelaez and Pelaez, Globalization and the States, Vol. (I) (2008a), 78-100). Frederick R. Macaulay (1938) introduced the concept of duration in contrast with maturity for analyzing bonds. Duration is the sensitivity of bond prices to changes in yields. In economic jargon, duration is the yield elasticity of bond price to changes in yield, or the percentage change in price after a percentage change in yield, typically expressed as the change in price resulting from change of 100 basis points in yield. The mathematical formula is the negative of the yield elasticity of the bond price or –[dB/d(1+y)]((1+y)/B), where d is the derivative operator of calculus, B the bond price, y the yield and the elasticity does not have dimension (Hallerbach 2001). The duration trap of unconventional monetary policy is that duration is higher the lower the coupon and higher the lower the yield, other things being constant. Coupons and yields are historically low because of unconventional monetary policy. Duration dumping during a rate increase may trigger the same crossfire selling of high duration positions that magnified the credit crisis. Traders reduced positions because capital losses in one segment, such as mortgage-backed securities, triggered haircuts and margin increases that reduced capital available for positioning in all segments, causing fire sales in multiple segments (Brunnermeier and Pedersen 2009; see Pelaez and Pelaez, Regulation of Banks and Finance (2008b), 217-24). Financial markets are currently experiencing fear of duration resulting from the debate within and outside the Fed on tapering quantitative easing. Table VIII-2 provides the yield curve of Treasury securities on Oct 4, 2013, Sep 5, 2013, May 1, 2013, Oct 4, 2012 and Oct 4, 2006. There is ongoing steepening of the yield curve for longer maturities, which are also the ones with highest duration. The 10-year yield increased from 1.45 percent on Jul 26, 2012 to 2.98 percent on Sep 5, 2013, as measured by the United States Treasury. Assume that a bond with maturity in 10 years were issued on Sep 5, 2013 at par or price of 100 with coupon of 1.45 percent. The price of that bond would be 86.8530 with instantaneous increase of the yield to 2.98 percent for loss of 13.1 percent and far more with leverage. Losses absorb capital available for positioning, triggering crossfire sales in multiple asset classes (Brunnermeier and Pedersen 2009). Chris Dieterich, writing on “Bond investors turn to cash,” on Jul 25, 2013, published in the Wall Street Journal (http://online.wsj.com/article/SB10001424127887323971204578625900935618178.html), uses data of the Investment Company Institute (http://www.ici.org/) in showing withdrawals of $43 billion in taxable mutual funds in Jun, which is the largest in history, with flows into cash investments such as $8.5 billion in the week of Jul 17 into money-market funds.

Table VIII-2, United States, Treasury Yields

	10/4/13	9/05/13	5/01/13	10/4/12	10/4/06
1 M	0.11	0.03	0.03	0.10	4.78
3 M	0.03	0.02	0.06	0.10	4.93
6 M	0.04	0.06	0.08	0.14	5.00
1 Y	0.11	0.16	0.11	0.18	4.87
2 Y	0.33	0.52	0.20	0.23	4.60
3 Y	0.66	0.97	0.30	0.32	4.53
5 Y	1.41	1.85	0.65	0.63	4.50
7 Y	2.05	2.45	1.07	1.07	4.52
10 Y	2.66	2.98	1.66	1.70	4.57
20 Y	3.43	3.64	2.44	2.48	4.79
30 Y	3.73	3.88	2.83	2.89	4.72

Source: United States Treasury http://www.treasury.gov/resource-center/data-chart-center/Pages/index.aspx

IX Conclusion. The average rate of growth of real GDP in expansions after recessions with financial crises was 8 percent but only 6.9 percent on average for recessions without financial crises (Bordo 2012Sep27). Real GDP declined 12 percent in the Panic of 1907 and increased 13 percent in the recovery, consistent with the plucking model of Friedman (Bordo 2012Sep27). Bordo (2012Sep27) finds two probable explanations for the weak recovery during the current economic cycle: (1) collapse of United States housing; and (2) uncertainty originating in fiscal policy, regulation and structural changes. There are serious doubts if monetary policy is adequate to recover the economy under these conditions.

Lucas (2011May) estimates US economic growth in the long-term at 3 percent per year and about 2 percent per year in per capita terms. There are displacements from this trend caused by events such as wars and recessions but the economy then returns to trend. Historical US GDP data exhibit remarkable growth: Lucas (2011May) estimates an increase of US real income per person by a factor of 12 in the period from 1870 to 2010. The explanation by Lucas (2011May) of this remarkable growth experience is that government provided stability and education while elements of “free-market capitalism” were an important driver of long-term growth and prosperity. Lucas sharpens this analysis by comparison with the long-term growth experience of G7 countries (US, UK, France, Germany, Canada, Italy and Japan) and Spain from 1870 to 2010. Countries benefitted from “common civilization” and “technology” to “catch up” with the early growth leaders of the US and UK, eventually growing at a faster rate. Significant part of this catch up occurred after World War II. Lucas (2011May) finds that the catch up stalled in the 1970s. The analysis of Lucas (2011May) is that the 20-40 percent gap that developed originated in differences in relative taxation and regulation that discouraged savings and work incentives in comparison with the US. A larger welfare and regulatory state, according to Lucas (2011May), could be the cause of the 20-40 percent gap. Cobet and Wilson (2002) provide estimates of output per hour and unit labor costs in national currency and US dollars for the US, Japan and Germany from 1950 to 2000 (see Pelaez and Pelaez, The Global Recession Risk (2007), 137-44). The average yearly rate of productivity change from 1950 to 2000 was 2.9 percent in the US, 6.3 percent for Japan and 4.7 percent for Germany while unit labor costs in USD increased at 2.6 percent in the US, 4.7 percent in Japan and 4.3 percent in Germany. From 1995 to 2000, output per hour increased at the average yearly rate of 4.6 percent in the US, 3.9 percent in Japan and 2.6 percent in Germany while unit labor costs in USD fell at minus 0.7 percent in the US, 4.3 percent in Japan and 7.5 percent in Germany. There was increase in productivity growth in Japan and France within the G7 in the second half of the 1990s but significantly lower than the acceleration of 1.3 percentage points per year in the US. The key indicator of growth of real income per capita or what is earned per person after inflation, measures long-term economic growth and prosperity. A refined concept would include real disposable income per capita, which is what a person earns after inflation and taxes.

Table IX-1 provides the data required for broader comparison of long-term and cyclical performance of the United States economy. Revisions and enhancements of United States GDP and personal income accounts by the Bureau of Economic Analysis (BEA) (http://bea.gov/iTable/index_nipa.cfm http://bea.gov/newsreleases/national/gdp/2013/pdf/gdp2q13_adv.pdf http://www.bea.gov/newsreleases/national/gdp/2013/pdf/gdp2q13_2nd.pdf http://www.bea.gov/newsreleases/national/gdp/2013/pdf/gdp2q13_3rd.pdf http://www.bea.gov/newsreleases/national/pi/2013/pdf/pi0713.pdf http://www.bea.gov/newsreleases/national/pi/2013/pdf/pi0813.pdf http://bea.gov/newsreleases/national/pi/2013/pdf/pi0613.pdf) provide important information on long-term growth and cyclical behavior. First, Long-term performance. Using annual data, US GDP grew at the average rate of 3.3 percent per year from 1929 to 2012 and at 3.2 percent per year from 1947 to 2012. Real disposable income grew at the average yearly rate of 3.2 percent from 1929 to 2013 and at 3.7 percent from 1947 to 1999. Real disposable income per capita grew at the average yearly rate of 2.0 percent from 1929 to 2012 and at 2.3 percent from 1947 to 1999. US economic growth was much faster during expansions, compensating for the contraction in maintaining trend growth for whole cycles. Using annual data, US real disposable income grew at the average yearly rate of 3.5 percent from 1980 to 1980 and real disposable income per capita at 2.6 percent. The US economy has lost its dynamism in the current cycle: real disposable income grew at the yearly average rate of 1.4 percent from 2006 to 2012 and real disposable income per capita at 0.6 percent. Second, first four quarters of expansion. Growth in the first four quarters of expansion is critical in recovering loss of output and employment occurring during the contraction. In the first four quarters of expansion from IQ1983 to IVQ1983: GDP increased 7.8 percent, real disposable personal income 5.3 percent and real disposable income per capita 4.4 percent. In the first four quarters of expansion from IIIQ2009 to IIQ2010: GDP increased 2.7 percent, real disposable personal income 1.4 percent and real disposable income per capita 0.8 percent. Third, first 16 quarters of expansion. In the expansion from IQ1983 to IIIQ1986: GDP grew 22.3 percent at the annual equivalent rate of 5.2 percent; real disposable income grew 17.3 percent at the annual equivalent rate of 4.1 percent; and real disposable income per capita grew 13.7 percent at the annual equivalent rate of 3.3 percent. In the expansion from IIIQ2009 to IIQ2013: GDP grew 9.0 percent at the annual equivalent rate of 2.2 percent; real disposable income grew 6.4 percent at the annual equivalent rate of 1.6 percent; and real disposable personal income per capita grew 3.5 percent at the annual equivalent rate of 0.9 percent. Fourth, entire quarterly cycle. In the entire cycle combining contraction and expansion from IQ1980 to IIIQ1986: GDP grew 21.1 percent at the annual equivalent rate of 2.8 percent; real disposable personal income 24.7 percent at the annual equivalent rate of 3.2 percent; and real disposable personal income per capita 17.4 percent at the annual equivalent rate of 2.3 percent. In the entire cycle combining contraction and expansion from IVQ2007 to IIQ2013: GDP grew 4.4 percent at the annual equivalent rate of 0.7 percent; real disposable personal income 6.9 percent at the annual equivalent rate of 1.2 percent; and real disposable personal income per capita 2.4 percent at the annual equivalent rate of 0.4 percent. The United States grew during its history at high rates of per capita income that made its economy the largest in the world. That dynamism is disappearing. Bordo (2012 Sep27) and Bordo and Haubrich (2012DR) provide strong evidence that recoveries have been faster after deeper recessions and recessions with financial crises, casting serious doubts on the conventional explanation of weak growth during the current expansion allegedly because of the depth of the contraction of 4.3 percent from IVQ2007 to IIQ2009 and the financial crisis.

Table IX-1, US, GDP, Real Disposable Personal Income, Real Disposable Income per Capita and Population in 1983-85 and 2007-2013, %

Long-term GDP	Average ∆% per Year
1929-2012	3.3
1947-2012	3.2
Long-term Average ∆% per Year	Real Disposable Income	Real Disposable Income per Capita
1929-2012	3.2	2.0
1947-1999	3.7	2.3
Whole Cycles Average ∆% per Year
1980-1989	3.5	2.6
2006-2012	1.4	0.6
Comparison of Cycles	# Quarters	∆%	∆% Annual Equivalent
IQ1983 to IVQ1986 IQ1983 to IIIQ1986	4 16
GDP IQ1983 to IVQ1983 IQ1983 to IIIQ1986	4 16	7.8 22.3	7.8 5.2
RDPI IQ1983 to IVQ1983 IQ1983 to IIIQ1986	4 16	5.3 17.3	5.3 4.1
RDPI Per Capita IQ1983 to IVQ1983 IQ1983 to IIIQ1986	4 16	4.4 13.7	4.4 3.3
Whole Cycle IQ1980 to IIIQ1986
GDP	28	21.1	2.8
RDPI	28	24.7	3.2
RDPI per Capita	28	17.4	2.3
Population	28	6.3	0.9
GDP First Four Quarters IIIQ2009 to IIQ2010 IIIQ2009 to IIQ2013	4 16	2.7 9.0	2.7 2.2
RDPI IIIQ2009 to IIQ2010 IIIQ2009 to IIQ2013	4 16	1.4 6.4	1.4 1.6
RDPI per Capita IIIQ2009 to IIQ2010 IIIQ2009 to IIQ2013	4 16	0.8 3.5	0.8 0.9
Population IIIQ2009 to IIQ2010 IIIQ2009 to IIQ2013	4 16	0.6 2.8	0.6 0.7
IVQ2007 to IIQ2013	23
GDP	23	4.4	0.7
RDPI	23	6.9	1.2
RDPI per Capita	23	2.4	0.4
Population	23	4.4	0.8

RDPI: Real Disposable Personal Income

Source: US Bureau of Economic Analysis http://www.bea.gov/iTable/index_nipa.cfm

There are seven basic facts illustrating the current economic disaster of the United States:

GDP maintained trend growth in the entire business cycle from IQ1980 to IVQ1985 and IIIQ1986, including contractions and expansions. GDP is well below trend in the entire business cycle from IVQ2007, including contractions and expansions
Per capita real disposable income exceeded trend growth in the 1980s but is substantially below trend in IIQ2013
Level of employed persons increased in the 1980s but declined into IIQ2013
Level of full-time employed persons increased in the 1980s but declined into IIQ2013
Level unemployed, unemployment rate and employed part-time for economic reasons fell in the recovery from the recessions in the 1980s but not substantially in the recovery since IIIQ2009
Wealth of households and nonprofit organizations soared in the 1980s but declined in real terms into IQ2013
Gross private domestic investment increased sharply from IQ1980 to IVQ1985 and IIIQ1986 but gross private domestic investment and private fixed investment fell from IVQ2007 into IIQ2013

There is a critical issue of the United States economy will be able in the future to attain again the level of activity and prosperity of projected trend growth. Growth at trend during the entire business cycles built the largest economy in the world but there may be an adverse, permanent weakness in United States economic performance and prosperity. Table IX-2 provides data for analysis of these seven basic facts. The seven blocks of Table IX-2 are separated initially after individual discussion of each one followed by the full Table IX-2.

1. Trend Growth.

i. As shown in Table IX-2, actual GDP grew cumulatively 21.1 percent from IQ1980 to IIIQ1986, which is relatively close to what trend growth would have been at 22.9 percent. Rapid growth at the average annual rate of 5.7 percent annual per quarter during the expansion from IQ1983 to IQ1986 erased the loss of GDP of 4.6 percent during the contraction and maintained trend growth at 2.8 percent for GDP and 3.0 percent for real disposable personal income over the entire cycle.

ii. In contrast, cumulative growth from IVQ2007 to IIQ2013 was 4.6 percent while trend growth would have been 18.5 percent. GDP in IIQ2013 at seasonally adjusted annual rate is $15,679.7 billion as estimated by the Bureau of Economic Analysis (BEA) (http://www.bea.gov/iTable/index_nipa.cfm) and would have been $17,770.4 billion, or $2090.7 billion higher, had the economy grown at trend over the entire business cycle as it happened during the 1980s and throughout most of US history. There is $2.1 trillion of foregone GDP that the economy would have created as it occurred during past cyclical expansions, which explains why employment net of population growth has not rebounded to even higher than before. There would not be recovery of full employment even with growth of 3 percent per year beginning immediately because the opportunity was lost to grow faster during the expansion from IIIQ2009 to IIQ2013 after the recession from IVQ2007 to IIQ2009. The United States has acquired a heavy social burden of unemployment and underemployment of 28.3 million people or 17.4 percent of the effective labor force (http://cmpassocregulationblog.blogspot.com/2013/09/twenty-eight-million-unemployed-or.html) that will not be significantly diminished even with return to growth of GDP of 3 percent per year because of growth of the labor force by new entrants. The US labor force grew from 142.583 million in 2000 to 153.124 million in 2007 or by 7.4 percent at the average yearly rate of 1.0 percent per year. The civilian noninstitutional population increased from 212.577 million in 2000 to 231.867 million in 2007 or 9.1 percent at the average yearly rate of 1.3 percent per year (data from http://www.bls.gov/data/). Data for the past five years cloud accuracy because of the number of people discouraged from seeking employment. The noninstitutional population of the United States increased from 231.867 million in 2007 to 243.284 million in 2012 or by 4.9 percent. In the same period, the labor force increased from 153.124 million in 2007 to 154.975 million in 2012 or by 1.2 percent and only by 0.3 percent to 153.617 million in 2011 while population increased 3.3 percent from 231.867 million in 2007 to 239.618 million in 2011 (data from http://www.bls.gov/data/). People ceased to seek jobs because they do not believe that there is a job available for them (http://cmpassocregulationblog.blogspot.com/2013/09/twenty-eight-million-unemployed-or.html). Structural change in demography occurs over relatively long periods and not suddenly as shown by Edward P. Lazear and James R. Spletzer (2012JHJul22).

Period IQ1980 to IIIQ1986
GDP SAAR USD Billions
IQ1980	6,517.9
IIIQ1986	7,890.1
∆% IQ1980 to IIIQ1986 (21.4 percent from IVQ1979 $6496.8 billion)	21.1
∆% Trend Growth IQ1980 to IIIQ1986	22.9

Period IVQ2007 to IQ2013
GDP SAAR USD Billions
IVQ2007	14,996.1
IIQ2013	15,679.7
∆% IVQ2007 to IIQ2013 Actual	4.6
∆% IVQ2007 to IIQ2013 Trend	18.5

2. Stagnating Per Capita Real Disposable Income

i. In the entire business cycle from IQ1980 to IIIQ1986, as shown in Table IX-2, trend growth of per capita real disposable income, or what is left per person after inflation and taxes, grew cumulatively 16.4 percent, which is close to what would have been trend growth of 14.9 percent.

ii. In contrast, in the entire business cycle from IVQ2007 to IIQ2013, per capita real disposable income increased 2.4 percent while trend growth would have been 12.1 percent. Income available after inflation and taxes is about the same or lower as before the contraction after 16 consecutive quarters of GDP growth at mediocre rates relative to those prevailing during historical cyclical expansions. In IIQ2013, personal income grew at the SAAR of 4.1 percent after falling at 4.1 percent in IQ2013. In IIQ2013, real personal income excluding current transfer receipts grew at 4.9 percent after falling at 7.2 percent in IQ2013. In IIQ2013, real disposable personal income grew at 3.5 percent after falling at minus 7.9 percent in IQ2013 percent (Table 6 at http://www.bea.gov/newsreleases/national/pi/2013/pdf/pi0813.pdf). The BEA explains as follows (page 3 at http://www.bea.gov/newsreleases/national/pi/2013/pdf/pi0313.pdf):

“The February and January changes in disposable personal income (DPI) mainly reflected the effect of special factors in January, such as the expiration of the “payroll tax holiday” and the acceleration of bonuses and personal dividends to November and to December in anticipation of changes in individual tax rates.”

Period IQ1980 to IIIQ1986

Real Disposable Personal Income per Capita IQ1980 Chained 2009 USD	20,413
Real Disposable Personal Income per Capita IQ1II986 Chained 2005 USD	23,756
∆% IQ1980 to IIIQ1986	16.4
∆% Trend Growth	14.9

Period IVQ2007 to IQ2013

Real Disposable Personal Income per Capita IVQ2007 Chained 2009 USD	35,823
Real Disposable Personal Income per Capita IIQ2013 Chained 2009 USD	36,692
∆% IVQ2007 to IIQ2013	2.4
∆% Trend Growth	12.1

3. Number of Employed Persons

i. As shown in Table IX-2, the number of employed persons increased over the entire business cycle from 98.527 million not seasonally adjusted (NSA) in IQ1980 to 110.229 million NSA in IIIQ1986 or by 11.9 percent.

ii. In contrast, during the entire business cycle the number employed fell from 146.334 million in IVQ2007 to 144,841 million in IIQ2013 or by 1.0 percent. There are 28.3 million persons unemployed or underemployed, which is 17.4 percent of the effective labor force (http://cmpassocregulationblog.blogspot.com/2013/09/twenty-eight-million-unemployed-or.html).

Period IQ1980 to IIIQ1986

Employed Millions IQ1980 NSA End of Quarter	98.527
Employed Millions IIIQ1986 NSA End of Quarter	110.229
∆% Employed IQ1980 to IIIQ1986	11.9

Period IVQ2007 to IQ2013

Employed Millions IVQ2007 NSA End of Quarter	146.334
Employed Millions IIQ2013 NSA End of Quarter	144.841
∆% Employed IVQ2007 to IIQ2013	-1.0

4. Number of Full-Time Employed Persons

i. As shown in Table IX-2, during the entire business cycle in the 1980s, including contractions and expansion, the number of employed full-time rose from 81.280 million NSA in IQ1980 to 91.579 million NSA in IIIQ1986 or 12.7 percent.

ii. In contrast, during the entire current business cycle, including contraction and expansion, the number of persons employed full-time fell from 121.042 million in IVQ2007 to 117.400 million in IIQ2013 or by minus 3.0 percent.

4. Number of Full-time Employed Persons

Period IQ1980 to IIIQ1986

Employed Full-time Millions IQ1980 NSA End of Quarter	81.280
Employed Full-time Millions IIIQ1986 NSA End of Quarter	91.579
∆% Full-time Employed IQ1980 to IIIQ1986	12.7

Period IVQ2007 to IQ2013

Employed Full-time Millions IVQ2007 NSA End of Quarter	121.042
Employed Full-time Millions IIQ2013 NSA End of Quarter	117.400
∆% Full-time Employed IVQ2007 to IIQ2013	-3.0

5. Unemployed, Unemployment Rate and Employed Part-time for Economic Reasons.

i. As shown in Table IX-2 and in the following block, in the cycle from IQ1980 to IIIQ1986: (a) The rate of unemployment was virtually the same at 6.8 percent in IIIQ1986 relative to 6.6 percent in IQ1980. (b) The number unemployed increased from 6.983 million in IQ1980 to 8.015 million in IIIQ1986 or 14.8 percent. (c) The number employed part-time for economic reasons increased 44.7 percent from 3.624 million in IQ1980 to 5.245 million in IIIQ1986.

ii. In contrast, in the economic cycle from IVQ2007 to IIQ2013: (a) The rate of unemployment increased from 4.8 percent in IVQ2007 to 7.8 percent in IIQ2013. (b) The number unemployed increased 66.2 percent from 7.371 million in IVQ2007 to 12.248 million in IIQ2013. (c) The number employed part-time for economic reasons because they could not find any other job increased 77.7 percent from 4.750 million in IVQ2007 to 8.440 million in IQ2013. (d) U6 Total Unemployed plus all marginally attached workers plus total employed part time for economic reasons as percent of all civilian labor force plus all marginally attached workers NSA increased from 8.7 percent in IVQ2007 to 14.6 percent in IIQ2013.

Period IQ1980 to IIIQ1986

Unemployment Rate IQ1980 NSA End of Quarter	6.6
Unemployment Rate IIIQ1986 NSA End of Quarter	6.8
Unemployed IQ1980 Millions End of Quarter	6.983
Unemployed IIIQ1986 Millions End of Quarter	8.015
Employed Part-time Economic Reasons Millions IQ1980 End of Quarter	3.624
Employed Part-time Economic Reasons Millions IIIQ1986 End of Quarter	5.245
∆%	44.7

Period IVQ2007 to IQ2013

Unemployment Rate IVQ2007 NSA End of Quarter	4.8
Unemployment Rate IIQ2013 NSA End of Quarter	7.8
Unemployed IVQ2007 Millions End of Quarter	7.371
Unemployed IIQ2013 Millions End of Quarter	12.248
∆%	66.2
Employed Part-time Economic Reasons IVQ2007 Millions End of Quarter	4.750
Employed Part-time Economic Reasons Millions IIQ2013 End of Quarter	8.440
∆%	77.7
U6 Total Unemployed plus all marginally attached workers plus total employed part time for economic reasons as percent of all civilian labor force plus all marginally attached workers NSA
IVQ2007	8.7
IIQ2013	14.6

6. Wealth of Households and Nonprofit Organizations.

The comparison of net worth of households and nonprofit organizations in the entire economic cycle from IQ1980 (and from IVQ1979) to IVQ1985 and from IVQ2007 to IQ2012 is provided in Table IX-2 and in the following block. i. The data reveal the following facts for the cycles in the 1980s:

IVQ1979 to IVQ1985. Net worth increased 68.2 percent from IVQ1979 to IVQ1985, the all items CPI index increased 42.5 percent from 76.7 in Dec 1979 to 109.3 in Dec 1985 and real net worth increased 18.0 percent.
IQ1980 to IVQ1985. Net worth increased 64.6 percent, the all items CPI index increased 36.5 percent from 80.1 in Mar 1980 to 109.3 in Dec 1985 and real net worth increased 20.6 percent.
IVQ1979 to IIIQ1986. Net worth increased 79.4 percent, the all items CPI index increased 43.7 percent from 76.7 in Dec 1979 to 110.2 in Sep 1986 and real net worth increased 24.9 percent.
IQ1980 to IIIQ1986. Net worth increased 75.5 percent, the all items CPI index increased 37.6 percent from 80.1 in Mar 1980 to 110.2 in Sep 1986 and real net worth increased 27.6 percent.

ii. There is disastrous performance in the current economic cycle:

IVQ2007 to IIQ2013. Net worth increased 10.2 percent, the all items CPI increased 11.2 percent from 210.036 in Dec 2007 to 233.504 in Jun 2013 and real or inflation adjusted net worth fell 0.9 percent.

The explanation is partly in the sharp decline of wealth of households and nonprofit organizations and partly in the mediocre growth rates of the cyclical expansion beginning in IIIQ2009. US economic growth has been at only 2.2 percent on average in the cyclical expansion in the 16 quarters from IIIQ2009 to IIQ2013. Boskin (2010Sep) measures that the US economy grew at 6.2 percent in the first four quarters and 4.5 percent in the first 12 quarters after the trough in the second quarter of 1975; and at 7.7 percent in the first four quarters and 5.8 percent in the first 12 quarters after the trough in the first quarter of 1983 (Professor Michael J. Boskin, Summer of Discontent, Wall Street Journal, Sep 2, 2010 http://professional.wsj.com/article/SB10001424052748703882304575465462926649950.html). There are new calculations using the revision of US GDP and personal income data since 1929 by the Bureau of Economic Analysis (BEA) (http://bea.gov/iTable/index_nipa.cfm http://bea.gov/newsreleases/national/gdp/2013/pdf/gdp2q13_adv.pdf http://bea.gov/newsreleases/national/pi/2013/pdf/pi0613.pdf) and the second estimate of GDP for IIQ2013 (http://www.bea.gov/newsreleases/national/gdp/2013/pdf/gdp2q13_3rd.pdf). The average of 7.7 percent in the first four quarters of major cyclical expansions is in contrast with the rate of growth in the first four quarters of the expansion from IIIQ2009 to IIQ2010 of only 2.7 percent obtained by diving GDP of $14,738.0 billion in IIQ2010 by GDP of $14,356.9 billion in IIQ2009 {[$14,738.0/$14,356.9 -1]100 = 2.7%], or accumulating the quarter on quarter growth rates (http://cmpassocregulationblog.blogspot.com/2013/09/mediocre-and-decelerating-united-states.html and earlier http://cmpassocregulationblog.blogspot.com/2013/09/increasing-interest-rate-risk.html). The expansion from IQ1983 to IVQ1985 was at the average annual growth rate of 5.7 percent and at 7.8 percent from IQ1983 to IVQ1983 (http://cmpassocregulationblog.blogspot.com/2013/09/mediocre-and-decelerating-united-states.html and earlier http://cmpassocregulationblog.blogspot.com/2013/09/increasing-interest-rate-risk.html). As a result, there are 28.3 million unemployed or underemployed in the United States for an effective unemployment rate of 17.4 percent (http://cmpassocregulationblog.blogspot.com/2013/09/twenty-eight-million-unemployed-or.html).

Period IQ1980 to IVQ1985
Net Worth of Households and Nonprofit Organizations USD Millions
IVQ1979 IQ1980	9,021.4 9,220.7
IVQ1985 III1986	15,174.7 16,182.9
∆ USD Billions IVQ1985 IIIQ1986 IQ1980-IVQ1985 IQ1980-IIIQ1986	+6,153.3 ∆%68.2 R∆%18.0 +7,161.5 ∆%79.4 R∆%24.9 +5,954.0 ∆%64.6 R∆%20.6 +6,962.2 ∆%75.5 R∆%27.6
Period IVQ2007 to IQ2013
Net Worth of Households and Nonprofit Organizations USD Millions
IVQ2007	67,918.6
IIQ2013	74,820.9
∆ USD Billions	6,902.3 ∆%10.2 R∆%-0.9

Net Worth = Assets – Liabilities. : R∆% real percentage change or adjusted for CPI percentage change.

Source: Board of Governors of the Federal Reserve System. 2013. Flow of funds, balance sheets and integrated macroeconomic accounts: second quarter 2013. Washington, DC, Federal Reserve System, Sep 25.

http://www.federalreserve.gov/releases/Z1/Current/

7. Gross Private Domestic Investment.

i. The comparison of gross private domestic investment in the entire economic cycles from IQ1980 to IIIIQ1986 and from IVQ2007 to IIQ2013 is in the following block and in Table IX-2. Gross private domestic investment increased from $951.6 billion in IQ1980 to $1,139.5 billion in IIIQ1986 or by 19.7 percent.

ii In the current cycle, gross private domestic investment decreased from $2,605.2 billion in IVQ2007 to $2,524.9 billion in IIQ2013, or decline by 3.1 percent. Private fixed investment fell from $2,586.3 billion in IVQ2007 to $2,458.4 billion in IIQ2013, or decline by 4.9 percent.

Period IQ1980 to IIIQ1986
Gross Private Domestic Investment USD 2005 Billions
IQ1980	951.6
IIIQ1986	1,139.5
∆%	19.7
Period IVQ2007 to IIQ2013
Gross Private Domestic Investment USD Billions
IVQ2007	2,605.2
IIQ2013	2,524.9
∆%	-3.1
Private Fixed Investment USD 2009 Billions
IVQ2007	2,586.3
IIQ2013	2,458.4
∆%	-4.9

Table IX-2, US, GDP and Real Disposable Personal Income per Capita Actual and Trend Growth and Employment, 1980-1985 and 2007-2012, SAAR USD Billions, Millions of Persons and ∆%


Period IQ1980 to IIIQ1986
GDP SAAR USD Billions
IQ1980	6,517.9
IIIQ1986	7,890.1
∆% IQ1980 to IIIQ1986 (21.4 percent from IVQ1982 $6496.8 billion)	21.1
∆% Trend Growth IQ1980 to IIIQ1986	22.9
Real Disposable Personal Income per Capita IQ1980 Chained 2009 USD	20,413
Real Disposable Personal Income per Capita IIIQ1986 Chained 2009 USD	23,756
∆% IQ1980 to IIIQ1986	16.4
∆% Trend Growth	14.9
Employed Millions IQ1980 NSA End of Quarter	98.527
Employed Millions III1986 NSA End of Quarter	110.229
∆% Employed IQ1980 to IIIQ1986	11.9
Employed Full-time Millions IQ1980 NSA End of Quarter	81.280
Employed Full-time Millions IIIQ1986 NSA End of Quarter	91.579
∆% Full-time Employed IQ1980 to IIIQ1986	12.7
Unemployment Rate IQ1980 NSA End of Quarter	6.6
Unemployment Rate IIIQ1986 NSA End of Quarter	6.8
Unemployed IQ1980 Millions NSA End of Quarter	6.983
Unemployed IIIQ1986 Millions NSA End of Quarter	8.015
∆%	14.8
Employed Part-time Economic Reasons IQ1980 Millions NSA End of Quarter	3.624
Employed Part-time Economic Reasons Millions IIIQ1986 NSA End of Quarter	5.245
∆%	44.7
Net Worth of Households and Nonprofit Organizations USD Billions
IVQ1979	9,021.4
IIIQ1986	16,182.9
∆ USD Billions	+7,161.5
Gross Private Domestic Investment USD 2009 Billions
IQ1980	951.6
IIIQ1986	1139.5
∆%	19.7
Period IVQ2007 to IIQ2013
GDP SAAR USD Billions
IVQ2007	14,996.1
IIQ2013	15,679.7
∆% IVQ2007 to IIQ2013	4.6
∆% IVQ2007 to IIQ2013 Trend Growth	18.5
Real Disposable Personal Income per Capita IVQ2007 Chained 2009 USD	35,823
Real Disposable Personal Income per Capita IIQ2013 Chained 2009 USD	36,692
∆% IVQ2007 to IIQ2013	2.4
∆% Trend Growth	12.1
Employed Millions IVQ2007 NSA End of Quarter	146.334
Employed Millions IIQ2013 NSA End of Quarter	144.841
∆% Employed IVQ2007 to IIQ2013	-1.0
Employed Full-time Millions IVQ2007 NSA End of Quarter	121.042
Employed Full-time Millions IIQ2013 NSA End of Quarter	117.400
∆% Full-time Employed IVQ2007 to IIQ2013	-3.0
Unemployment Rate IVQ2007 NSA End of Quarter	4.8
Unemployment Rate IIQ2013 NSA End of Quarter	7.8
Unemployed IVQ2007 Millions NSA End of Quarter	7.371
Unemployed IIQ2013 Millions NSA End of Quarter	12.248
∆%	66.2
Employed Part-time Economic Reasons IVQ2007 Millions NSA End of Quarter	4.750
Employed Part-time Economic Reasons Millions IIQ2013 NSA End of Quarter	8.440
∆%	77.7
U6 Total Unemployed plus all marginally attached workers plus total employed part time for economic reasons as percent of all civilian labor force plus all marginally attached workers NSA
IVQ2007	8.7
IIQ2013	14.6
Net Worth of Households and Nonprofit Organizations USD Billions
IVQ2007	67,918.6
IQ2013	74,820.9
∆ USD Billions	6,902.3
Gross Private Domestic Investment USD Billions
IVQ2007	2,605.2
IIQ2013	2,524.9
∆%	-3.1
Private Fixed Investment USD 2005 Billions
IVQ2007	2,586.3
IIQ2013	2,458.4
∆%	-4.9

Note: GDP trend growth used is 3.0 percent per year and GDP per capita is 2.0 percent per year as estimated by Lucas (2011May) on data from 1870 to 2010.

Source: US Bureau of Economic Analysis http://www.bea.gov/iTable/index_nipa.cfm US Bureau of Labor Statistics http://www.bls.gov/data/. Board of Governors of the Federal Reserve System. 2013Jun6. Flow of funds, balance sheets and integrated macroeconomic accounts. Washington, DC, Federal Reserve System, Jun 6.

The Congressional Budget Office (CBO 2013BEOFeb5) estimates potential GDP, potential labor force and potential labor productivity provided in Table IX-3. The CBO estimates average rate of growth of potential GDP from 1950 to 2012 at 3.3 percent per year. The projected path is significantly lower at 2.2 percent per year from 2012 to 2023. The legacy of the economic cycle expansion from IIIQ2009 to IIQ2013 at 2.2 percent on average is in contrast with 5.2 percent on average in the expansion from IQ1983 to IIIQ1986 (http://cmpassocregulationblog.blogspot.com/2013/09/mediocre-and-decelerating-united-states.html). Subpar economic growth may perpetuate unemployment and underemployment estimated at 28.3 million or 17.4 percent of the effective labor force in Aug 2013 (http://cmpassocregulationblog.blogspot.com/2013/09/twenty-eight-million-unemployed-or.html) with much lower hiring than in the period before the current cycle (http://cmpassocregulationblog.blogspot.com/2013/09/recovery-without-hiring-ten-million.html).

Table IX-3, US, Congressional Budget Office History and Projections of Potential GDP of US Overall Economy, ∆%

	Potential GDP	Potential Labor Force	Potential Labor Productivity*
Average Annual ∆%
1950-1973	3.9	1.6	2.3
1974-1981	3.3	2.5	0.8
1982-1990	3.1	1.6	1.5
1991-2001	3.1	1.3	1.8
2002-2012	2.2	0.8	1.4
Total 1950-2012	3.3	1.5	1.7
Projected Average Annual ∆%
2013-2018	2.2	0.6	1.6
2019-2023	2.3	0.5	1.8
2012-2023	2.2	0.5	1.7

*Ratio of potential GDP to potential labor force

Source: CBO (2013BEOFeb5).

Chart IX-1 of the Congressional Budget Office (CBO 2013BEOFeb5) provides actual and potential GDP of the United States from 2000 to 2011 and projected to 2024. Lucas (2011May) estimates trend of United States real GDP of 3.0 percent from 1870 to 2010 and 2.2 percent for per capita GDP. The United States successfully returned to trend growth of GDP by higher rates of growth during cyclical expansion as analyzed by Bordo (2012Sep27, 2012Oct21) and Bordo and Haubrich (2012DR). Growth in expansions following deeper contractions and financial crises was much higher in agreement with the plucking model of Friedman (1964, 1988). The unusual weakness of growth at 2.2 percent on average from IIIQ2009 to IIQ2013 during the current economic expansion in contrast with 5.7 percent on average in the cyclical expansion from IQ1983 to IQ1986 (http://cmpassocregulationblog.blogspot.com/2013/09/mediocre-and-decelerating-united-states.html) cannot be explained by the contraction of 4.3 percent of GDP from IVQ2007 to IIQ2009 and the financial crisis. Weakness of growth in the expansion is perpetuating unemployment and underemployment of 28.3 million or 17.4 percent of the labor force as estimated for Jul 2013 (http://cmpassocregulationblog.blogspot.com/2013/09/twenty-eight-million-unemployed-or.html). There is no exist from unemployment/underemployment and stagnating real wages because of the collapse of hiring (http://cmpassocregulationblog.blogspot.com/2013/09/recovery-without-hiring-ten-million.html).

Chart IB-1, US, Congressional Budget Office, Actual and Projections of Potential GDP, 2000-2024, Trillions of Dollars

Source: Congressional Budget Office, CBO (2013BEOFeb5).

References

Abraham, Katharine G., John C. Haltiwanger, Kristin Sandusky and James Spletzer. 2009. Exploring differences in employment between household and establishment data. Cambridge, MA, National Bureau of Economic Research, Mar 2009.

Allen, William R. 1993. Irving Fisher and the 100 percent reserve proposal. Journal of Law and Economics 36 (2, Oct): 703-17.

Andrés, Javier, J. David López-Salido and Edward Nelson. 2004. Tobin’s imperfect asset substitution in optimizing equilibrium. Journal of Money, Credit and Banking 36 (4, Aug): 665-90.

Asso, Pier Francesco, George A. Kahn and Robert Leeson. 2007. The Taylor Rule and the transformation of monetary policy. Kansas City: Federal Reserve Bank of Kansas City RWP 07-II, Dec.

Asso, Pier Francesco, George A. Kahn and Robert Leeson. 2010. The Taylor Rule and the practice of central banking. Kansas City: Federal Reserve Bank of Kansas City, RWP 10-05, Feb.

Atkeson, Andrew and Patrick J. Kehoe. 1998. Paths of development for early- and late-bloomers in a dynamic Heckscher-Ohlin world. Minneapolis, Federal Reserve Bank of Minneapolis, Staff Report No. 256, Oct.

Atkeson, Andrew and Patrick J. Kehoe. 2004. Deflation and depression: is there an empirical link. American Economic Review 94 (2, May): 99-103.

Bagehot, Walter. 1873. Lombard Street, 14^th edn. London: Kegan, Paul & Co, 1917.

Ball, Laurence and N. Gregory Mankiw. 2002. The NAIRU in theory and practice. Journal of Economic Perspectives 16 (4, Autumn): 115-36.

Bank of Japan. 2012Feb14APP. Amendment to “Principal Terms and Conditions for the Asset Purchase Program.” Tokyo, Bank of Japan, Feb 14 http://www.boj.or.jp/en/announcements/release_2012/rel120214a.pdf

Bank of Japan. 2012Feb14PSG. The price stability goal in the medium to long term. Tokyo, Bank of Japan, Feb 14 http://www.boj.or.jp/en/announcements/release_2012/k120214b.pdf

Bank of Japan. 2012Feb14EME. Enhancement of monetary easing. Tokyo, Bank of Japan, Feb 14 http://www.boj.or.jp/en/announcements/release_2012/k120214a.pdf

Barbosa, Fernando de Holanda. 1987. Domestic and international sources of Brazilian inflation: 1947-80. In Luigi L. Pasinetti and P.J. Lloyd, eds. Structural change, economic interdependence and world development. Basingstoke: Palgrave Macmillan.

Barro, Robert J. and David B. Gordon. 1983a. Rules, discretion and reputation in a model of monetary policy. Journal of Monetary Economics 12 (1): 101-121.

Barro, Robert J. and David B. Gordon. 1983b. A positive theory of monetary policy in a natural rate model. Journal of Political Economy 91 (4, Aug): 589-610.

Barsky, Robert B. and Lutz Kilian. 2004. Oil and the macroeconomy since the 1970s. Journal of Economic Perspectives 18 (4, Autumn): 115-34.

Basel Committee on Banking Supervision. 2011Jun. Basel II: a global regulatory framework for more resilient banks and banking systems. Basel, Switzerland: BIS, Jun 2011 http://www.bis.org/publ/bcbs189.pdf

Batini, Nicoletta and Edward Nelson. 2002. The lag from monetary policy actions to inflation: Friedman revisited. London, Bank of England, External MPC Unit Discussion Paper No. 6, Jan.

Beim, David O. 2011Oct9. Can the euro be saved? New York City, Columbia University, Oct 9 http://www1.gsb.columbia.edu/mygsb/faculty/research/pubfiles/5573/Can%20the%20Euro%20be%20Saved.pdf

Benhabib, Jess and Mark M. Spiegel. 2009. Moderate inflation and the deflation-depression link. 2009. Journal of Money, Credit and Banking 41 (4, Jun): 787-798.

Benston, George J. and George G. Kaufman. 1997. The FDICA after five years. Journal of Economic Perspectives 11 (3, Summer, 1997): 139-58.

Bernanke, Ben S. 2002. Deflation: making sure “it” doesn’t happen here. Washington, DC, National Economists Club, Nov 21 http://www.federalreserve.gov/boarddocs/speeches/2002/20021121/default.htm

Bernanke, Ben S. 2000. Japanese monetary policy: a case of self-induced paralysis? In Ryoichi Mikitani and Adam S. Posen, Japan’s financial crisis and its parallels to US experience. Washington, DC, Institute for International Economics, Special Report 13, Sep 2000.

Bernanke, Ben S. 2002. Deflation: making sure “it” doesn’t happen here. Washington, DC, Before the National Economists Club, Nov 21 http://www.federalreserve.gov/boarddocs/speeches/2002/20021121/default.htm

Bernanke, Ben S. 2003. A perspective on inflation targeting. Business Economics 38 (3, Jul): 7–15.

Bernanke, Ben S. 2003JPY. Some thoughts on monetary policy in Japan. Tokyo, Before the Japan Society of Monetary Economics, May 31 http://www.federalreserve.gov/boarddocs/speeches/2003/20030531/default.htm

Bernanke, Ben S. 2009SL. The crisis and the policy response. London, London School of Economics, Stamp Lecture, Jan 13 http://www.federalreserve.gov/newsevents/speech/bernanke20090113a.htm

Bernanke, Ben S. 2010WP. What the Fed did and why: supporting the recovery and sustaining price stability. Washington Post, Nov 4. http://www.washingtonpost.com/wp-dyn/content/article/2010/11/03/AR2010110307372_pf.html

Bernanke, Ben S. 2011Oct4JEC. Statement. Washington, DC, Joint Economic Committee, US Congress, Oct 4 http://www.federalreserve.gov/newsevents/testimony/bernanke20111004a.pdf

Bernanke, Ben S. 2012Apr25. Transcript of Chairman Bernanke’s press conference April 25, 2012. Washington, DC, Board of Governors of the Federal Reserve System, Apr 25 http://www.federalreserve.gov/mediacenter/files/FOMCpresconf20120425.pdf

Bernanke, Ben S. 2012Aug22. Letter to The Honorable Darrell E. Issa. Washington, DC, Board of Governors of the Federal Reserve System, Aug 22 http://online.wsj.com/public/resources/documents/Bernankeletter0812.pdf

Bernanke, Ben S. 2012Oct14IMF. US monetary policy and international implications. Tokyo, Japan, Challenges of the Global Financial System: Risks and Governance under Evolving Globalization, High-level Seminar sponsored by Bank of Japan-International Monetary Fund, Oct 14 http://www.federalreserve.gov/newsevents/speech/bernanke20121014a.htm

Bernanke, Ben S. 2012JHAug31. Monetary policy since the onset of the crisis. Jackson Hole, WY, Federal Reserve Bank of Kansas City Economic Symposium, Aug 31 http://www.federalreserve.gov/newsevents/speech/bernanke20120831a.htm

Bernanke, Ben S. 2012Nov20. The economic recovery and economic policy. New York City, NY, Economic Club, Nov 20 http://www.federalreserve.gov/newsevents/speech/bernanke20121120a.htm

Bernanke, Ben S. 2013Mar25. Monetary policy and the global economy. London, Bank of England and London School of Economics, Mar 25 http://www.federalreserve.gov/newsevents/speech/bernanke20130325a.htm

Bernanke, Ben S. 2013Jul17. Statement on semiannual monetary policy report to the Congress. Washington, DC, Jul 17, US House of Representatives, Jul 18, US Senate http://www.federalreserve.gov/newsevents/testimony/bernanke20130717a.htm

Bernanke, Ben S. and Frederic S. Mishkin. 1997. Inflation targeting: a new framework for monetary policy? Journal of Economic Perspectives 11 (2, Spring): 97–116.

Bernanke, Ben S. and Vincent R. Reinhart. 2004. Conducting monetary policy at very low short-term interest rates. American Economic Review 94 (2): 85-90.

Black, Fischer and Myron Scholes. 1973. The pricing of options and corporate liabilities. Journal of Political Economy 81 (May/June): 637-54.

Blanchard, Olivier. 2011WEOSep. Foreword to IMF 2011WEOSep: XIII-XIV.

Blanchard, Olivier. 2012WEOApr. Foreword to IMF 2012WEOApr: XIII-XIV

Blanchard, Olivier and Lawrence F. Katz. 1997. What we know and do not know about the natural rate of unemployment. Journal of Economic Perspectives 11 (1, Winter): 51-72.

Blinder, Alan S. 2000. Monetary policy at the zero lower bound: balancing the risks. Journal of Money, Credit and Banking 32 (4, Nov): 1093-1099.

Blinder, Alan S. and Mark Zandi. 2010Jul27. How the Great Recession was brought to an end. Princeton, NJ, http://www.princeton.edu/~blinder/End-of-Great-Recession.pdf

Board of Governors of the Federal Reserve System. 2012Dec6. Flow of funds accounts of the United States. Washington, DC, Federal Reserve System, Dec 6 http://www.federalreserve.gov/releases/z1/default.htm

Board of Governors of the Federal Reserve System. 2017Jul17. Monetary policy report. Washington, DC, Board of Governors of the Federal Reserve, Jul 17 http://www.federalreserve.gov/monetarypolicy/mpr_default.htm

Bordo, Michael D. 2012Sep27. Financial recessions don’t lead to weak recoveries. Wall Street Journal, Sep 27 http://professional.wsj.com/article/SB10000872396390444506004577613122591922992.html

Bordo, Michael E. 2012Oct21. Why this US recovery is weaker. Bloomberg View, Oct 21 http://www.bloomberg.com/news/2012-10-21/why-this-u-s-recovery-is-weaker.html

Bordo, Michael D. and Hugh Rockoff. 2011. The influence of Irving Fisher on Milton Friedman’s monetary economics. Denver, CO, AEA Session on Irving Fisher and Modern Economics: 100 years after the Purchasing Power of Money, Jan 8 www.aeaweb.org/aea/2011conference/program/retrieve.php?pdfid

Bordo, Michael D, Ehsan Choudhri and Anna J. Schwartz. 1995. Could stable money have averted the Great Contraction. Economic Inquiry 33 (3, Jul): 484-505.

Bordo, Michael D. and Harold James. 2001. The Adam Klug Memorial Lecture: Haberler versus Nurkse: the case for floating exchange rates as an alternative to Bretton Woods? Cambridge, MA: NBER, WP 8545, Oct.

Bordo, Michael D. and Jopseh G. Haubrich. 2012DR. Deep recessions, fast recoveries, and financial crises: evidence from the American record. Cleveland, OH, Federal Reserve Bank of Cleveland, WP 12/14 http://www.clevelandfed.org/research/workpaper/2012/wp1214.pdf

Boskin, Michael J. 2010Sep. Summer of economic discontent. Wall Street Journal, Sep 2 http://online.wsj.com/article/SB10001424052748703882304575465462926649950.html?KEYWORDS=michael+boskin

Bricker, Jesse, Arthur B. Kennickell, Kevin B. Moore and John Sabelhaus. 2012. Changes in US family finances from 2007 to 2010: evidence from the Survey of Consumer Finances. Federal Reserve Bulletin 98 (2, Jun): 2-80 http://www.federalreserve.gov/pubs/bulletin/2012/PDF/scf12.pdf

Brunner, Karl and Allan H. Meltzer. 1973. Mr. Hicks and the “monetarists.” Economica NS 40 (157, Feb): 44-59.

Brunnermeier, Markus K. and Lasse Hege Pedersen. 2009. Market liquidity and funding liquidity. Review of Financial Studies 22 (6): 2201-38.

Buiter, Willem. 2011Oct31. EFSF needs bigger bazooka to maximize its firepower. Financial Times, Oct 31 http://www.ft.com/intl/cms/s/0/c4886f7a-03d3-11e1-bbc5-00144feabdc0.html#axzz1cMoq63R5

Buiter, Willem. 2012Oct15. Only big debt restructuring can save euro. Financial Times, Oct 15 http://www.ft.com/intl/cms/s/0/edd92eee-12de-11e2-aa9c-00144feabdc0.html#axzz29OP0k8cX

Brunner, Karl and Allan H. Meltzer. 1973. Mr. Hicks and the “monetarists.” Economica NS 40 (157, Feb): 44-59.

Burdekin, Richard C. 2005. US pressure on China’s currency: Milton Friedman and the silver episode revisited. Claremont McKenna College, Nov 2005 http://www.claremontmckenna.edu/rdschool/papers/2005-07.pdf

Bureau of Labor Statistics. 2011Feb11. Overview of seasonal adjustment of the current employment statistics program. Washington, Feb 11, 2011 http://www.bls.gov/ces/cessa_oview.pdf

Bureau of Labor Statistics. 2012Feb3. Seasonal adjustment files and documentation. Washington, BLD, Feb 3 http://www.bls.gov/web/empsit/cesseasadj.htm

Caballero, Ricardo and Francsco Giavazzi. 2012Jan15. Parity may be euro’s last chance. Bloomberg, Jan 15 http://www.bloomberg.com/news/2012-01-16/dollar-parity-may-be-euro-salvation-commentary-by-caballero-and-giavazzi.html

Cagan, Phillip. 1965. Determinants and effects of changes in the stock of money, 1875-1960. New York: Columbia University Press.

Calomiris, Charles C. and Gary B. Gorton. 1991. The origins of banking panics: models, facts and bank regulation. In R. Glenn Hubbard, ed. Financial markets and financial crises. Chicago: University of Chicago Press.

Cameron, Rondo E. 1961. France and the economic development of Europe 1800-1914: conquests of peace and seeds of war. Princeton: Princeton University Press.

Cameron, Rondo E. 1967. Banking in the early stages of industrialization. Oxford: Oxford University Press.

Cameron, Rondo E. 1972. Banking and economic development. Oxford: Oxford University Press.

Cameron, Rondo E., V.I. Bovkyn, Richard Sylla, Mira Wilkins, Boris Anan’ich, and A. A. Fursenko, eds. 1992. International Banking 1870-1914. Oxford: Oxford University Press.

CBO. 2011JunLTBO. CBO’s long-term budget outlook. Washington, DC, Congressional Budget Office, Jun http://www.cbo.gov/ftpdocs/122xx/doc12212/06-21-Long-Term_Budget_Outlook.pdf

CBO. 2012JanBEO. The budget and economic outlook: fiscal years 2012 to 2022. Washington, DC: Congressional Budget Office, Jan http://www.cbo.gov/ftpdocs/126xx/doc12699/01-31-2012_Outlook.pdf

CBO. 2012Jan31. Historical budget data. Washington, DC, Jan 31.

CBO. 2012MarBEO. Updated budget projections: fiscal years 2012 to 2022. Washington, DC: Congressional Budget Office, Mar http://www.cbo.gov/sites/default/files/cbofiles/attachments/March2012Baseline.pdf

CBO. 2012LTBO. The 2012 long-term budget outlook. Washington, DC: Congressional Budget Office, Jun http://www.cbo.gov/sites/default/files/cbofiles/attachments/06-05-Long-Term_Budget_Outlook.pdf

CBO. 2012AugBEO. An update to the budget and economic outlook: fiscal years 2012 to 2022. Washington, DC, Congressional Budget Office, Aug http://www.cbo.gov/publication/43539

CBO. 2012NovMBR. Monthly budget review fiscal year 2012. Washington, DC, Congressional Budget Office, Nov 7 http://www.cbo.gov/publication/43698

CBO. 2012NovCDR. Choices for deficit reduction. Washington, DC, Congressional Budget Office http://www.cbo.gov/publication/43692

CBO. 2012NovEEP. Economic effects of policies contributing to fiscal tightening in 2013. Washington, DC, Congressional Budget Office, Nov http://www.cbo.gov/publication/43694

CBO. 2013BEOFeb5. The budget and economic outlook: fiscal years 2013 to 2023. Washington, DC, Congressional Budget Office http://www.cbo.gov/publication/43907

CBO. 2013HBDFeb5. Historical budget data—February 2013 baseline projections. Washington, DC, Congressional Budget Office http://www.cbo.gov/publication/43904

CBO. 2013MEFeb5. Macroeconomic effects of alternative budget paths. Washington, DC, Congressional Budget Office, Feb 5 http://www.cbo.gov/publication/43769

CBO (2013Aug12). 2013AugHBD. Historical budget data—August 2013. Washington, DC, Congressional Budget Office, Aug 12 http://www.cbo.gov/publication/44507

CBO (2013Aug12Av). Kim Kowaleski and Amber Marcellino. Updated historical budget data. CBO, Aug 12 http://www.cbo.gov/publication/44508

CBO (2013Sep11). 2013Sep11. CBO’s baseline budget projections updated. Washington, DC, Congressional Budget Office, Sep 11 http://www.cbo.gov/publication/44574

CBO (2013Sep17). The 2013 long-term budget outlook. Washington, DC, Congressional Budget Office, Sep 17 http://www.cbo.gov/publication/44521

Chung, Hess, Jean-Philippe Laforte, David Reifschneider and John C. Williams. 2011. Have we underestimated the likelihood and severity of zero lower bound events? San Francisco, FRBSF, WP 2011-01 http://www.frbsf.org/publications/economics/papers/2011/wp11-01bk.pdf

Cline, William. 2001. The role of the private sector in resolving financial crises in emerging markets. Cambridge, MA, NBER, Jun.

Cline, William. 2002. Private sector involvement: definition, measurement and implementation. London, Bank of England Conference, Jul-23-4.

Cobet, Aaron E. and Gregory A. Wilson. 2002. Comparing 50 years of labor productivity in US and foreign manufacturing. Monthly Labor Review (Jun): 51-65.

Cochrane, John A. 2010A. The government debt valuation equation. An appendix to “Understanding policy.” http://faculty.chicagobooth.edu/john.cochrane/research/Papers/

Cochrane, John H. 2011Jan. Understanding policy in the great recession: some unpleasant fiscal arithmetic. European Economic Review 55 (1, Jan): 2-30.

Cochrane, John H. 2012Aug31. The Federal Reserve: from central bank to central planner. Wall Street Journal, Aug 31 http://professional.wsj.com/article/SB10000872396390444812704577609384030304936.html?mod=WSJ_hps_sections_opinion

Cochrane, John H. and Luigi Zingales. 2009. Lehman and the financial crisis. Wall Street Journal, Sep 15.

Cole, Harold L. and Lee E. Ohanian. 1999. The Great Depression in the United States from a neoclassical perspective. Federal Reserve Bank of Minneapolis Quarterly Review 23 (1, Winter): 2-24.

Cole, Harold L. and Narayana Kocherlakota. 1998. Zero nominal interest rates: why they are good and how to get them. Federal Reserve Bank of Minneapolis Quarterly Review 22 (2, Spring): 2-10.

Contador, Cláudio R. and Haddad, Cláudio L. 1975. Produto real, moeda e preços. Revista Brasileira de Estatística 36(143, jul/set): 407-40.

Cox, John C., Jonathan E. Ingersoll, Jr. and Stephen A. Ross. 1981. A re-examination of traditional hypotheses about the term structure of interest rates. Journal of Finance 36 (4, Sep): 769-99.

Cox, John C., Jonathan E. Ingersoll, Jr. and Stephen A. Ross. 1985. A theory of the term structure of interest rates. Econometrica 53 (2, Mar): 385-407.

Culbertson, John M. 1957. The term structure of interest rates. Quarterly Journal of Economics 71 (4, Nov): 485-517.

Culbertson, J. M. 1960. Friedman on the lag in effect of monetary policy. Journal of Political Economy 68 (6, Dec): 617-21.

Culbertson, J. M. 1961. The lag in effect of monetary policy: reply. Journal of Political Economy 69 (5, Oct): 467-77.

Culbertson, John M. 1963. The term structure of interest rates: reply. Quarterly Journal of Economics 77 (4, Nov): 691-6.

D’Amico Stefania and Thomas B. King. 2010. Flow and stock effects of large-sale Treasury purchases. Washington, DC, Federal Reserve board, Sep.

Darby, Michael R. Darby. 1974. The permanent income theory of consumption—a restatement. Quarterly Journal of Economics (88, 2): 228-50.

Deane, Phyllis. 1968. New estimates of gross national product for the United Kingdom 1830-1914. Review of Income and Wealth 14 (2, Jun): 95-112.

Delfim Netto, Antonio. 1959. O problema do café no Brasil. São Paulo: Faculdade de Economia e Administração da Universidade de São Paulo. Partly reprinted in Pelaez (1973).

De Long, J. Bradford. 1997. America’s peacetime inflation: the 1970s. In Christina D. Romer and David H. Romer, eds. Reducing inflation: motivation and strategy. Chicago: University of Chicago Press, 1997.

DeNavas-Walt, Carmen, Bernadette D. Proctor and Jessica C. Smith. 2012Sep. Income, poverty and health insurance coverage in the United States: 2011. Washington, DC, US Census Bureau http://www.census.gov/prod/2012pubs/p60-243.pdf

DeNavas-Walt, Carmen, Bernadette D. Proctor and Jessica C. Smith. 2013. Income, poverty, and health insurance coverage in the United States: 2012. Washington, DC: US Census Bureau, Current Population Reports, P60-245, US Government Printing Office http://www.census.gov/prod/2013pubs/p60-245.pdf

Doh, Taeyoung. 2010. The efficacy of large-scale asset purchases at the zero lower bound. Federal Reserve Bank of Kansas City Economic Review Second Quarter 2010: 5-34 http://www.kansascityfed.org/Publicat/EconRev/PDF/10q2Doh.pdf

Dorrance, G. S. 1948. The income terms of trade. Review of Economic Studies 16 (1, 1948-1949): 50-6.

Draghi, Mario. 2011Dec1. Introductory statement by Mario Draghi, President of the ECB. Brussels, Hearing before the Plenary of the European Parliament, Dec 1 http://www.ecb.int/press/key/date/2011/html/sp111201.en.html

Draghi, Mario. 2011Dec8. Introductory statement to the press conference. Frankfurt am Main, ECB, Dec 8 http://www.ecb.int/press/pressconf/2011/html/is111208.en.html

Draghi, Mario. 2012May26. Speech by Mario Draghi, President of the European Central Bank. London, Global Investment Conference, Jul 26 http://www.ecb.int/press/key/date/2012/html/sp120726.en.html

Draghi, Mario. 2012Aug29. The future of the euro: stability through change. Frankfurt am Main, ECB, published in Die Zeit, 29 Aug 2012 http://www.ecb.int/press/key/date/2012/html/sp120829.en.html

Duffie, Darell and Kenneth J. Singleton. 2003. Credit risk: pricing, measurement and management. Princeton: Princeton University Press.

Eggertsson, Gauti B. and Paul Krugman. 2010. Debt, deleveraging and the liquidity trap: A Fisher-Minsky-Koo approach. Princeton, Princeton University, Nov 16 http://www.princeton.edu/~pkrugman/debt_deleveraging_ge_pk.pdf

European Council. 2011Dec9. Statements by the euro area heads of state or government. Brussels, European Union, Dec 9 http://www.consilium.europa.eu/uedocs/cms_Data/docs/pressdata/en/ec/126658.pdf

European Council. 2012Oct19. Conclusions. Brussels, European Union, Oct 19 http://www.consilium.europa.eu/uedocs/cms_data/docs/pressdata/en/ec/133004.pdf

Delfim Netto, Antonio. 1958. O problema do café no Brasil. São Paulo: Faculdade de Economia e Administração, 1958. Partly reprinted in Peláez, Carlos Manuel. 1973. Ensaios sobre café e desenvolvimento econômico. Rio de Janeiro, IBC, 1973.

Diamond, DouglasW. 1984. Financial intermediation and delegated monitoring. Review of Economic Studies 51: 393-414.

Diamond, Douglas W. 1996. Financial intermediation as delegated monitoring: a simple example. Economic Quarterly Federal Reserve Bank of Richmond 82 (3): 51-66.

Diamond, Douglas W. and Philip H. Dybvig. 1983. Bank runs, deposit insurance and liquidity. Journal of Political Economy 91 (3, Jun): 401-49.

Diamond, Douglas W. and Philip H. Dybvig. 1986. Banking theory, deposit insurance and bank regulation. Journal of Business 59 (1, Jan): 55-68.

Diamond, Douglas W. and Raghuram G. Rajan. 2000. A theory of bank capital. Journal of Finance 55 (6, Dec): 2431-65.

Diamond, Douglas W. and Raghuram G. Rajan. 2001a. Banks and liquidity. American Economic Review 91 (2, May): 422-5.

Diamond, Douglas W. and Raghuram G. Rajan. 2001b. Liquidity Risk, liquidity creation and financial fragility: a theory of banking. Journal of Political Economy 109 (2, Apr): 287-327.

Dornbusch, Rudiger. 1976. Expectations and exchange rate dynamics. Journal of Political Economy 84 (6, Dec): 1161-76.

Draghi, Mario. 2011Dec15. The euro, monetary stability and the design of a fiscal compact. Berlin, Dec 15 http://www.ecb.int/press/key/date/2011/html/sp111215.en.html

Draghi, Mario. 2012May3. Introductory statement to the press conference. Barcelona, May 3 http://www.ecb.int/press/pressconf/2012/html/is120503.en.html

Draghi, Mario. 2012Jun15. President’s address at the 14^th ECB and its Watchers Conference. Frankfurt am Main, European Central Bank, Jun 15 http://www.ecb.int/press/key/date/2012/html/sp120615.en.html

Economides, Nicholas, Yannis Ioannides, Emmanuel Petrakis, Christopher Pissarides and Thanasis Stengos. 2012. What’s at stake in the Greek vote. Wall Street Journal, Jun 14 http://professional.wsj.com/article/SB10001424052702303822204577466541312448940.html?mod=WSJ_hps_sections_opinion

Eichengreen, Barry and Jeffrey Sachs. 1985. Exchange rates and economic recovery in the 1930s. Journal of Economic History 45 (4, Dec): 925-46.

Eggertson, Gauti B. and Michael Woodford. 2003. The zero bound on interest rates and optimal monetary policy. Brookings Papers on Economic Activity I (2003): 139-211.

European Central Bank. 2011MBDec. Editorial. Monthly Bulletin December 2011, 5-9 http://www.ecb.int/pub/pdf/mobu/mb201112en.pdf

European Commission. 2011Oct26SS. Euro summit statement. Brussels, European Commission, Oct 26 http://ec.europa.eu/news/economy/111027_en.htm

European Commission. 2011Oct26MRES. Main results of Euro Summit. Brussels, European Commission, Oct 26 http://www.consilium.europa.eu/uedocs/cms_Data/docs/pressdata/en/ec/125645.pdf

European Council. 2011Dec9. Statements by the euro area heads of state or government. Brussels, European Union, Dec 9 http://www.consilium.europa.eu/uedocs/cms_Data/docs/pressdata/en/ec/126658.pdf

Evans, Charles. 2010. Monetary policy in a low-inflation environment: developing a state-contingent price-level target. Boston, Federal Reserve Bank of Boston’s 55^th Economic Conference, Oct 16 http://chicagofed.org/webpages/publications/speeches/2010/10_16_boston_speech.cfm#_ftn1

Evans, Charles. 2012Aug27. Some thoughts on global risks and monetary policy. Hong Kong, China, Market News International Seminar, Aug 27 http://www.chicagofed.org/webpages/publications/speeches/2012/08_27_12_hongkong.cfm

Evans, Charles. 2012Nov27. Monetary policy in challenging times. Toronto, Canada, Howe Institute, Nov 27

http://www.chicagofed.org/webpages/publications/speeches/2012/11_27_12_cdhowe.cfm

Fabozi, Frank J., Gerald W. Buestow, Jr., and Robert R. Johnson. Measuring interest rate risk. In Frank J. Fabozzi, ed. The handbook of fixed income securities, 7^th Edition. New York, McGraw, 2006.

Fama, Eugene F. 1970. Efficient capital markets: a review of theory and empirical work. Journal of Finance 25 (2): 383-417.

Fama, Eugene F. and Robert R. Bliss. 1987. The information in long-maturity forward rates. American Economic Review 77 (4, Sep): 680-92.

Fisher, Irving. 1930. The theory of interest. New York: The Macmillan Company http://www.econlib.org/library/YPDBooks/Fisher/fshToI19.html

Fisher, Irving. 1933. The debt-deflation theory of great depressions. Econometrica 1(4): 337-57.

Fisher, Irving. 100% Money. 1936. New York: Adelphi Company.

Fishlow, Albert. 1965. American railroads and the transformation of the ante-bellum economy. Cambridge, MA: Harvard University Press.

Feldstein, Martin. 2012Mar19. Obama’s tax hikes threaten a new US recession. Financial Times, Mar 19 http://www.ft.com/intl/cms/s/0/0d0e7acc-6f7d-11e1-9c57-00144feab49a.html#axzz1pexRlsiQ

Fleming, J. Marcus. 1962. Domestic financial policies under fixed and under floating exchange rates. IMF Staff Papers 9: 369-79.

Fogel, Robert W. 1964. Railroads and American economic growth: essays in econometric history. Cambridge, MA: Harvard University Press.

Fogel, Robert W. and Stanley Engerman. 1974. Time on the cross. Boston: Little Brown.

Forbes, Kristin J. 2012JHAug9. The big “C”: identifying and mitigating contagion. Jackson Hole, WY, Federal Reserve Bank of Kansas City Symposium, Aug 31 http://www.kansascityfed.org/publicat/sympos/2012/kf.pdf

Friedman, Milton. 1953. The effects of a full-employment policy on economic stability: a formal analysis. In Milton Friedman, Essays on positive economics. Chicago: University of Chicago Press.

Friedman, Milton. 1953b. The case for flexible exchange rates. In Milton Friedman, Essays on positive economics. Chicago: University of Chicago Press: 157-203.

Friedman, Milton. 1957. A Theory of the Consumption Function. Princeton: Princeton University Press.

Friedman, Milton. 1961. The lag in effect of monetary policy. Journal of Political Economy 69 (5, Oct): 447-66.

Friedman, Milton. 1964. The monetary studies of the National Bureau. In The National Bureau enters its forty-fifth year. New York, NY: National Bureau of Economic Research, Inc., Forty-Fourth Annual Report: 7-25 http://www.nber.org/chapters/c4453.pdf

Friedman, Milton. 1968. The role of monetary policy. American Economic Review 58 (1, Mar): 1-17.

Friedman, Milton. 1969. The optimum quantity of money. In Milton Friedman, The optimum quantity of money and other essays. Chicago: Aldine, 1969.

Friedman, Milton. 1970. Controls on interest rates paid by banks. Journal of Money, Credit and Banking 2 (1, Feb): 15-32.

Friedman, Milton. 1982. Monetary policy: theory and practice. Journal of Money, Credit and Banking 14 (1, Feb): 98-118.

Friedman, Milton. 1988. The “plucking model” of business fluctuations revisited. Palo Alto, CA, The Hoover Institution, Stanford University, Working Papers in Economics E-88-48, Dec 1988.

Friedman, Milton. 1989. Bimetalism revisited. Palo Alto, CA, The Hoover Institution, Stanford University, Working Papers in Economics E-89-24. Aug 1989.

Friedman, Milton. Franklin D. Roosevelt, Silver and China. Journal of Political Economy 100 (1, Feb): 62-83.

Friedman, Milton and Anna Jacobson Schwartz. 1963. A monetary history of the United States, 1867-1960. Princeton: Princeton University Press.

Friedman, Milton and Anna Jacobson Schwartz. 1970. Monetary statistics of the United States: estimates, sources, and methods. New York: Columbia University Press.

FOMC. 2006Dec12. Meeting of the Federal Open Market Committee December 12, 2006. Washington, DC, Federal Reserve, Dec 12 http://www.federalreserve.gov/monetarypolicy/files/FOMC20061212meeting.pdf

Gagnon, Joseph, Matthew Raskin, Julie Remache and Brian Sack. 2010. Large-scale asset purchases by the Federal Reserve: did they work. New York, FRBNY Staff Report no. 441, Mar http://data.newyorkfed.org/research/staff_reports/sr441.pdf

Georgescu-Rogen, Nicholas. 1960. Economic theory and agrarian economics. Oxford Economic Papers New Series 12 (1, Feb): 1-40.

Gorton, Gary. 2009EFM. The subprime panic. European Financial Management 15 (1): 10-46.

Graham, Frank D. 1936. Partial reserve money and the 100 per cent proposal. American Economic Review (26, 3): 428-40.

Gorton, Gary and Andrew Metrick. 2010H. Haircuts. Federal Reserve Bank of St. Louis Review 92 (6, Nov/Dec): 507-19 http://research.stlouisfed.org/publications/review/10/11/Gorton.pdf

Gorton, Gary and Andrew Metrick. 2010SB. Securitized banking and the run on repo. New Haven, Yale University, 2010, Nov.

Greenspan, Alan. 2004. Risk and uncertainty in monetary policy. American Economic Review 94 (2, May): 33-40. Also available at http://www.federalreserve.gov/boarddocs/speeches/2004/20040103/default.htm

Gürkaynak, Refet S., Brian Sack and Eric T. Swanson. 2005. Do actions speak louder than words? The response of asset prices to monetary policy actions and statements. International Journal of Central Banking 1 (May): 55-93.

Haberler, Gottfried. 1937. Prosperity and depression. Lake Success, New York: United Nations. http://mises.org/document/4617/

Haddad, Cláudio L. 1974. Growth of Brazilian real output. Chicago, Ph.D. Dissertation, University of Chicago, Jun.

Hamilton, Alexander. 1780. The national Bank. In Henry Cabot Lodge, ed. The works of Alexander Hamilton. New York and London: G. P. Putnam & Sons, 1904: 319-45. http://oll.libertyfund.org/?option=com_staticxt&staticfile=show.php%3Ftitle=1380&chapter=64319&layout=html#a_1594266

Hamilton, James D. and Jing Wu. 2010. The effectiveness of alternative monetary policy tools in a zero lower bound environment. San Diego, University of California San Diego, Nov 3 http://dss.ucsd.edu/~jhamilto/zlb.pdf

Harberger, Arnold C. 1971. Three basic postulates for applied welfare economics: an interpretive essay. Journal of Economic Literature 9 (3): 785-97.

Harberger, Arnold C. 1997. New frontiers in project evaluation? World Bank Research Observer 12 (1): 73-9.

Harris, Jennifer M. 2011BA. Benchmark article. Washington, DC, Bureau of Labor Statistics http://www.bls.gov/ces/cesbmart.pdf

Hetzel, Robert L. and Ralph F. Leach. 2001. The Treasury-Fed accord: a new narrative account. Federal Reserve Bank of Richmond Economic Quarterly 87 (1, Winter): 33-55.

Hicks, John R. 1935. A suggestion for simplifying the theory of money. Economica NS 2 (5, Feb): 1-19.

Hicks, John R. 1937. Mr. Keynes and the “classics”: a suggested interpretation. Econometrica 5 (2, Apr): 147-59.

Hicks, John R. 1962. Liquidity. Economic Journal 72 (288, Dec): 787-802.

Hicks, John R. 1975. The scope and status of welfare economics. Oxford Economic Papers 27 (3): 307-26.

Imlah, Albert H. 1958. Economic elements in the Pax Britannica. Cambridge, MA: Harvard University Press, 1958.

Hallerbach, Winfried G. 2001. Duration and Dimension. Tinbergen Institute Working Paper No. TI 99-047/2, Erasmus University, Amsterdam, the Netherlands http://papers.ssrn.com/sol3/cf_dev/AbsByAuth.cfm?per_id=89567

Ho, Tai-kuang and Cheng-chung Lai. 2012. Silver fetters? The rise and fall of Chinese price level under fluctuating world silver price, 1928-34. Hsinchu, Taiwan, National Tsiang Hua University, Nov http://apebh2013.files.wordpress.com/2013/02/ho-lai-textrv.pdf

Hobbs, Frank and Nicole Stoops. 2002. Demographic trends in the 20^th century. Washington, DC, US Government Printing Office http://www.census.gov/prod/2002pubs/censr-4.pdf

Hoover, Ethel D. 1958. Wholesale and retail prices in the nineteenth century. Journal of Economic History 18 (3, Sep): 298-316.

Hoover, Ethel D. 1960. Retail prices after 1850. In Trends in the American economy in the nineteenth century. New York: National Bureau of Economic Research, 1960.

IMF. 2011WEOSep. World economic outlook Sep 11: slowing growth, rising risks. Washington, DC, IMF Sep http://www.imf.org/external/pubs/ft/weo/2011/02/pdf/text.pdf

IMF. 2011JSRNov23. Japan sustainability report. Washington, DC, IMF, Nov 23 http://www.imf.org/external/np/country/2011/mapjapanpdf.pdf

IMF. 2012GFSRJan24. Global Financial Stability Report: market update. Washington, DC, IMF, Jan 24 http://www.imf.org/external/pubs/ft/fmu/eng/2012/01/index.htm

IMF. 2012FMJan24. Fiscal Monitor Update. Washington, DC, IMF, Jan 24 http://www.imf.org/external/pubs/ft/fm/2012/update/01/fmindex.htm

IMF. 2012WEOJan24. World Economic Outlook Update: an update of the key WEO projections. Washington, DC, IMF, Jan 24 http://www.imf.org/external/pubs/ft/weo/2012/update/01/index.htm

IMF. 2012WEOApr. World Economic Outlook April 2012: growth resuming, dangers remains. Washington, DC, IMF, 2012, Apr http://www.imf.org/external/pubs/ft/weo/2012/01/pdf/text.pdf

IMF. 2012GFSRApr. Global financial stability report: the quest for lasting stability. Washington, DC, IMF 2012, Apr http://www.imf.org/external/pubs/ft/gfsr/2012/01/pdf/text.pdf

IMF. 2012FMApr. Fiscal monitor: balancing fiscal policy risks. Washington, DC, IMF, Apr

http://www.imf.org/external/pubs/ft/fm/2012/01/pdf/fm1201.pdf

IMFC. 2012Apr20. Joint Statement of the International Monetary and Financial Committee and the Group of 20 Finance Ministers and Central Bank Governors on IMF Resources. Washington, DC, IMF, Apr 20 http://www.imf.org/external/np/sec/pr/2012/pr12144.htm

IMFC. 2012Apr21. Communiqué of the Twenty-Fifth Meeting of the IMFC. Washington, DC, IMF, Apr 21 http://www.imf.org/external/np/sec/pr/2012/pr12145.htm

IMF. 2012FSAPJun8. Spain: Financial Stability Assessment. Washington, DC, International Monetary Fund, Jun http://www.imf.org/external/pubs/ft/scr/2012/cr12137.pdf

IMF. 2012FMOct. Fiscal Monitor: taking stock a progress report on fiscal adjustment. Washington, DC, International Monetary Fund, Oct http://www.imf.org/external/pubs/ft/fm/2012/02/pdf/fm1202.pdf

IMF. 2012GFSROct. Global Financial and Stability Report: restoring confidence and progressing on reforms. Washington, DC, International Monetary Fund, Oct http://www.imf.org/External/Pubs/FT/GFSR/2012/02/pdf/text.pdf

IMF. 2012WEOOct. World Economic Outlook October 2012: coping with high debt and sluggish growth. Washington, DC, International Monetary Fund, Oct http://www.imf.org/external/pubs/ft/weo/2012/02/pdf/text.pdf

Ingersoll, Jonathan. 1987. Theory of Financial Decision Making. New Jersey: Rowman.

Ireland, Peter N. 1999. Does the time-consistency problem explain the behavior of inflation in the United States. Journal of Monetary Economics 44 (2): 279-91.

Ireland, Peter N. 2003. Implementing the Friedman rule. Review of Economic Dynamics 6(2003): 120-134.

Issa, Darrell E. 2012Aug1. Letter to the Honorable Ben Bernanke. Washington DC, Committee on Oversight and Government Reform, Congress of the United States, House of Representatives, Aug 1 http://online.wsj.com/public/resources/documents/Bernankeletter0812.pdf

Ito, Takatoshi. Interventions and Japanese economic recovery. YenMacro, Michigan 2004 1 http://www.fordschool.umich.edu/rsie/Conferences/CGP/Oct2004Papers/Ito.pdf

Jensen, Michael C. 1993. The modern industrial revolution, exit and the failure of internal control systems. Journal of Finance 48 (3, Jul): 831-80.

Joint Forum of the Basel Committee on Banking Supervision, International Organization of Securities Commissions and the International Association of Supervisors. 2004. Credit risk transfer. BCBS, BIS, Oct. http://www.bis.org/publ/joint10.pdf

Kahil, Raouf. 1973. Inflation and economic development in Brazil. Oxford: Clarendon Press.

Kendall, Maurice G. and Alan Stuart. 1968. The advanced theory of statistics, III. New York: Hafner, 1968.

Kim, Chang-Jin and Charles R. Nelson. 1999. Friedman’s plucking model of business fluctuations: tests and estimates of permanent and transitory components. Journal of Money, Credit and Banking 31 (3, Part 1, Aug): 317-334.

Kohn, Donald L. 2009Apr18. Monetary policy in the financial crisis. Nashville, TN, Conference in Honor of Dewey Daane, Apr 18 http://www.federalreserve.gov/newsevents/speech/kohn20090418a.htm

Kohn, Donald L. 2009Sep10. Comments on “Interpreting the Unconventional US Monetary policy of 2007-2009.” Washington, Brookings Institution, Sep 10 http://www.federalreserve.gov/newsevents/speech/kohn20090910a.htm

Krugman, Paul. 1998. It’s baaack: Japan’s slump and the return of the liquidity trap. Brookings Papers on Economic Activity 2 (1998): 137-205.

Krugman, Paul. 2011Jun 18. Mr. Keynes and the moderns. Princeton, Princeton University Jun 18. Prepared for Conference on 75^th Anniversary of Keynes’ General Theory, Cambridge, Cambridge University, Jun 19-21 http://www.princeton.edu/~pkrugman/keynes_and_the_moderns.pdf

Krugman, Paul. 2012Apr24. Earth to Ben Bernanke: chairman Bernanke should listen to Professor Bernanke. New York Times Magazine, Apr 24 http://www.nytimes.com/2012/04/29/magazine/chairman-bernanke-should-listen-to-professor-bernanke.html?pagewanted=all

Kuznets, Simon. 1971. Modern economic growth: findings and reflections. Lecture to the memory of Alfred Nobel, Dec 11, 1971 http://www.nobelprize.org/nobel_prizes/economics/laureates/1971/kuznets-lecture.html

Kydland, Finn E. and Edward C. Prescott. 1977. Rules rather than discretion: the inconsistency of optimal plans. Journal of Political Economy 85 (3, Jun): 473-92.

Lazear, Edward P. 2012Jan19. The jobs picture is still far from rosy. Wall Street Journal, Jan 19 http://professional.wsj.com/article/SB10001424052970204468004577165292033648810.html

Lazear, Edward P. 2013Jan7. Chinese “currency manipulation” is not the problem. Wall Street Journal, Jan 7 http://professional.wsj.com/article/SB10001424127887323320404578213203581231448.html

Lazear, Edward P. and Spletzer, James R. 2012JHJul22. The United States labor market: status quo or a new normal? Jackson, Hole, WY, Federal Reserve Bank of Kansas City Symposium, Sep 1 http://www.kansascityfed.org/publicat/sympos/2012/el-js.pdf

Lazear, Edward P. and James R. Spletzer. 2012Mar. Hiring, churn and the business cycle. Cambridge, MA, NBER, Mar http://www.nber.org/papers/w17910

Lazear, Edward P. and James R. Spletzer. 2012May. Hiring, churn and the business cycle. American Economic Review Papers and Proceedings 102 (May, No. 3): 575-579.

Leff, Nathaniel H. 1975. Review of Inflation and Economic Development in Brazil, 1946-1963 by Raouf Kahil. Journal of Economic Literature 12 (2, Jun): 510-11.

Levin, Andrew and John B. Taylor. 2009. Falling behind the curve: a positive analysis of stop-start monetary policies and the Great Inflation. Cambridge, MA, NBER, Dec.

Lintner, John. 1965. The valuation of risk assets and the selection of risky investments in stock portfolios and capital budgets. Review of Economics and Statistics 47 (1, Feb): 12-37.

Lucas, Robert E. 1976. Econometric policy evaluation: a critique. Carnegie Rochester Conference Series on Public Policy I (1976): 16-46.

Lucas, Robert E. 2004. The industrial revolution: past and future. In Federal Reserve Bank of Minneapolis 2003Annual Report, May 1, 2004 http://www.minneapolisfed.org/publications_papers/pub_display.cfm?id=3333

Lucas, Robert E. 2011May. The US recession of 2007-201? Washington, University of Washington, Milliman Lecture, May 19 http://www.econ.washington.edu/news/millimansl.pdf

Macaulay, Frederick R. 1938. Some theoretical problems suggested by the movement of interest rates, bond yields and stock prices in the United States since 1856. New York, National Bureau of Economic Research http://papers.nber.org/books/maca38-1

MacFarlane, Helen and Paul Mortimer-Lee. 1994. Inflation over 300 years. Bank of England Quarterly Bulletin, May 1994, 156-162.

Mann, Henry B. 1945. Nonparametric tests against trend. Econometrica 13 (3, Jul): 245-259.

Markowitz, Harry. 1952. Portfolio selection. Journal of Finance 7 (1, Mar): 77-91.

McCallum, Bennett. 1999. Issues in the design of monetary policy rules. In John B. Taylor and Michael Woodford, eds. Handbook of Macroeconomics Volume 1A. Amsterdam: Elsevier North Holland.

McKinnon, Ronald I. 1973. Money and Capital in Economic Development. Washington, DC: Brookings Institution.

McKinnon, Ronald I. 2011Dec18. Oh, for Alexander Hamilton to save Europe! Financial Times, Dec 18 http://www.ft.com/intl/cms/s/0/811611d6-273a-11e1-b7ec-00144feabdc0.html#axzz1gzoHXOj6

McKinsey & Co. 2007. Sustaining New York and the US’ global financial services leadership. New York: McKinsey & Co.

Meltzer, Allan H. 2005. Origins of the Great Inflation. Federal Reserve Bank of St. Louis Review 87 (2, Part 2, Mar/Apr): 145-72.

Meltzer, Allan H. 2004. A history of the federal reserve, Volume 1: 1913-1951. Chicago: University of Chicago Press.

Meltzer, Allan H. 2010a. A history of the Federal Reserve, Volume 2, Book 1, 1951-1969. Chicago: University of Chicago Press.

Meltzer, Allan H. 2010b. A history of the Federal Reserve, Volume 2, Book 2, 1970-1986. Chicago: University of Chicago Press.

Metzler, Lloyd A. The nature and stability of inventory cycles. 1941. Review of Economics and Statistics 23 (3, Aug): 113-29.

Merton, Robert C. 1973. Theory of rational option pricing. Bell Journal of Economics and Management Science 4 (1, Spring): 141-83.

Merton, Robert C. 1974. On the pricing of corporate debt: the risk structure of interest rates. Journal of Finance 29 (2, May): 449-70.

Merton, Robert C. 1998. Applications of option-pricing theory: twenty-five years later. American Economic Review 88 (3): 323-49.

Meulendyke, Ann-Marie. 1998. U.S. monetary policy and financial markets. New York: Federal Reserve Bank of New York http://www.newyorkfed.org/education/addpub/monpol/

Modigliani, Franco and Richard Sutch. 1966. Innovations in interest rate policy. American Economic Review 56 (1/2, Mar): 178-97.

Modigliani, Franco and Richard Sutch. 1967. Debt management and the term structure of interest rates: an empirical analysis of recent experience. Journal of Political Economy 75 (4, Aug): 569-89.

Mossin, Jan. 1966. 1966. Equilibrium in a capital asset market. Econometrica 34 (4, Oct): 768-83.

Mundell, Robert A. 1963. Capital mobility and stabilization policy under fixed and flexible exchange rates. Canadian Journal of Economics and Political Science 29 (4): 475-85.

North, Douglass C. 1994. Economic performance through time. American Economic Review 84 (3): 359-68.

North, Douglass C. and Barry R. Weingast. 1989. Constitutions and commitments: the evolution of institutional governing public choice in seventeenth-century England. Journal of Economic History 49 (4): 803-32.

Nurkse, Ragnar. 1944. International currency experience: lessons of the interwar experience. Geneva, League of Nations.

O’Donoghue, Jim and Louise Goulding, 2004. Consumer Price Inflation since 1750. UK Office for National Statistics Economic Trends 604, Mar 2004, 38-46.

Pelaez, Carlos A. 2008. The reform of Alexander Hamilton. Philadelphia, University of Pennsylvania Law School, Unpublished manuscript.

Pelaez, Carlos M. and Carlos A. Pelaez. 2005. International Financial Architecture. Basingstoke: Palgrave Macmillan. http://us.macmillan.com/QuickSearchResults.aspx?search=pelaez%2C+carlos&ctl00%24ctl00%24cphContent%24ucAdvSearch%24imgGo.x=26&ctl00%24ctl00%24cphContent%24ucAdvSearch%24imgGo.y=14 http://www.amazon.com/Carlos-Manuel-Pel%C3%A1ez/e/B001HCUT10

Pelaez, Carlos M. and Carlos A. Pelaez. 2007. The Global Recession Risk. Basingstoke: Palgrave Macmillan. http://www.amazon.com/Carlos-Manuel-Pel%C3%A1ez/e/B001HCUT10

Pelaez, Carlos M. and Carlos A. Pelaez. 2008a. Globalization and the State: Vol. I. Basingstoke: Palgrave Macmillan. http://www.amazon.com/Carlos-Manuel-Pel%C3%A1ez/e/B001HCUT10

Pelaez, Carlos M. and Carlos A. Pelaez. 2008b. Globalization and the State: Vol. II. Basingstoke: Palgrave Macmillan.

Pelaez, Carlos M. and Carlos A. Pelaez. 2008c. Government Intervention in Globalization. Basingstoke: Palgrave Macmillan. http://www.amazon.com/Carlos-Manuel-Pel%C3%A1ez/e/B001HCUT10

Pelaez, Carlos M. and Carlos A. Pelaez. 2009a. Financial Regulation after the Global Recession. Basingstoke: Palgrave Macmillan. http://www.amazon.com/Carlos-Manuel-Pel%C3%A1ez/e/B001HCUT10

Pelaez, Carlos M. and Carlos A. Pelaez. 2009b. Regulation of Banks and Finance. Basingstoke: Palgrave Macmillan.http://www.amazon.com/Carlos-Manuel-Pel%C3%A1ez/e/B001HCUT10

Pelaez, Carlos Manuel. 1968. The State, the Great Depression and the Industrialization of Brazi. New York, PhD Dissertation, Columbia University in the City of New York, Jun.

Pelaez, Carlos Manuel. 1968b. A Balança Comercial, a Grande Depressão e a Industrialização Brasileira. Revista Brasileira de Economia 22 (1, Jan/Mar): 15-47.

Pelaez, Carlos Manuel 1971. Análise econômica do programa brasileiro de sustentação do café—1906-1945. Revista Brasileira de Economia 25 (4, Out/Dez): 5-211.

Pelaez, Carlos Manuel. 1972. História da Industrialização Brasileira. Rio de Janeiro: APEC.

Pelaez, Carlos Manuel, ed. 1973. Essays on Coffee and Economic Development. Rio de Janeiro, IBC, 1973. Portuguese edition: Ensaios sobre Café e Desenvolvimento Econômico. Rio de Janeiro: Instituto Brasileiro do Café, 1973.

Pelaez, Carlos Manuel. 1974. Long-run Monetary Behavior and Institutions in an Underdeveloped Economy, 1800-1971. Copenhaguen, Paper Presented at the VI International Congress on Economic History, Session on Monetary Inflation in Historical Perspective, International Economic History Association, Aug 22.

Pelaez, Carlos Manuel. 1975. The Establishment of Banking Institutions in a Backward Economy: Brazil, 1800-1851. Business History Review 49 (4, Winter): 446-472.

Pelaez, Carlos Manuel. 1976a. The Theory and Reality of Imperialism in the Coffee Economy of Nineteenth-Century Brazil. Economic History Review 29, Second Series (May): 276-294.

Pelaez, Carlos Manuel. 1976b. A Comparison of Long-term Monetary Behavior and Institutions in Brazil, Europe and the United States. Journal of European Economic History 5 (2, Fall): 439-450.

Pelaez, Carlos Manuel. 1977. World War I and the Economy of Brazil: Some Evidence from Monetary Statistics. Journal of Interdisciplinary History (7, Apr): 683-680.

Pelaez, Carlos Manuel. 1979. História Econômica do Brasil: Um Elo entre a Teoria e a Realidade Econômica. São Paulo: Editora Atlas.

Pelaez, Carlos Manuel. 1986. O Cruzado e o Austral: Análise das Reformas Monetárias do Brasil e da Argentina. São Paulo: Editora Atlas.

Pelaez, Carlos Manuel. 1987. Economia Brasileira Contemporânea: Origens e Conjuntura Atual. São Paulo: Editora Atlas.

Pelaez, Carlos Manuel and Wilson Suzigan. 1978. Economia Monetária: Teoria, Política e Evidência Empírica. São Paulo, Atlas.

Pelaez, Carlos Manuel and Wilson Suzigan. 1981. História Monetária do Brasil Segunda Edição. Coleção Temas Brasileiros. Brasília: Universidade de Brasília.

Phelps, Edmund S. 1968. Money-wage dynamics and labor market equilibrium. Journal of Political Economy 76 (4, 2, Jul-Aug): 678-711.

Pinto, Edward J. 2008. Statement. Washington, DC, US House of Representatives, Committee on Oversight and Government Reform, Dec 9.

Pozsar, Zoltan, Adrian Tobias, Adam Ashcraft and Hayley Boesky. 2012RFeb. Shadow banking. New York: Federal Reserve Bank of New York, Staff Report No. 458, Revised Feb 2012 http://www.newyorkfed.org/research/staff_reports/sr458.pdf

Reinhart, Carmen M. and Kenneth Rogoff. 2010GTD. Growth in a time of debt. American Economic Review 100 (2): 1-9.

Rajan, Raghuram G. 2004. Remarks. Sydney, Australia, Australasian Finance and Banking Conference, Dec 15.

Rajan, Raghuram G. 2005. Has financial development made the world riskier? Jackson Hole, WY, Symposium sponsored by the Federal Reserve Bank of Kansas City. http://www.kc.frb.org/publicat/sympos/2005/PDF/Rajan2005.pdf

Rajan, Raghuram G. 2012May8. Stop beating up on Ben Bernanke. Financial Times, May 8 http://blogs.ft.com/the-a-list/2012/05/08/stop-beating-up-on-ben-bernanke/

Rajan, Raghuram G. 2012FA. The true lessons of the recession: the West can’t borrow and spend its way to recovery. Foreign Affairs 91 (May/June, 3): 69-79.

Rajan, Raghuram G. and Luigi Zingales. 2001. The influence of the financial revolution on the nature of the firm. American Economic Review 91 (2): 206-11.

Robinson, Joan. 1947. Beggar-my-neighbour remedies for unemployment. In Joan Robinson, Essays in the Theory of Employment, Oxford, Basil Blackwell, 1947.

Reinhart, Carmen M. 2010CB. This time is different chartbook: country histories on debt, default and financial crises. Cambridge, MA, NBER WP 15815, Mar http://www.nber.org/papers/w15815

Reinhart, Carmen M. and Vincent R. Reinhart. 2011Feb. Pride goes before a fall: Federal Reserve policy and asset markets. Cambridge, MA, NBER WP 16815, Feb http://www.nber.org/papers/w16815

Reinhart, Carmen M. and Vincent R. Reinhart. 2010AF. After the fall. Cambridge, MA, NBER WP 16634, Sep http://www.nber.org/papers/w16334

Reinhart Carmen M., Kenneth S. Rogoff and Miguel A. Savastano. 2003. Debt intolerance. Brookings Papers on Economic Activity 1 (2003): 1-74.

Reinhart, Carmen M. and Kenneth S. Rogoff. 2008TDPV. This time is different: a panoramic view of eight centuries of financial crises. Cambridge, MA, WP 13882, Mar http://www.nber.org/papers/w13882

Reinhart, Carmen M. and Kenneth S. Rogoff. 2009AFC. The aftermath of financial crises. Cambridge, MA, WP 14656, Jan http://www.nber.org/papers/w14656

Reinhart, Carmen M. and Kenneth Rogoff. 2009TD. This time is different: eight centuries of financial folly. Princeton: Princeton University Press http://www.amazon.com/This-Time-Different-Centuries-Financial/dp/0691142165/ref=pd_sim_b_6

Reinhart, Carmen M. and Kenneth Rogoff. 2010GTD. Growth in a time of debt. American Economic Review 100 (2): 1-9.

Reinhart, Carmen M. and Kenneth S. Rogoff. 2010FCDC. From financial crash to debt crisis. Cambridge, MA, NBER WP 15795, Mar http://www.nber.org/papers/w15795 forthcoming in American Economic Review http://www.aeaweb.org/forthcoming/output/acceptedAER.php

Reinhart, Carmen M. and Kenneth S. Rogoff. 2011CEPR. A decade of debt. Washington, DC, Center for Economic and Policy Research, Discussion Paper No. 8310, Apr. Cambridge, MA, NBER WP 16827, Feb http://www.nber.org/papers/w16827

Reinhart, Carmen M. and Kenneth S. Rogoff. 2011EJ. The forgotten history of domestic debt. Economic Journal 121 (May): 319-350.

Reinhart, Carmen M. and Kenneth S. Rogoff. 2011Jul14. Debt endangers growth. Bloomberg, Jul14 http://www.bloomberg.com/news/2011-07-14/too-much-debt-means-economy-can-t-grow-commentary-by-reinhart-and-rogoff.html

Reinhart, Carmen M. and M. Belen Sbrancia. 2011LD. The liquidation of government debt. Cambridge, MA, NBER WP 16893, Mar http://www.nber.org/papers/w16893

Reinhart, Carmen M. and Kenneth S. Rogoff. 2012Oct14. This time is different, again? The United States five years after the onset of subprime. Cambridge, MA, Harvard University, Oct 14 http://www.economics.harvard.edu/faculty/rogoff/files/Is_US_Different_RR_3.pdf

Rogoff, Kenneth. 2002MF. Dornbusch’s overshooting model after twenty-five years. Washington, DC, IMF, Mundell-Fleming Lecture http://www.imf.org/external/np/speeches/2001/kr/112901.pdf

Roll, Richard. 1977. A critique of the asset pricing theory’s tests. Part I: on past and potential testability of the theory. Journal of Financial Economics 4 (2, Mar): 129-76.

Romer, Christina D. 1992. What ended the Great Depression? Journal of Economic History 52 (4, Dec): 757-84.

Romer, Christina D. and David H. Romer. 2004. A new measure of monetary shocks: derivation and implications. American Economic Review 94 (4, Sep): 1055-84.

Samuelson, Paul A. 1965. Proof that properly anticipated stock prices fluctuate randomly. Industrial Management Review 6 (2): 41-9.

Samuelson, Paul A. 1974. Lessons from the current economic expansion. American Economic Review 64 (2, May): 75-7.

Sargent, Thomas J. 1983. The end of four big inflations. In Robert E. Hall, ed. Inflation: causes and effects. Chicago: Chicago University Press.

Sargent, Thomas J. and Neil Wallace. 1973. The stability of models of money and growth with perfect foresight. Econometrica 41 (6, Nov): 1043-8.

Sargent, Thomas J. and Neil Wallace. 1981. Some unpleasant monetarist arithmetic. Federal Reserve Bank of Minneapolis Quarterly Review 5 (3, Fall): 1-17.

Sargent, Thomas J. and William L. Silber. 2012Mar20. The challenges of the Fed’s bid for transparency. Financial Times, Mar 20 http://www.ft.com/intl/cms/s/0/778eb1ce-7288-11e1-9c23-00144feab49a.html#axzz1pexRlsiQ

Seers, Dudley. 1962. A theory of inflation and growth in under-developed economies based on the experience of Latin America. Oxford Economic Papers New Series 14 (Jun, 2): 173-95.

Seligman, Edwin R. A. 1908. The crisis of 1907 in the light of history. Introduction to The currency problem and the present financial situation. New York: Columbia University Press http://fraser.stlouisfed.org/docs/publications/books/currencyprob/1908currencyproblem_introduction.pdf

Sharpe, William F. 1964. Capital asset prices: a theory of market equilibrium under conditions of risk. Journal of Finance 19 (3, Sep): 425-42.

Shaw, Edward S. 1973. Financial Deepening in Economic Development. New York: Oxford University Press.

Shultz, George P., Michael J. Boskin, John F. Cogan, Allan H. Meltzer and John B. Taylor. 2012. The magnitude of the mess we’re in. Wall Street Journal, Sep 16, 2012 http://professional.wsj.com/article/SB10001424052702303561504577497442109193610.html?mod=WSJ_hps_sections_opinion

Simons, Henry C. 1936. Rules versus authorities in monetary policy. Journal of Political Economy 44 (1, Feb): 1-30.

Simons, Henry C. 1948. Economic Policy for a free society. Chicago: University of Chicago Press.

Sims, Christopher A. 1972. Money, income and causality. American Economic Review 62 (4, Sep): 540-52.

Singer, Hans W. 1950. The distribution of gains between investing and borrowing countries. American Economic Review 40 (2, May): 473-485.

Standard & Poor’s Rating Services (S&PRS). 2012Jan13. Standard & Poor’s takes various rating actions on 16 eurozone sovereign governments. Frankfurt, S&P Rating Services, Jan 13 http://www.standardandpoors.com/ratings/articles/en/us/?articleType=HTML&assetID=1245327294763

Standard & Poor’s Rating Services (S&PRS). 2012Jan16. European Financial Stability Facility long-term Ratings Cut to ‘AA+’; short-term ratings affirmed; outlook developing. Frankfurt, S&P Rating Services, Jan 16 http://www.standardandpoors.com/ratings/articles/en/us/?articleType=HTML&assetID=1245327337060

Stein, Stanley J. and Barbara H. Stein. 1970. The colonial heritage of Latin America. New York and London: Oxford University Press.

Summerhill, Jr., William R. 2007SC. Sovereign credibility with financial underdevelopment. Palo Alto, CA, Hoover Seminar on Collective Choice, Mar 6.

Summerhill, Jr., William R. 2007IR. Inglorious revolution: political institutions, sovereign debt and financial underdevelopment in Imperial Brazil. Los Angeles, CA, UCLA, Book Manuscript.

Svensson, Lars E. 2003. What is wrong with Taylor rules? Using judgment in monetary policy through targeting rules. Journal of Economic Literature 41 (2 Jun): 426–77.

Svensson, Lars E. 2003LT. Escaping from a liquidity trap and deflation: the foolproof way and others. Journal of Economic Perspectives 17 (4, Autumn): 145-66.

Swanson, Eric T. 2011Mar. Let’s twist again: a high-frequency event-study analysis of operation twist and its implication for QE2. Forthcoming in Brookings Papers on Economic Activity http://www.brookings.edu/~/media/Files/Programs/ES/BPEA/2011_spring_bpea_papers/2011_spring_bpea_conference_swanson.pdf

Taylor, Alan M. 2012. The great leveraging. Basel, Switzerland, Bank for International Settlements, Jul http://www.bis.org/events/conf120621/taylor.pdf

Taylor, John B. 1993. Discretion versus policy rules in practice. Carnegie-Rochester Conference Series on Public Policy 39 (1993): 195-214.

Taylor, John B. 1997. Comment. In Christina Romer and David Romer, eds. Reducing inflation: motivation and strategy. Chicago: University of Chicago Press.

Taylor, John B. 1998LB. Monetary policy and the long boom. Federal Reserve Bank of St. Louis Review (Nov-Dec): 3-11.

Taylor, John B. 1999. An historical analysis of monetary policy rules. In John B. Taylor, ed. Monetary policy rules. Chicago: University of Chicago Press.

Taylor, John B. 2007JH. Housing and monetary policy. Jackson Hole, WY, Federal Reserve Bank of Kansas City Symposium http://www.kansascityfed.org/PUBLICAT/SYMPOS/2007/PDF/Taylor_0415.pdf

Taylor, John B. 2008Nov. The financial crisis and the policy responses: an empirical analysis of what went wrong. Bank of Canada, Nov 2008 http://www.stanford.edu/~johntayl/Onlinepaperscombinedbyyear/2008/The_Financial_Crisis_and_the_Policy_Responses_An_Empirical_Analysis_of_What_Went_Wrong.pdf

Taylor, John B. 2009. Getting off track: how government actions and interventions caused, prolonged, and worsened the financial crisis. Stanford, CA, Hoover Institution Press.

Taylor, John B. 2012FP. First principles: five keys to restoring America’s prosperity. New York: W. W. Norton.

Taylor, John B. 2012Mar27. Testimony before the Joint Economic Committee at the Hearing on “Monetary Policy Going Forward: Why a Sound Dollar Boosts Growth and Employment.” Washington, DC, JEC, Mar 27 http://jec.senate.gov/republicans/public/?a=Files.Serve&File_id=f002b5f0-9fc0-45f9-9d53-e563137c040e

Taylor, John B. 2012Mar28. The dangers of an interventionist Fed. Wall Street Journal, Mar 28 http://professional.wsj.com/article/SB10001424052702303816504577307403971824094.html?mod=WSJ_hps_sections_opinion

Taylor, John B. 2012JMCB. Monetary policy rules work and discretion doesn’t: a tale of two eras. Palo Alto, CA, Stanford University, Mar 2012, forthcoming in the Journal of Money, Credit and Banking, 2012 http://www.stanford.edu/~johntayl/JMCB%20lecture.pdf

Taylor, John B. 2012Oct25. An unusually weak recovery as usually defined. Economics One, A Blog by John B. Taylor, Oct 25 http://www.johnbtaylorsblog.blogspot.co.uk/2012/10/an-unusually-weak-recovery-as-usually.html

Taylor, John B. and John C. Williams. 2010. Simple and robust rules for monetary policy. In Benjamin Friedman and Michael Woodford, eds. Handbook of monetary economics Volume 3B. Amsterdam: Elsevier North Holland.

Temin, Peter. 1997. Two views of the British industrial revolution. Journal of Economic History 57 (1, Mar): 63-82.

Tobias, Adrian and Adam B. Aschraft. 2012Apr. Shawdow banking regulation. New York, Federal Reserve Bank of New York, Staff Report No. 559, Apr http://www.newyorkfed.org/research/staff_reports/sr559.pdf

Tobin, James. 1958. Liquidity preference as behavior toward risk. Review of Economic Studies 26 (Feb): 65-86.

Tobin, James. 1961. Money, capital, and other stores of value. American Economic Review 51 (2, May): 26-37.

Tobin, James. 1969. A general equilibrium approach to monetary theory. Journal of Money, Credit and Banking 1 (1, Feb): 15-29.

Tobin, James. 1974. Monetary policy in 1974 and beyond. Brookings Papers on Economic Activity 1 (1974): 219-32.

Treynor, Jack L. 1962. Toward a theory of market value of risky assets, unpublished manuscript, 1962, provided by Craig W. French, http://papers.ssrn.com/sol3/papers.cfm?abstract_id=628187

Vayanos, Dimitri and Jean-Luc Vila. 2009. A preferred-habitat model of the term structure of interest rates. New Orleans, AFA Meetings Paper, Nov 1. http://papers.ssrn.com/sol3/papers.cfm?abstract_id=971439

Vilela Luz, Nícia. 1961. A luta pela industrialização do Brasil (1808 a 1930). São Paulo: Difusão Europeia do Livro.

Vilela Luz, Nicia and Carlos Manuel Peláez. 1972. Economia e história: o encontro dos dois campos de conhecimento. Revista Brasileira de Economia 26 (3, Jul/Sep): 273-301.

Villela, Annibal V. and Wilson Suzigan. 1973. Política do governo e crescimento da economia brasileira. Rio de Janeiro: IPEA/INPES.

Viner, Jacob. 1937. Studies in the theory of international trade. New York: Harper and Brothers, 1965. Available at http://oll.libertyfund.org/?option=com_staticxt&staticfile=show.php%3Ftitle=1414

Wallis, W. Allen and Geoffrey H. Moore. 1941. A significance test for time series and other ordered observations. New York: National Bureau of Economic Research, 1941.

Williams, David, C.A. E. Goodhart and D. H. Gowland. 1976. Money, income and causality: the UK experience. American Economic Review 66 (3, Jun): 417-23.

Winston, Clifford. 2006. Government failure versus market failure. Washington, DC: American Enterprise Institute/Brookings Joint Center for Regulatory Studies, Brookings Institution Press.

Wolf, Martin. 2012Oct23. A slow convalescence under Obama. Financial Times, Oct 23, 2012 http://www.ft.com/intl/cms/s/0/791fc13a-1c57-11e2-a63b-00144feabdc0.html#axzz2AotsUk1q

Wriston, Walter B. 1982. Banking against disaster. New York Times, Sep 14.

Yellen, Janet L. 2011AS. The Federal’s Reserve’s asset purchase program. Denver, Colorado, Allied Social Science Association Annual Meeting, Jan 8 http://federalreserve.gov/newsevents/speech/yellen20110108a.pdf

Zingales, Luigi. 2000. In search of new foundations. Journal of Finance 55 (4, Aug): 1623-54.

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Collapse of United States Dynamism of Income Growth and Employment Creation, Private Sector Jobs, Increasing Interest Rate Risk, Tapering Quantitative Easing, Duration Dumping, Steepening Yield Curve and Global Financial and Economic Risk, World Economic Slowdown and Global Recession Risk: Part III

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