Monday, June 23, 2014

Valuation Risks, World Inflation Waves, Squeeze of Economic Activity by Carry Trades Induced by Zero Interest Rates, United States Industrial Production, Unresolved US Balance of Payments Deficits and Fiscal Imbalance Threatening Risk Premium on Treasury Securities, World Cyclical Slow Growth and Global Recession Risk: Part V

 

Valuation Risks, World Inflation Waves, Squeeze of Economic Activity by Carry Trades Induced by Zero Interest Rates, United States Industrial Production, Unresolved US Balance of Payments Deficits and Fiscal Imbalance Threatening Risk Premium on Treasury Securities, World Cyclical Slow Growth and Global Recession Risk

Carlos M. Pelaez

© Carlos M. Pelaez, 2009, 2010, 2011, 2012, 2013, 2014

Executive Summary

I World Inflation Waves

IA Appendix: Transmission of Unconventional Monetary Policy

IB1 Theory

IB2 Policy

IB3 Evidence

IB4 Unwinding Strategy

IB United States Inflation

IC Long-term US Inflation

ID Current US Inflation

IE Theory and Reality of Economic History, Cyclical Slow Growth Not Secular Stagnation and Monetary Policy Based on Fear of Deflation

IIA Unresolved US Balance of Payments Deficits and Fiscal Imbalance Threatening Risk Premium on Treasury Securities

IIB United States Industrial Production

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

V World Economic Slowdown. Table V-1 is constructed with the database of the IMF (http://www.imf.org/external/ns/cs.aspx?id=28) to show GDP in dollars in 2012 and the growth rate of real GDP of the world and selected regional countries from 2013 to 2016. The data illustrate the concept often repeated of “two-speed recovery” of the world economy from the recession of 2007 to 2009. The IMF has changed its forecast of the world economy to 3.0 percent in 2013 but accelerating to 3.6 percent in 2014, 3.9 percent in 2015 and 3.9 percent in 2016. Slow-speed recovery occurs in the “major advanced economies” of the G7 that account for $34,543 billion of world output of $72,106 billion, or 47.9 percent, but are projected to grow at much lower rates than world output, 2.0 percent on average from 2013 to 2016 in contrast with 3.6 percent for the world as a whole. While the world would grow 15.2 percent in the four years from 2013 to 2016, the G7 as a whole would grow 8.5 percent. The difference in dollars of 2012 is rather high: growing by 15.2 percent would add around $11.0 trillion of output to the world economy, or roughly, two times the output of the economy of Japan of $5,938 billion but growing by 8.5 percent would add $6.1 trillion of output to the world, or about the output of Japan in 2012. The “two speed” concept is in reference to the growth of the 150 countries labeled as emerging and developing economies (EMDE) with joint output in 2012 of $27,080 billion, or 37.6 percent of world output. The EMDEs would grow cumulatively 21.9 percent or at the average yearly rate of 5.1 percent, contributing $5.9 trillion from 2013 to 2016 or the equivalent of somewhat less than the GDP of $8,229 billion of China in 2012. The final four countries in Table V-1 often referred as BRIC (Brazil, Russia, India, China), are large, rapidly growing emerging economies. Their combined output in 2012 adds to $14,340 billion, or 19.9 percent of world output, which is equivalent to 41.5 percent of the combined output of the major advanced economies of the G7.

Table V-1, IMF World Economic Outlook Database Projections of Real GDP Growth

 

GDP USD 2012

Real GDP ∆%
2013

Real GDP ∆%
2014

Real GDP ∆%
2015

Real GDP ∆%
2016

World

72,106

3.0

3.6

3.9

3.9

G7

34,543

1.4

2.2

2.3

2.3

Canada

1,821

2.0

2.3

2.4

2.4

France

2,613

0.3

1.0

1.5

1.7

DE

3,428

0.5

1.7

1.6

1.4

Italy

2,014

-1.8

0.6

1.1

1.3

Japan

5,938

1.5

1.4

1.0

0.7

UK

2,484

1.8

2.9

2.5

2.4

US

16,245

1.9

2.8

3.0

3.0

Euro Area

12,192

-0.5

1.2

1.5

1.5

DE

3,428

0.5

1.7

1.6

1.4

France

2,613

0.3

1.0

1.5

1.7

Italy

2,014

-1.8

0.6

1.1

1.3

POT

212

-1.4

1.2

1.5

1.7

Ireland

211

-0.3

1.7

2.5

2.5

Greece

249

-3.9

0.6

2.9

3.7

Spain

1,323

-1.2

0.9

1.0

1.1

EMDE

27,080

4.7

4.9

5.3

5.4

Brazil

2,248

2.3

1.8

2.7

3.0

Russia

2,004

1.3

1.3

2.3

2.5

India

1,859

4.4

5.4

6.4

6.5

China

8,229

7.7

7.5

7.3

7.0

Notes; DE: Germany; EMDE: Emerging and Developing Economies (150 countries); POT: Portugal

Source: IMF World Economic Outlook databank http://www.imf.org/external/ns/cs.aspx?id=28

Continuing high rates of unemployment in advanced economies constitute another characteristic of the database of the WEO (http://www.imf.org/external/ns/cs.aspx?id=28). Table V-2 is constructed with the WEO database to provide rates of unemployment from 2012 to 2016 for major countries and regions. In fact, unemployment rates for 2013 in Table V-2 are high for all countries: unusually high for countries with high rates most of the time and unusually high for countries with low rates most of the time. The rates of unemployment are particularly high in 2013 for the countries with sovereign debt difficulties in Europe: 16.3 percent for Portugal (POT), 13.1 percent for Ireland, 27.3 percent for Greece, 26.4 percent for Spain and 12.2 percent for Italy, which is lower but still high. The G7 rate of unemployment is 7.1 percent. Unemployment rates are not likely to decrease substantially if slow growth persists in advanced economies.

Table V-2, IMF World Economic Outlook Database Projections of Unemployment Rate as Percent of Labor Force

 

% Labor Force 2012

% Labor Force 2013

% Labor Force 2014

% Labor Force 2015

% Labor Force 2016

World

NA

NA

NA

NA

NA

G7

7.4

7.1

6.7

6.5

6.3

Canada

7.3

7.0

7.0

6.9

6.8

France

10.2

10.8

11.0

10.7

10.3

DE

5.5

5.3

5.2

5.2

5.2

Italy

10.7

12.2

12.4

11.9

11.1

Japan

4.3

4.0

3.9

3.9

3.9

UK

8.0

7.6

6.9

6.6

6.3

US

8.1

7.4

6.4

6.2

6.1

Euro Area

11.4

12.1

11.9

11.6

11.1

DE

5.5

5.3

5.2

5.2

5.2

France

10.2

10.8

11.0

10.7

10.3

Italy

10.7

12.2

12.4

11.9

11.1

POT

15.7

16.3

15.7

15.1

14.5

Ireland

14.7

13.1

11.2

10.5

10.1

Greece

24.2

27.3

26.3

24.4

21.4

Spain

25.0

26.4

25.5

24.9

24.2

EMDE

NA

NA

NA

NA

NA

Brazil

5.5

5.4

5.6

5.8

6.0

Russia

5.5

5.5

6.2

6.2

6.0

India

NA

NA

NA

NA

NA

China

4.1

4.1

4.1

4.1

4.1

Notes; DE: Germany; EMDE: Emerging and Developing Economies (150 countries)

Source: IMF World Economic Outlook databank http://www.imf.org/external/ns/cs.aspx?id=28

Table V-3 provides the latest available estimates of GDP for the regions and countries followed in this blog from IQ2012 to IVQ2013 available now for all countries. There are preliminary estimates for all countries for IQ2014. Growth is weak throughout most of the world.

  • Japan. The GDP of Japan increased 1.0 percent in IQ2012, 4.1 percent at SAAR (seasonally adjusted annual rate) and 3.2 percent relative to a year earlier but part of the jump could be the low level a year earlier because of the Tōhoku or Great East Earthquake and Tsunami of Mar 11, 2011. Japan is experiencing difficulties with the overvalued yen because of worldwide capital flight originating in zero interest rates with risk aversion in an environment of softer growth of world trade. Japan’s GDP fell 0.6 percent in IIQ2012 at the seasonally adjusted annual rate (SAAR) of minus 2.5 percent, which is much lower than 4.1 percent in IQ2012. Growth of 3.2 percent in IIQ2012 in Japan relative to IIQ2011 has effects of the low level of output because of Tōhoku or Great East Earthquake and Tsunami of Mar 11, 2011. Japan’s GDP contracted 0.8 percent in IIIQ2012 at the SAAR of minus 3.0 percent and decreased 0.2 percent relative to a year earlier. Japan’s GDP increased 0.1 percent in IVQ2012 at the SAAR of 0.2 percent and decreased 0.3 percent relative to a year earlier. Japan grew 1.3 percent in IQ2013 at the SAAR of 5.3 percent and increased 0.1 percent relative to a year earlier. Japan’s GDP increased 0.7 percent in IIQ2013 at the SAAR of 2.9 percent and increased 1.2 percent relative to a year earlier. Japan’s GDP grew 0.3 percent in IIIQ2013 at the SAAR of 1.3 percent and increased 2.3 percent relative to a year earlier. In IVQ2013, Japan’s GDP increased 0.1 percent at the SAAR of 0.3 percent, increasing 2.5 percent relative to a year earlier. Japan’s GDP increased 1.6 percent in IQ2014 at the SAAR of 6.7 percent and increased 3.0 percent relative to a year earlier.
  • China. China’s GDP grew 1.4 percent in IQ2012, annualizing to 5.7 percent, and 8.1 percent relative to a year earlier. The GDP of China grew at 2.1 percent in IIQ2012, which annualizes to 8.7 percent and 7.6 percent relative to a year earlier. China grew at 2.0 percent in IIIQ2012, which annualizes at 8.2 percent and 7.4 percent relative to a year earlier. In IVQ2012, China grew at 1.9 percent, which annualizes at 7.8 percent, and 7.9 percent in IVQ2012 relative to IVQ2011. In IQ2013, China grew at 1.5 percent, which annualizes at 6.1 percent and 7.7 percent relative to a year earlier. In IIQ2013, China grew at 1.8 percent, which annualizes at 7.4 percent and 7.5 percent relative to a year earlier. China grew at 2.3 percent in IIIQ2013, which annualizes at 9.5 percent and 7.8 percent relative to a year earlier. China grew at 1.7 percent in IVQ2013, which annualized to 7.0 percent and 7.7 percent relative to a year earlier. China’s GDP grew 1.4 percent in IQ2014, which annualizes to 5.7 percent, and 7.4 percent relative to a year earlier. There is decennial change in leadership in China (http://www.xinhuanet.com/english/special/18cpcnc/index.htm). Growth rates of GDP of China in a quarter relative to the same quarter a year earlier have been declining from 2011 to 2014.
  • Euro Area. GDP fell 0.1 percent in the euro area in IQ2012 and decreased 0.2 in IQ2012 relative to a year earlier. Euro area GDP contracted 0.3 percent IIQ2012 and fell 0.5 percent relative to a year earlier. In IIIQ2012, euro area GDP fell 0.2 percent and declined 0.7 percent relative to a year earlier. In IVQ2012, euro area GDP fell 0.5 percent relative to the prior quarter and fell 1.0 percent relative to a year earlier. In IQ2013, the GDP of the euro area fell 0.2 percent and decreased 1.1 percent relative to a year earlier. The GDP of the euro area increased 0.3 percent in IIQ2013 and fell 0.6 percent relative to a year earlier. In IIIQ2013, euro area GDP increased 0.1 percent and fell 0.3 percent relative to a year earlier. The GDP of the euro area increased 0.3 percent in IVQ2013 and increased 0.5 percent relative to a year earlier. In IQ2014, the GDP of the euro area increased 0.2 percent and 0.9 percent relative to a year earlier.
  • Germany. The GDP of Germany increased 0.7 percent in IQ2012 and 1.8 percent relative to a year earlier. In IIQ2012, Germany’s GDP decreased 0.1 percent and increased 0.6 percent relative to a year earlier but 1.1 percent relative to a year earlier when adjusted for calendar (CA) effects. In IIIQ2012, Germany’s GDP increased 0.2 percent and 0.4 percent relative to a year earlier. Germany’s GDP contracted 0.5 percent in IVQ2012 and changed 0.0 percent relative to a year earlier. In IQ2013, Germany’s GDP changed 0.0 percent and fell 1.6 percent relative to a year earlier. In IIQ2013, Germany’s GDP increased 0.7 percent and 0.9 percent relative to a year earlier. The GDP of Germany increased 0.3 percent in IIIQ2013 and 1.1 percent relative to a year earlier. In IVQ2013, Germany’s GDP increased 0.4 percent and 1.3 percent relative to a year earlier. The GDP of Germany increased 0.8 percent in IQ2014 and 2.5 percent relative to a year earlier.
  • United States. Growth of US GDP in IQ2012 was 0.9 percent, at SAAR of 3.7 percent and higher by 3.3 percent relative to IQ2011. US GDP increased 0.3 percent in IIQ2012, 1.2 percent at SAAR and 2.8 percent relative to a year earlier. In IIIQ2012, US GDP grew 0.7 percent, 2.8 percent at SAAR and 3.1 percent relative to IIIQ2011. In IVQ2012, US GDP grew 0.0 percent, 0.1 percent at SAAR and 2.0 percent relative to IVQ2011. In IQ2013, US GDP grew at 1.1 percent SAAR, 0.3 percent relative to the prior quarter and 1.3 percent relative to the same quarter in 2013. In IIQ2013, US GDP grew at 2.5 percent in SAAR, 0.6 percent relative to the prior quarter and 1.6 percent relative to IIQ2012. US GDP grew at 4.1 percent in SAAR in IIIQ2013, 1.0 percent relative to the prior quarter and 2.0 percent relative to the same quarter a year earlier (http://cmpassocregulationblog.blogspot.com/2014/06/financial-instability-mediocre-cyclical.html and earlier http://cmpassocregulationblog.blogspot.com/2014/05/financial-volatility-mediocre-cyclical.html) with weak hiring (http://cmpassocregulationblog.blogspot.com/2014/05/rules-discretionary-authorities-and.html). In IVQ2013, US GDP grew 0.7 percent at 2.6 percent SAAR and 2.6 percent relative to a year earlier. In IQ2014, US GDP decreased 0.2 percent, 2.0 percent relative to a year earlier and -1.0 percent at SAAR.
  • United Kingdom. In IQ2012, UK GDP changed 0.0 percent, increasing 0.6 percent relative to a year earlier. UK GDP fell 0.4 percent in IIQ2012 and increased 0.1 percent relative to a year earlier. UK GDP increased 0.8 percent in IIIQ2012 and increased 0.3 percent relative to a year earlier. UK GDP fell 0.2 percent in IVQ2012 relative to IIIQ2012 and increased 0.2 percent relative to a year earlier. UK GDP increased 0.4 percent in IQ2013 and 0.5 percent relative to a year earlier. UK GDP increased 0.8 percent in IIQ2013 and 1.7 percent relative to a year earlier. In IIIQ2013, UK GDP increased 0.8 percent and 1.8 percent relative to a year earlier. UK GDP increased 0.7 percent in IVQ2013 and 2.7 percent relative to a year earlier. In IQ2014, UK GDP increased 0.8 percent and 3.1 percent relative to a year earlier.
  • Italy. Italy has experienced decline of GDP in nine consecutive quarters from IIIQ2011 to IIIQ2013. Italy’s GDP fell 1.1 percent in IQ2012 and declined 1.7 percent relative to IQ2011. Italy’s GDP fell 0.5 percent in IIQ2012 and declined 2.4 percent relative to a year earlier. In IIIQ2012, Italy’s GDP fell 0.4 percent and declined 2.6 percent relative to a year earlier. The GDP of Italy contracted 0.9 percent in IVQ2012 and fell 2.8 percent relative to a year earlier. In IQ2013, Italy’s GDP contracted 0.6 percent and fell 2.4 percent relative to a year earlier. Italy’s GDP fell 0.3 percent in IIQ2013 and 2.2 percent relative to a year earlier. The GDP of Italy decreased 0.1 percent in IIIQ2013 and declined 1.9 percent relative to a year earlier. Italy’s GDP increased 0.1 percent in IVQ2013 and decreased 0.9 percent relative to a year earlier. In IQ2014, Italy’s GDP decreased 0.1 percent and fell 0.5 percent relative to a year earlier.
  • France. France’s GDP increased 0.2 percent in IQ2012 and increased 0.6 percent relative to a year earlier. France’s GDP decreased 0.3 percent in IIQ2012 and increased 0.4 percent relative to a year earlier. In IIIQ2012, France’s GDP increased 0.3 percent and increased 0.5 percent relative to a year earlier. France’s GDP fell 0.3 percent in IVQ2012 and changed 0.0 percent relative to a year earlier. In IQ2013, France GDP changed 0.0 percent and declined 0.2 percent relative to a year earlier. The GDP of France increased 0.6 percent in IIQ2013 and 0.7 percent relative to a year earlier. France’s GDP decreased 0.1 percent in IIIQ2013 and increased 0.3 percent relative to a year earlier. The GDP of France increased 0.2 percent in IVQ2013 and 0.8 percent relative to a year earlier. In IVQ2014, France’s GDP changed 0.0 percent and increased 0.8 percent relative to a year earlier.

Table V-3, Percentage Changes of GDP Quarter on Prior Quarter and on Same Quarter Year Earlier, ∆%

 

IQ2012/IVQ2011

IQ2012/IQ2011

United States

QOQ: 0.9       

SAAR: 3.7

3.3

Japan

QOQ: 1.0

SAAR: 4.1

3.2

China

1.4

8.1

Euro Area

-0.1

-0.2

Germany

0.7

1.8

France

0.2

0.6

Italy

-1.1

-1.7

United Kingdom

0.0

0.6

 

IIQ2012/IQ2012

IIQ2012/IIQ2011

United States

QOQ: 0.3        

SAAR: 1.2

2.8

Japan

QOQ: -0.6
SAAR: -2.5

3.2

China

2.1

7.6

Euro Area

-0.3

-0.5

Germany

-0.1

0.6 1.1 CA

France

-0.3

0.4

Italy

-0.5

-2.4

United Kingdom

-0.4

0.1

 

IIIQ2012/ IIQ2012

IIIQ2012/ IIIQ2011

United States

QOQ: 0.7 
SAAR: 2.8

3.1

Japan

QOQ: –0.8
SAAR: –3.0

-0.2

China

2.0

7.4

Euro Area

-0.2

-0.7

Germany

0.2

0.4

France

0.3

0.5

Italy

-0.4

-2.6

United Kingdom

0.8

0.3

 

IVQ2012/IIIQ2012

IVQ2012/IVQ2011

United States

QOQ: 0.0
SAAR: 0.1

2.0

Japan

QOQ: 0.1

SAAR: 0.2

-0.3

China

1.9

7.9

Euro Area

-0.5

-1.0

Germany

-0.5

0.0

France

-0.3

0.0

Italy

-0.9

-2.8

United Kingdom

-0.2

0.2

 

IQ2013/IVQ2012

IQ2013/IQ2012

United States

QOQ: 0.3
SAAR: 1.1

1.3

Japan

QOQ: 1.3

SAAR: 5.3

0.1

China

1.5

7.7

Euro Area

-0.2

-1.1

Germany

0.0

-1.6

France

0.0

-0.2

Italy

-0.6

-2.4

UK

0.4

0.5

 

IIQ2013/IQ2013

IIQ2013/IIQ2012

United States

QOQ: 0.6

SAAR: 2.5

1.6

Japan

QOQ: 0.7

SAAR: 2.9

1.2

China

1.8

7.5

Euro Area

0.3

-0.6

Germany

0.7

0.9

France

0.6

0.7

Italy

-0.3

-2.2

UK

0.8

1.7

 

IIIQ2013/IIQ2013

III/Q2013/  IIIQ2012

USA

QOQ: 1.0
SAAR: 4.1

2.0

Japan

QOQ: 0.3

SAAR: 1.3

2.3

China

2.3

7.8

Euro Area

0.1

-0.3

Germany

0.3

1.1

France

-0.1

0.3

Italy

-0.1

-1.9

UK

0.8

1.8

 

IVQ2013/IIIQ2013

IVQ2013/IVQ2012

USA

QOQ: 0.7

SAAR: 2.6

2.6

Japan

QOQ: 0.1

SAAR: 0.3

2.5

China

1.7

7.7

Euro Area

0.3

0.5

Germany

0.4

1.3

France

0.2

0.8

Italy

0.1

-0.9

UK

0.7

2.7

 

IQ2014/IVQ2013

IQ2014/IQ2013

USA

QOQ -0.2

SAAR -1.0

2.0

Japan

QOQ: 1.6

SAAR: 6.7

3.0

China

1.4

7.4

Euro Area

0.2

0.9

Germany

0.8

2.5

France

0.0

0.8

Italy

-0.1

-0.5

UK

0.8

3.1

QOQ: Quarter relative to prior quarter; SAAR: seasonally adjusted annual rate

Source: Country Statistical Agencies http://www.census.gov/aboutus/stat_int.html

Table V-4 provides two types of data: growth of exports and imports in the latest available months and in the past 12 months; and contributions of net trade (exports less imports) to growth of real GDP.

“Industrial production rose 0.6 percent in May after having declined 0.3 percent in April. The decrease in April was previously reported to have been 0.6 percent. Manufacturing output increased 0.6 percent in May after having moved down 0.1 percent in the previous month. In May, the output of mines gained 1.3 percent and the production of utilities decreased 0.8 percent. At 103.7 percent of its 2007 average, total industrial production in May was 4.3 percent above its level of a year earlier. The capacity utilization rate for total industry increased 0.2 percentage point in May to 79.1 percent, a rate that is 1.0 percentage point below its long-run (1972–2013) average.”

In the six months ending in May 2014, United States national industrial production accumulated increase of 2.2 percent at the annual equivalent rate of 4.5 percent, which is higher than growth of 4.3 percent in the 12 months ending in May 2014. Excluding growth of 1.1 percent in Feb 2014, growth in the remaining five months from Dec to May 2014 accumulated to 1.1 percent or 2.7 percent annual equivalent. Industrial production fell in two of the past six months. Business equipment accumulated growth of 3.7 percent in the six months from Dec 2013 to May 2014 at the annual equivalent rate of 7.6 percent, which is higher than growth of 5.3 percent in the 12 months ending in May 2014. The Fed analyzes capacity utilization of total industry in its report (http://www.federalreserve.gov/releases/g17/Current/default.htm): “The capacity utilization rate for total industry increased 0.2 percentage point in May to 79.1 percent, a rate that is 1.0 percentage points below its long-run (1972–2013) average.” United States industry apparently decelerated to a lower growth rate with possible acceleration in past months.

Manufacturing increased 0.6 percent in May 2014 after decreasing 0.1 percent in Feb 2014 and increasing 0.8 percent in Mar 2014 seasonally adjusted, increasing 3.6 percent not seasonally adjusted in the 12 months ending in May 2014. Manufacturing grew cumulatively 2.0 percent in the six months ending in May 2014 or at the annual equivalent rate of 4.0 percent. Excluding the increase of 1.4 percent in Feb 2014, manufacturing accumulated growth of 0.6 percent from Dec 2013 to May 2014 or at the annual equivalent rate of 1.2 percent. Table I-2 provides a longer perspective of manufacturing in the US. There has been evident deceleration of manufacturing growth in the US from 2010 and the first three months of 2011 into more recent months as shown by 12 months rates of growth. Growth rates appeared to be increasing again closer to 5 percent in Apr-Jun 2012 but deteriorated. The rates of decline of manufacturing in 2009 are quite high with a drop of 18.2 percent in the 12 months ending in Apr 2009. Manufacturing recovered from this decline and led the recovery from the recession. Rates of growth appeared to be returning to the levels at 3 percent or higher in the annual rates before the recession but the pace of manufacturing fell steadily in the past six months with some strength at the margin. The Board of Governors of the Federal Reserve System conducted the annual revision of industrial production released on Mar 28, 2014 (http://www.federalreserve.gov/releases/g17/revisions/Current/DefaultRev.htm):

“The Federal Reserve has revised its index of industrial production (IP) and the related measures of capacity and capacity utilization. The annual revision for 2014 was more limited than in recent years because the source data required to extend the annual benchmark indexes of production into 2012 were mostly unavailable. Consequently, the IP indexes published with this revision are very little changed from previous estimates. Measured from fourth quarter to fourth quarter, total IP is now reported to have increased about 3 1/3 percent in each year from 2011 to 2013. Relative to the rates of change for total IP published earlier, the new rates are 1/2 percentage point higher in 2012 and little changed in any other year. Total IP still shows a peak-to-trough decline of about 17 percent for the most recent recession, and it still returned to its pre-recession peak in the fourth quarter of 2013.”

Manufacturing fell 21.9 from the peak in Jun 2007 to the trough in Apr 2009 and increased by 19.9 percent from the trough in Apr 2009 to Dec 2013. Manufacturing grew 23.8 percent from the trough in Apr 2009 to May 2014. Manufacturing output in May 2014 is 3.3 percent below the peak in Jun 2007.

Table V-4, Growth of Trade and Contributions of Net Trade to GDP Growth, ∆% and % Points

 

Exports
M ∆%

Exports 12 M ∆%

Imports
M ∆%

Imports 12 M ∆%

USA

-0.2 Apr

2.8

Jan-Apr

1.2 Apr

2.8

Jan-Apr

Japan

 

May 2014

-2.7

Apr 2014

5.1

Mar 2014

1.8

Feb 2014

9.5

Jan 2014

9.5

Dec 2013

15.3

Nov 2013

18.4

Oct 2013

18.6

Sep 2013

11.5

Aug 2013

14.7

Jul 2013

12.2

Jun 2013 7.4

May 2013

10.1

Apr 2013

3.8

Mar 2013

1.1

Feb 2013

-2.9

Jan 2013 6.4

Dec -5.8

Nov -4.1

Oct -6.5

Sep -10.3

Aug -5.8

Jul -8.1

 

May 2014

-3.6

Apr 2013

3.4

Mar 2014

18.1

Feb 2014

9.0

Jan 2014

25.0

Dec 2013 24.7

Nov 2013

21.1

Oct 2013

26.1

Sep 2013

16.5

Aug 2013

16.0

Jul 2013

19.6

Jun 2013

11.8

May 2013

10.0

Apr 2013

9.4

Mar 2013

5.5

Feb 2013

7.3

Jan 2013 7.3

Dec 1.9

Nov 0.8

Oct -1.6

Sep 4.1

Aug -5.4

Jul 2.1

China

 

2014

7.0 May

0.9 Apr

-6.6 Mar

-18.1 Feb

10.6 Jan

2013

4.3 Dec

12.7 Nov

5.6 Oct

-0.3 Sep

7.2 Aug

5.1 Jul

-3.1 Jun

1.0 May

14.7 Apr

10.0 Mar

21.8 Feb

25.0 Jan

 

2014

-1.6 May

-0.8 Apr

-11.3 Mar

10.1 Feb

10.0 Jan

2013

8.3 Dec

5.3 Nov

7.6 Oct

7.4 Sep

7.0 Aug

10.9 Jul

-0.7 Jun

-0.3 May

16.8 Apr

14.1 Mar

-15.2 Feb

28.8 Jan

Euro Area

-1.5 12-M Apr

0.5 Jan-Apr

-2.8 12-M Apr

-0.6 Jan-Apr

Germany

3.0 Apr CSA

-0.2 Apr

0.1 Apr CSA

0.6 Apr

France

Mar

-0.7

-6.4

-2.9

-5.5

Italy Apr

0.4

2.0

-0.6

-2.9

UK

-2.9 Apr

-2.9 Feb-Apr 14 /Feb-Apr 13

0.6 Apr

-3.7 Feb-Apr 14 13/Feb-Apr 13

Net Trade % Points GDP Growth

% Points

     

USA

IQ2014

-0.95

IVQ2013

0.99

IIIQ2013

0.14

IIQ2013

-0.07

IQ2013

-0.28

IVQ2012 +0.68

IIIQ2012

-0.03

IIQ2012 +0.10

IQ2012 +0.44

     

Japan

0.4

IQ2012

-1.3 IIQ2012

-2.2 IIIQ2012

-0.5 IVQ2012

1.7

IQ2013

0.5

IIQ2013

-2.0

IIIQ2013

-2.2

IVQ2013

-1.1

IQ2014

     

Germany

IQ2012

0.8 IIQ2012 0.4 IIIQ2012 0.3 IVQ2012

-0.5

IQ2013

-0.3 IIQ2013

0.1

IIIQ2013

-0.5

IVQ2013

0.4

IQ2014

0.1

     

France

0.1 IIIQ2012

0.1 IVQ2012

-0.1 IQ2013

0.2

IIQ2013 -0.5

IIIQ2013

0.3

IVQ2013

-0.2

IQ2014

     

UK

-0.7 IQ2012

-0.8 IIQ2012

+0.9

IIIQ2012

-0.4 IVQ2012

0.5

IQ2013

0.0

IIQ2013

-1.1

IIIQ2013

1.0

IVQ2013

0.0

IQ2014

     

Sources: Country Statistical Agencies http://www.census.gov/foreign-trade/ http://www.bea.gov/iTable/index_nipa.cfm

The geographical breakdown of exports and imports of Japan with selected regions and countries is provided in Table V-4 for May 2014. The share of Asia in Japan’s trade is more than one-half for 55.1 percent of exports and 45.2 percent of imports. Within Asia, exports to China are 18.7 percent of total exports and imports from China 21.8 percent of total imports. While exports to China increased 0.4 percent in the 12 months ending in May 2014, imports from China decreased 0.5 percent. The second largest export market for Japan in May 2014 is the US with share of 18.0 percent of total exports, which is close to that of China, and share of imports from the US of 9.4 percent in total imports. Japan’s exports to the US fell 2.8 percent in the 12 months ending in May 2014 and imports from the US fell 0.5 percent. Western Europe has share of 11.1 percent in Japan’s exports and of 10.9 percent in imports. Rates of growth of exports of Japan in May 2014 are minus 2.8 percent for exports to the US, minus 10.7 percent for exports to Brazil and 22.5 percent for exports to Germany. Comparisons relative to 2011 may have some bias because of the effects of the Tōhoku or Great East Earthquake and Tsunami of Mar 11, 2011. Deceleration of growth in China and the US and threat of recession in Europe can reduce world trade and economic activity. Growth rates of imports in the 12 months ending in May 2014 are mixed. Imports from Asia decreased 1.2 percent in the 12 months ending in May 2014 while imports from China decreased 2.7 percent. Data are in millions of yen, which may have effects of recent depreciation of the yen relative to the United States dollar (USD).

Table V-4, Japan, Value and 12-Month Percentage Changes of Exports and Imports by Regions and Countries, ∆% and Millions of Yen

May 2014

Exports
Millions Yen

12 months ∆%

Imports Millions Yen

12 months ∆%

Total

5,607,581

-2.7

6,516,544

-3.6

Asia

3,087,914

% Total 55.1

-3.4

2,945,032 % Total 45.2

-1.2

China

1,049,696

% Total 18.7

0.4

1,419,105 % Total 21.8

-2.7

USA

1,010,694

% Total 18.0

-2.8

611,193 % Total

9.4

-0.5

Canada

59,414

-14.2

101,133

-9.3

Brazil

41,339

-10.7

75,075

-28.9

Mexico

81,962

3.3

47,485

22.4

Western Europe

622,770 % Total 11.1

15.2

709,880 % Total 10.9

6.1

Germany

165,641

22.5

192,516

7.1

France

47,659

-1.7

88,854

1.2

UK

92,016

3.6

52,249

-13.6

Middle East

215,002

10.9

1,102,296

-10.5

Australia

104,308

-30.4

391,700

-12.8

Source: Japan, Ministry of Finance http://www.customs.go.jp/toukei/info/index_e.htm

World trade projections of the IMF are in Table V-6. There is increasing growth of the volume of world trade of goods and services from 3.0 percent in 2013 to 5.3 percent in 2015 and 5.7 percent on average from 2016 to 2019. World trade would be slower for advanced economies while emerging and developing economies (EMDE) experience faster growth. World economic slowdown would be more challenging with lower growth of world trade.

Table V-6, IMF, Projections of World Trade, USD Billions, USD/Barrel and Annual ∆%

 

2013

2014

2015

Average ∆% 2016-2019

World Trade Volume (Goods and Services)

3.0

4.3

5.3

5.7

Exports Goods & Services

3.1

4.5

5.3

5.7

Imports Goods & Services

2.9

4.2

5.2

5.7

World Trade Value of Exports Goods & Services USD Billion

23,083

23,990

25,123

Average ∆% 2006-2015

20,390

Value of Exports of Goods USD Billion

18,591

19,281

20,132

Average ∆% 2006-2015

16,396

Average Oil Price USD/Barrel

104.07

104.17

97.92

Average ∆% 2006-2015

88.84

Average Annual ∆% Export Unit Value of Manufactures

-1.1

-0.3

-0.4

Average ∆% 2006-2015

1.4

Exports of Goods & Services

2013

2014

2015

Average ∆% 2016-2019

Euro Area

1.4

3.4

4.2

4.7

EMDE

4.4

5.0

6.2

6.2

G7

1.4

3.9

4.5

4.9

Imports Goods & Services

       

Euro Area

0.3

2.8

3.5

4.7

EMDE

5.6

5.2

6.3

6.4

G7

1.1

3.2

4.2

4.9

Terms of Trade of Goods & Services

       

Euro Area

-0.3

-0.2

-0.7

-0.1

EMDE

0.7

-0.4

-0.6

-0.4

G7

0.7

-0.044

0.3

0.0

Terms of Trade of Goods

       

Euro Area

0.8

-0.044

0.1

-0.2

EMDE

-0.6

-0.9

-0.9

-0.8

G7

-0.1

-0.3

-0.9

-0.7

Notes: Commodity Price Index includes Fuel and Non-fuel Prices; Commodity Industrial Inputs Price includes agricultural raw materials and metal prices; Oil price is average of WTI, Brent and Dubai

Source: International Monetary Fund World Economic Outlook databank

http://www.imf.org/external/ns/cs.aspx?id=28

The JP Morgan Global All-Industry Output Index of the JP Morgan Manufacturing and Services PMI, produced by JP Morgan and Markit in association with ISM and IFPSM, with high association with world GDP, increased to 54.3 in May from 52.8 in Apr, indicating expansion at faster rate (http://www.markiteconomics.com/Survey/PressRelease.mvc/e4a3e6a323e44c3f9d5a30c1d2c99a59). This index has remained above the contraction territory of 50.0 during 58 consecutive months. The employment index increased from 51.2 in Apr to 51.7 in May with input prices rising at faster rate, new orders increasing at faster rate and output increasing at faster rate (http://www.markiteconomics.com/Survey/PressRelease.mvc/e4a3e6a323e44c3f9d5a30c1d2c99a59). David Hensley, Director of Global Economics Coordination at JP Morgan finds possible higher growth in the second half of the year (http://www.markiteconomics.com/Survey/PressRelease.mvc/e4a3e6a323e44c3f9d5a30c1d2c99a59). The JP Morgan Global Manufacturing PMI, produced by JP Morgan and Markit in association with ISM and IFPSM, increased at 52.2 in May from 51.9 in Apr (http://www.markiteconomics.com/Survey/PressRelease.mvc/fe712f3189ef4f73910514ced33c78d1). New export orders expanded for the eleventh consecutive month (http://www.markiteconomics.com/Survey/PressRelease.mvc/fe712f3189ef4f73910514ced33c78d1). David Hensley, Director of Global Economic Coordination at JP Morgan finds improvement of the index with possibly higher growth in the second half of 2014 (http://www.markiteconomics.com/Survey/PressRelease.mvc/fe712f3189ef4f73910514ced33c78d1). The HSBC Brazil Composite Output Index, compiled by Markit, decreased from 49.9 in Apr to 49.8 in May, indicating unchanged activity of Brazil’s private sector (http://www.markiteconomics.com/Survey/PressRelease.mvc/1b1eac66368b4c93b0488de12835096a). The HSBC Brazil Services Business Activity index, compiled by Markit, increased from 50.4 in Apr to 50.6 in May, indicating expanding services activity (http://www.markiteconomics.com/Survey/PressRelease.mvc/1b1eac66368b4c93b0488de12835096a). André Loes, Chief Economist, Brazil, at HSBC, finds risks of slowing economic activity (http://www.markiteconomics.com/Survey/PressRelease.mvc/1b1eac66368b4c93b0488de12835096a). The HSBC Brazil Purchasing Managers’ IndexTM (PMI) decreased marginally from 49.3 in Apr to 48.8 in May, indicating moderate deterioration in manufacturing (http://www.markiteconomics.com/Survey/PressRelease.mvc/3b3a43fb381f4a8bb8f3f6b86953a877). André Loes, Chief Economist, Brazil at HSBC, finds weakening industrial activity in Brazil (http://www.markiteconomics.com/Survey/PressRelease.mvc/3b3a43fb381f4a8bb8f3f6b86953a877).

VA United States. The Markit Flash US Manufacturing Purchasing Managers’ Index (PMI) seasonally adjusted increased to 56.2 in May from 55.4 in Apr (http://www.markiteconomics.com/Survey/PressRelease.mvc/1132ab4261d34b5a9194a1c5aed2ddad). New export orders registered 51.5 in May, decreasing from 51.7 in Apr, indicating expansion at a slower rate. Chris Williamson, Chief Economist at Markit, finds that manufacturing hiring is growing with creation of about 15,000 to 20,000 jobs per month and output increasing at the fastest pace in more than three years (http://www.markiteconomics.com/Survey/PressRelease.mvc/1132ab4261d34b5a9194a1c5aed2ddad). The Markit Flash US Services PMI™ Business Activity Index increased from 55.0 in Apr to 58.4 in May (http://www.markiteconomics.com/Survey/PressRelease.mvc/772f9f410a674dc28ef47cfce6cc9ab1). Tim Moore, Senior Economist at Markit, finds that the surveys are consistent with stronger growth in IIQ2014 (http://www.markiteconomics.com/Survey/PressRelease.mvc/772f9f410a674dc28ef47cfce6cc9ab1). The Markit US Composite PMI™ Output Index of Manufacturing and Services increased to 58.4 in May from 55.6 in Apr (http://www.markiteconomics.com/Survey/PressRelease.mvc/79ce2aae785c47a4b99b1233d757b169). The Markit US Services PMI™ Business Activity Index increased from 55.0 in Apr to 58.1 in May (http://www.markiteconomics.com/Survey/PressRelease.mvc/79ce2aae785c47a4b99b1233d757b169). Chris Williamson, Chief Economist at Markit, finds the indexes consistent with US growth at annual rate of 3.0 percent in IIQ2014 (http://www.markiteconomics.com/Survey/PressRelease.mvc/79ce2aae785c47a4b99b1233d757b169). The Markit US Manufacturing Purchasing Managers’ Index (PMI) increased to 56.4 in May from 55.4 in Apr, which indicates expansion at faster rate (http://www.markiteconomics.com/Survey/PressRelease.mvc/4de925caab7141c9ab46942a017cba27). The index of new exports orders increased from 51.7 in Apr to 52.2 in May while total new orders decreased from 58.9 in Apr to 58.8 in May. Chris Williamson, Chief Economist at Markit, finds that the index suggests output growth at the fastest pace since the Global Recession (http://www.markiteconomics.com/Survey/PressRelease.mvc/4de925caab7141c9ab46942a017cba27). The purchasing managers’ index (PMI) of the Institute for Supply Management (ISM) Report on Business® increased 0.5 percentage points from 54.9 in Apr to 55.4 in May, which indicates growth at a faster rate (http://www.ism.ws/ISMReport/MfgROB.cfm?navItemNumber=12942). The index of new orders increased 1.8 percentage points from 55.1 in Apr to 56.9 in May. The index of exports decreased 0.5 percentage point from 57.0 in Apr to 56.5 in May, growing at a slower rate. The Non-Manufacturing ISM Report on Business® PMI increased 1.1 percentage points from 55.2 in Apr to 56.3 in May, indicating growth of business activity/production during 58 consecutive months, while the index of new orders increased 2.3 percentage points from 58.2 in Apr to 60.5 in May (http://www.ism.ws/ISMReport/NonMfgROB.cfm?navItemNumber=12943). Table USA provides the country economic indicators for the US.

Table USA, US Economic Indicators

Consumer Price Index

May 12 months NSA ∆%: 2.0; ex food and energy ∆%: 2.0 May month SA ∆%: 0.4; ex food and energy ∆%: 0.3
Blog 6/22/14

Producer Price Index

Finished Goods

May 12-month NSA ∆%: 2.4; ex food and energy ∆% 1.8
May month SA ∆% = 0.0; ex food and energy ∆%: 0.1

Final Demand

May 12-month NSA ∆%: 2.0; ex food and energy ∆% 2.0
May month SA ∆% = -0.2; ex food and energy ∆%: -0.1
Blog 6/22/14

PCE Inflation

Apr 12-month NSA ∆%: headline 1.6; ex food and energy ∆% 1.4
Blog 6/1/14

Employment Situation

Household Survey: May Unemployment Rate SA 6.3%
Blog calculation People in Job Stress May: 26.6 million NSA, 16.2% of Labor Force
Establishment Survey:
May Nonfarm Jobs +217,000; Private +216,000 jobs created 
May 12-month Average Hourly Earnings Inflation Adjusted ∆%: -0.1
Blog 6/8/14

Nonfarm Hiring

Nonfarm Hiring fell from 63.3 million in 2006 to 54.2 million in 2013 or by 9.1 million
Private-Sector Hiring Apr 2014 5.197 million lower by 0.649 million than 5.846 million in Apr 2005
Blog 6/15/14

GDP Growth

BEA Revised National Income Accounts
IQ2012/IQ2011 ∆%: 3.3

IIQ2012/IIQ2011 2.8

IIIQ2012/IIIQ2011 3.1

IVQ2012/IVQ2011 2.0

IQ2013/IQ2012 1.3

IIQ2013/IIQ2012 1.6

IIIQ2013/IIIQ2012 2.0

IVQ2013/IVQ2012 2.6

IQ2014/IQ2013 2.0

IQ2012 SAAR 3.7

IIQ2012 SAAR 1.2

IIIQ2012 SAAR 2.8

IVQ2012 SAAR 0.1

IQ2013 SAAR 1.1

IIQ2013 SAAR 2.5

IIIQ2013 SAAR 4.1

IVQ2013 SAAR 2.6

IQ2014 SAAR -1.0
Blog 6/1/14

Real Private Fixed Investment

SAAR IQ2014 minus 2.3 ∆% IVQ2007 to IQ2014: minus 3.5% Blog 6/1/14

Corporate Profits

IQ2014 SAAR: Corporate Profits -9.8; Undistributed Profits -19.0 Blog 6/1/14

Personal Income and Consumption

Apr month ∆% SA Real Disposable Personal Income (RDPI) SA ∆% 0.2
Real Personal Consumption Expenditures (RPCE): minus 0.3
12-month Apr NSA ∆%:
RDPI: 2.0; RPCE ∆%: 2.7
Blog 6/1/14

Quarterly Services Report

IQ14/IQ13 NSA ∆%:
Information 5.8

Financial & Insurance 5.3
Blog 6/15/14

Employment Cost Index

Compensation Private IQ2014 SA ∆%: 0.3
Mar 12 months ∆%: 1.7
Blog 5/4/14

Industrial Production

May month SA ∆%: 0.6
May 12 months SA ∆%: 4.3

Manufacturing May SA ∆% 0.6 May 12 months SA ∆% 3.6, NSA 3.6
Capacity Utilization: 79.1
Blog 6/22/14

Productivity and Costs

Nonfarm Business Productivity IQ2014∆% SAAE -3.2; IQ2014/IQ2013 ∆% 1.0; Unit Labor Costs SAAE IQ2014 ∆% 5.7; IQ2014/IQ2013 ∆%: 1.2

Blog 6/8/2014

New York Fed Manufacturing Index

General Business Conditions From May 19.01 to Jun 19.28
New Orders: From May 10.44 to Jun 18.36
Blog 6/22/14

Philadelphia Fed Business Outlook Index

General Index from May 15.4 to Jun 17.8
New Orders from May 10.5 to Jun 16.8
Blog 6/22/14

Manufacturing Shipments and Orders

New Orders SA Apr ∆% 0.7 Ex Transport 0.5

Jan-Apr NSA New Orders ∆% 2.8 Ex transport 1.9
Blog 6/8/14

Durable Goods

Apr New Orders SA ∆%: 0.8; ex transport ∆%: 0.1
Jan-Apr 14/Jan-Apr 13 New Orders NSA ∆%: 4.9; ex transport ∆% 3.3
Blog 6/1/14

Sales of New Motor Vehicles

Jan-May 2014 6,742,948; Jan-May 2013 6,424,707. May 14 SAAR 16.77 million, Apr 14 SAAR 16.04 million, May 2013 SAAR 15.48 million

Blog 6/8/14

Sales of Merchant Wholesalers

Jan-Apr 2014/Jan-Apr 2013 NSA ∆%: Total 5.2; Durable Goods: 4.0; Nondurable
Goods: 6.2
Blog 6/15/14

Sales and Inventories of Manufacturers, Retailers and Merchant Wholesalers

Apr 14 12-M NSA ∆%: Sales Total Business 5.6; Manufacturers 3.8
Retailers 5.7; Merchant Wholesalers 7.6
Blog 6/15/14

Sales for Retail and Food Services

Jan-May 2014/Jan-May 2013 ∆%: Retail and Food Services 3.4; Retail ∆% 3.3
Blog 6/15/14

Value of Construction Put in Place

Apr SAAR month SA ∆%: 0.2 Apr 12-month NSA: 8.1
Blog 6/8/14

Case-Shiller Home Prices

Mar 2014/Mar 2013 ∆% NSA: 10 Cities 12.6; 20 Cities: 12.4
∆% Mar SA: 10 Cities 1.1 ; 20 Cities: 1.2
Blog 6/1/14

FHFA House Price Index Purchases Only

Mar SA ∆% 0.7;
12 month NSA ∆%: 6.5
Blog 6/1/14

New House Sales

Apr 2014 month SAAR ∆%: 6.4
Jan-Apr 2014/Jan-Apr 2013 NSA ∆%: -2.6
Blog 5/25/14

Housing Starts and Permits

May Starts month SA ∆% minus 6.5; Permits ∆%: minus 6.4
Jan-May 2014/Jan-May 2013 NSA ∆% Starts 6.5; Permits  ∆% 1.0
Blog 6/22/14

Trade Balance

Balance Apr SA -$47,236 million versus Mar -$44,176 million
Exports Apr SA ∆%: -0.2 Imports Apr SA ∆%: 1.2
Goods Exports Jan-Apr 2014/Jan-Apr 2013 NSA ∆%: 2.8
Goods Imports Jan-Apr 2014/Jan-Apr 2012 NSA ∆%: 2.8
Blog 6/8/14

Export and Import Prices

May 12-month NSA ∆%: Imports 0.4; Exports 0.5
Blog 6/15/14

Consumer Credit

Apr ∆% annual rate: Total 10.2; Revolving 12.3; Nonrevolving 9.5
Blog 6/15/14

Net Foreign Purchases of Long-term Treasury Securities

Apr Net Foreign Purchases of Long-term US Securities: minus $24.2 billion
Major Holders of Treasury Securities: China $1263 billion; Japan $1210 billion; Total Foreign US Treasury Holdings Apr $5961 billion
Blog 6/22/14

Treasury Budget

Fiscal Year 2014/2013 ∆% May: Receipts 7.5; Outlays minus 2.3; Individual Income Taxes 3.3
Deficit Fiscal Year 2011 $1,300 billion

Deficit Fiscal Year 2012 $1,087 billion

Deficit Fiscal Year 2013 $680 billion

Blog 6/15/2014

CBO Budget and Economic Outlook

2012 Deficit $1087 B 6.8% GDP Debt 11,281 B 70.1% GDP

2013 Deficit $680 B, 4.1% GDP Debt 11,982 B 72.1% GDP Blog 8/26/12 11/18/12 2/10/13 9/22/13 2/16/14

Commercial Banks Assets and Liabilities

Apr 2014 SAAR ∆%: Securities 3.7 Loans 8.3 Cash Assets 2.2 Deposits 9.3

Blog 5/25/14

Flow of Funds

IVQ2013 ∆ since 2007

Assets +$12,272.6 BN

Nonfinancial -$729.2 BN

Real estate -$1380.6 BN

Financial +13,001.7 BN

Net Worth +$12,910.9 BN

Blog 3/16/14

Current Account Balance of Payments

IQ2014 -86,131 MM

% GDP 2.6

Blog 6/22/14

Links to blog comments in Table USA:

6/15/2014 http://cmpassocregulationblog.blogspot.com/2014/06/financialgeopolitical-risks-recovery.html

6/8/14 http://cmpassocregulationblog.blogspot.com/2014/06/financial-risks-rules-discretionary.html

6/1/14 http://cmpassocregulationblog.blogspot.com/2014/06/financial-instability-mediocre-cyclical.html

5/25/14 http://cmpassocregulationblog.blogspot.com/2014/05/united-states-commercial-banks-assets.html

5/4/2014 http://cmpassocregulationblog.blogspot.com/2014/05/financial-volatility-mediocre-cyclical.html

3/16/2014 http://cmpassocregulationblog.blogspot.com/2014/03/global-financial-risks-recovery-without.html

2/16/14 http://cmpassocregulationblog.blogspot.com/2014/02/theory-and-reality-of-cyclical-slow.html

9/22/13 http://cmpassocregulationblog.blogspot.com/2013/09/duration-dumping-and-peaking-valuations.html

2/10/13 http://cmpassocregulationblog.blogspot.com/2013/02/united-states-unsustainable-fiscal.html

Seasonally adjusted annual rates (SAAR) of housing starts and permits are shown in Table VA-1. Housing starts decreased 6.5 percent in May 2014 after wide oscillations that included increases of 12.7 percent in Apr, 2.4 percent in Mar, 3.5 percent in Feb, decrease of 13.3 percent in Jan, increase of 18.1 percent in Nov, decline of 14.7 percent in Apr 2013 and 9.2 percent in Jun 2013. Housing starts increased 9.4 percent from the SAAR of 915 in May 2013 to the SAAR of 1001 in May 2014. Housing permits, indicating future activity, decreased 6.4 percent in May 2014 also after significant oscillations in 2013 with decrease of 1.9 percent from 1010 SSAR in May 2013 to SSAR of 991 in May 2014. While single unit houses starts increased 3.7 percent in May 2014, seasonally adjusted, structures with five units or more decreased 20.4 percent. Multifamily residential construction is increasing at a faster rate than single-family construction with wide monthly oscillations. Monthly rates in starts and permits fluctuate significantly as shown in Table VA-1.

Table VA-1, US, Housing Starts and Permits SSAR Month ∆%

 

Housing 
Starts SAAR

Month ∆%

Housing
Permits SAAR

Month ∆%

May 2014

1001

-6.5

991

-6.4

Apr

1071

12.7

1059

5.9

Mar

950

2.4

1000

-1.1

Feb

928

3.5

1011

7.7

Jan

897

-13.3

939

-8.1

Dec 2013

1034

-6.4

1022

-1.4

Nov

1105

18.1

1037

-2.8

Oct

936

8.5

1067

7.5

Sep

863

-2.5

993

4.7

Aug

885

-1.4

948

-3.0

Jul

898

8.1

977

4.2

Jun

831

-9.2

938

-7.1

May

915

7.9

1010

-2.9

Apr

848

-14.7

1040

12.3

Mar

994

4.5

926

-5.1

Feb

951

6.1

976

3.1

Jan

896

23.9

947

1.0

Dec 2012

976

-8.2

938

0.9

Nov

833

-9.0

930

3.9

Oct

915

8.0

895

-2.8

Sep

847

12.3

921

10.7

Aug

754

1.9

832

-0.9

Jul

740

-2.2

840

6.3

Jun

757

6.9

790

-2.1

May

708

-6.0

807

8.0

Apr

753

8.3

747

-6.3

Mar

695

-1.3

797

8.7

Feb

704

-2.6

733

2.5

Jan

723

4.2

715

2.6

Dec 2011

694

-2.4

697

-1.3

Nov

711

16.6

706

5.2

Oct

610

-6.2

671

10.0

Sep

650

11.1

610

-5.7

Aug

585

-6.1

647

4.2

Jul

623

2.5

621

-2.4

Jun

608

8.4

636

2.9

May

561

1.3

618

6.4

Apr

554

-7.7

581

-0.3

Mar

600

16.1

583

7.6

Feb

517

-17.9

542

-5.9

Jan

630

16.9

576

-8.9

Dec 2010

539

-1.1

632

12.9

Nov

545

0.4

560

0.4

Oct

543

-8.6

558

-0.9

Sep

594

-0.8

563

-2.9

SAAR: Seasonally Adjusted Annual Rate

Source: US Census Bureau http://www.census.gov/construction/nrc/

Housing starts and permits in Jan-May not-seasonally adjusted are in Table VA-2. Housing starts increased 6.5 percent in Jan-May 2014 relative to Jan-May 2013 and new permits increased 1.0 percent. Construction of new houses in the US remains at very depressed levels. Housing starts fell 51.4 percent in Jan-May 2014 relative to Jan-May 2006 and fell 52.3 percent relative to Jan-May 2005. Housing permits fell 52.5 percent in Jan-May 2014 relative to Jan-May 2006 and fell 53.2 percent relative to Jan-May 2005.

Table VA-2, US, Housing Starts and New Permits, Thousands of Units, NSA, and %

 

Housing Starts

New Permits

Jan-May 2014

395.9

404.9

Jan-May 2013

371.6

401.0

∆% Jan-May 2014/Jan-May 2013

6.5

1.0

Jan-May 2006

814.7

852.3

∆% Jan-May 2014/Jan-May 2006

-51.4

-52.5

Jan-May 2005

830.7

865.9

∆% Jan-May 2014/Jan-May 2005

-52.3

-53.2

Source: US Census Bureau http://www.census.gov/construction/nrc/

Chart VA-1 of the US Census Bureau shows the sharp increase in construction of new houses from 2000 to 2006. Housing construction fell sharply through the recession, recovering from the trough around IIQ2009. The right-hand side of Chart VA-1 shows a mild downward trend or stagnation from mid-2010 to the present in single-family houses with a recent mild upward trend in recent months in the category of two or more units but marginal decline in some recent months. While single unit houses starts decreased 2.5 percent in Jan-May 2014 relative to a year earlier, not seasonally adjusted, structures with two to four units decreased 28.1 percent and with five units or more increased 17.0 percent. Single unit houses were 66.8 percent of total housing starts in 2013, increasing 15.4 percent relative to 2012, while construction of five units of more were 31.8 percent, increasing 25.6 percent, and construction of two to four units were 1.5 percent of the total, increasing 19.3 percent.

clip_image002

Chart VA-1, US, Total and Single-Family New Housing Units Started in the US, SAAR (Seasonally Adjusted Annual Rate)

Source: US Census Bureau

http://www.census.gov/briefrm/esbr/www/esbr020.html

Table VA-3 provides new housing units that started in the US at seasonally adjusted annual rates (SAAR) from Oct to Dec and from Jan to Apr of the years from 2000 to 2014. SAARs have dropped from high levels around 2 million in 2005-2006 to the range of 848,000 in Apr 2013 to 1,034,000 in Dec 2013 and 1,001,000 in May 2014, which is an improvement over the range of 517,000 in Feb 2011 to 711,000 in Nov 2011. Improvement continued with 1,034,000 in Dec 2013 relative to 976,000 in Dec 2012. The rate of housing starts increased to 1,001,000 in May 2014 relative to 915,000 in May 2013.

Table VA-3, US, New Housing United Started at Seasonally Adjusted Rates, Thousand Units

Year

Jan

Feb

Mar

Apr

May

Nov

Dec

2000

1,636

1,737

1,604

1,626

1,575

1,551

1,532

2001

1,600

1,625

1,590

1,649

1,605

1,602

1,568

2002

1,698

1,829

1,642

1,592

1,764

1,753

1,788

2003

1,853

1,629

1,726

1,643

1,751

2,083

2,057

2004

1,911

1,846

1,998

2,003

1,981

1,782

2,042

2005

2,144

2,207

1,864

2,061

2,025

2,147

1,994

2006

2,273

2,119

1,969

1,821

1,942

1,570

1,649

2007

1,409

1,480

1,495

1,490

1,415

1,197

1,037

2008

1,084

1,103

1,005

1,013

973

652

560

2009

490

582

505

478

540

588

581

2010

614

604

636

687

583

545

539

2011

630

517

600

554

561

711

694

2012

723

704

695

753

708

833

976

2013

896

951

994

848

915

1,105

1,034

2014

897

928

950

1,071

1,001

NA

NA

Source: US Census Bureau http://www.census.gov/construction/nrc/

Chart VA-2 of the US Census Bureau provides construction of new housing units started in the US at seasonally adjusted annual rate (SAAR) from Jan 1959 to May 2014 that helps to analyze in historical perspective the debacle of US new house construction. There are three periods in the series. (1) There is stationary behavior with wide fluctuations from 1959 to the beginning of the decade of the 1970s. (2) There is sharp upward trend from the 1990s to 2006 propelled by the US housing subsidy, politics of Fannie Mae and Freddie Mac and unconventional monetary policy of near zero interest rates from Jun 2003 to Jun 2004 and suspension of the auction of 30-year Treasury bonds intended to lower mortgage rates. 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. (3) There is insufficient recovery during the weak expansion after IIIQ2009.

clip_image003

Chart VA-2, US, New Housing Units Started in the US, SAAR (Seasonally Adjusted Annual Rate), Thousands of Units, Jan 1959-May 2014

Source: US Census Bureau http://www.census.gov/construction/nrc/

Table VA-4 provides actual new housing units started in the US, not seasonally adjusted, from Nov to Dec and from Jan to May in the years from 2000 to 2014. The number of housing units started fell from the peak of 197.9 thousand in May 2005 to 67.6 thousand in Dec 2013 or decline of 65.8 percent in large part because of lower seasonal activity at the end of the year. The number of housing units started jumped from 67.8 thousand in May 2012 to 94.2 thousand in May 2014 or by 38.9 percent and increased 74.4 percent from 54.0 thousand in May 2011. The number of housing units started increased from 87.2 thousand in May 2013 to 94.2 thousand in May 2014 or 8.0 percent.

Table VA-4, New Housing Units Started in the US, Not Seasonally Adjusted, Thousands of Units

Year

Jan

Feb

Mar

Apr

May

Nov

Dec

2000

104.0

119.7

133.4

149.5

152.9

117.1

100.7

2001

106.4

108.2

133.2

151.3

154.0

121.0

104.6

2002

110.4

120.4

138.2

148.8

165.5

133.0

123.1

2003

117.8

109.7

147.2

151.2

165.0

153.7

144.2

2004

124.5

126.4

173.8

179.5

187.6

138.1

140.2

2005

142.9

149.1

156.2

184.6

197.9

160.7

136.0

2006

153.0

145.1

165.9

160.5

190.2

115.2

112.4

2007

95.0

103.1

123.8

135.6

136.5

88.8

68.9

2008

70.8

78.4

82.2

89.5

91.7

47.5

37.7

2009

31.9

39.8

42.7

42.5

52.2

42.3

36.6

2010

38.9

40.7

54.7

62.0

56.2

40.6

33.8

2011

40.2

35.4

49.9

49.0

54.0

53.0

42.7

2012

47.2

49.7

58.0

66.8

67.8

62.2

63.2

2013

58.7

66.1

83.3

76.3

87.2

83.8

67.6

2014

60.7

65.1

80.2

95.7

94.2

NA

NA

Source: US Census Bureau http://www.census.gov/construction/nrc/

Chart VA-3 of the US Census Bureau provides new housing units started in the US not seasonally adjusted (NSA) from Jan 1959 to Apr 2014. There is the same behavior as in Chart VA-2 SA but with sharper fluctuations in the original series without seasonal adjustment. There are the same three periods. (1) The series is virtually stationary with wide fluctuations from 1959 to the late 1980s. (2) There is downward trend during the savings and loans crisis of the 1980s. Benston and Kaufman (1997, 139) find that there was failure of 1150 US commercial and savings banks between 1983 and 1990, or about 8 percent of the industry in 1980, which is nearly twice more than between the establishment of the Federal Deposit Insurance Corporation in 1934 through 1983. More than 900 savings and loans associations, representing 25 percent of the industry, were closed, merged or placed in conservatorships (see Pelaez and Pelaez, Regulation of Banks and Finance (2008b), 74-7). The Financial Institutions Reform, Recovery and Enforcement Act of 1989 (FIRREA) created the Resolution Trust Corporation (RTC) and the Savings Association Insurance Fund (SAIF) that received $150 billion of taxpayer funds to resolve insolvent savings and loans. The GDP of the US in 1989 was $4346.7 billion (http://www.bea.gov/iTable/index_nipa.cfm), such that the partial cost to taxpayers of that bailout was around 3.45 percent of GDP in a year. US GDP in 2013 is estimated at $16,799.7 billion, such that the bailout would be equivalent to cost to taxpayers of about $579.6 billion in current GDP terms. A major difference with the Troubled Asset Relief Program (TARP) for private-sector banks is that most of the costs were recovered with interest gains whereas in the case of savings and loans there was no recovery. (3) There is vertical drop of new housing construction in the US during the global recession from (Dec) IVQ2007 to (Jun) IIQ2009 (http://www.nber.org/cycles/cyclesmain.html). The final segment shows upward trend but it could be simply part of yet another fluctuation. Marginal improvement in housing in the US should not obscure the current depressed levels relative to earlier periods.

clip_image004

Chart VA-3, US, New Housing Units Started in the US, Not Seasonally Adjusted, Thousands of Units, Jan 1959-May 2014

Source: US Census Bureau http://www.census.gov/construction/nrc/

Chart VA-4 of the US Census Bureau provides single-family houses started without seasonal adjustment. There was sharp increase from 1992 to 2007 followed by sharp decline. The recovery is sluggish.

clip_image005

Chart VA-4, US, Single-family Houses Started, Thousands of Units, Jan-1959-May 2014, NSA

Source: US Census Bureau http://www.census.gov/construction/nrc

Chart VA-5 of the US Census Bureau provides housing units started with five units or more. Construction was stagnant before the drop in the global recession. Recovery is stronger than in the case of single-family units.

clip_image006

Chart VA-5, US, Housing Units Stated in Buildings with Five Units or More, Thousands of Units, Jan-1959-May 2014, NSA

Source: US Census Bureau http://www.census.gov/construction/nrc/

A longer perspective on residential construction in the US is provided by Table VA-5 with annual data from 1960 to 2013. Housing starts fell 55.3 percent from 2005 to 2013, 41.0 percent from 2000 to 2013 and 35.3 percent relative to the average from 1959 to 1963. Housing permits fell 54.0 percent from 2005 to 2013, 37.8 percent from 2000 to 2013 and 14.5 percent from the average of 1969-1963 to 2013. Housing starts rose 31.8 from 2000 to 2005 while housing permits grew 35.4 percent. From 1990 to 2000, housing starts increased 31.5 percent while permits increased 43.3 percent.

Table VA-5, US, Annual New Privately Owned Housing Units Authorized by Building Permits in Permit-Issuing Places and New Privately Owned Housing Units Started, Thousands

 

Starts

Permits

2013

924.9

990.8

2012

780.6

829.7

∆% 2013/2012

18.5

19.4

∆% 2013/2011

51.9

58.8

∆% 2013/2010

57.6

63.9

∆% 2013/2006

-48.6

-46.1

∆% 2013/2005

-55.3

-54.0

∆% 2013/2000

-41.0

-37.8

∆% 2013/Av 1959-1963

-35.3

-14.5

2011

608.8

624.1

∆% 2012/2005

-62.3

-61.5

∆% 2012/2000

-50.2

-47.9

∆% 2012/Av 1959-1963

-45.4

-28.4

2011

608.8

624.1

2010

586.9

604.6

2009

554.0

583.0

2008

905.5

905.4

2007

1,355,0

1,398.4

2006

1,800.9

1,838.9

2005

2,068.3

2,155.3

∆% 2005/2000

31.8

35.4

2004

1,955.8

2,070.1

2003

1,847.7

1,889.2

2002

1,704.9

1,747.7

2001

1,602.7

1,636.7

2000

1,568.7

1,592.3

∆% 2000/1990

31.5

43.3

1990

1,192,7

1,110.8

1980

1,292.2

1,190.6

1970

1,433.6

1,351.5

Average 1959-63

1,429.7

1,158.2

Source: US Census Bureau

http://www.census.gov/construction/nrc/

VB Japan. The GDP of Japan grew at 1.0 percent per year on average from 1991 to 2002, with the GDP implicit deflator falling at 0.8 percent per year on average. The average growth rate of Japan’s GDP was 4 percent per year on average from the middle of the 1970s to 1992 (Ito 2004). Low growth in Japan in the 1990s is commonly labeled as “the lost decade” (see Pelaez and Pelaez, The Global Recession Risk (2007), 81-115). Table VB-GDP provides yearly growth rates of Japan’s GDP from 1995 to 2013. Growth weakened from 2.7 per cent in 1995 and 1996 to contractions of 1.5 percent in 1999 and 0.4 percent in 2001 and growth rates below 2 percent with exception of 2.3 percent in 2003. Japan’s GDP contracted sharply by 3.7 percent in 2006 and 2.0 percent in 2009. As in most advanced economies, growth was robust at 3.4 percent in 2010 but mediocre at 0.3 percent in 2011 and 0.7 percent in 2013. Japan’s GDP grew 2.3 percent in 2013.

Table VB-GDP, Japan, Yearly Percentage Change of GDP  ∆%

Calendar Year

∆%

1995

2.7

1996

2.7

1997

0.1

1998

-1.5

1999

0.5

2000

2.0

2001

-0.4

2002

1.1

2003

2.3

2004

1.5

2005

1.9

2006

1.8

2007

1.8

2008

-3.7

2009

-2.0

2010

3.4

2011

0.3

2012

0.7

2013

2.3

Source: Source: Japan Economic and Social Research Institute, Cabinet Office

http://www.esri.cao.go.jp/index-e.html

http://www.esri.cao.go.jp/en/sna/sokuhou/sokuhou_top.html

Table VB-BOJF provides the forecasts of economic activity and inflation in Japan by the majority of members of the Policy Board of the Bank of Japan, which is part of their Outlook for Economic Activity and Prices (https://www.boj.or.jp/en/mopo/outlook/gor1404b.pdf). For fiscal 2013, the forecast is of growth of GDP between 2.2 and 2.3 percent, with the all items CPI less fresh food of 0.8 percent (https://www.boj.or.jp/en/mopo/outlook/gor1404b.pdf). The critical difference is forecast of the CPI excluding fresh food of 3.0 to 3.5 percent in 2014, 1.9 to 2.8 percent in 2015 and 2.0 to 3.0 in 2016. Consumer price inflation in Japan excluding fresh food was 0.3 percent in Mar 2013 and 1.3 percent in 12 months (http://www.stat.go.jp/english/data/cpi/1581.htm). The new monetary policy of the Bank of Japan aims to increase inflation to 2 percent. These forecasts are biannual in Apr and Oct. The Cabinet Office, Ministry of Finance and Bank of Japan released on Jan 22, 2013, a “Joint Statement of the Government and the Bank of Japan on Overcoming Deflation and Achieving Sustainable Economic Growth” (http://www.boj.or.jp/en/announcements/release_2013/k130122c.pdf) with the important change of increasing the inflation target of monetary policy from 1 percent to 2 percent:

“The Bank of Japan conducts monetary policy based on the principle that the policy shall be aimed at achieving price stability, thereby contributing to the sound development of the national economy, and is responsible for maintaining financial system stability. The Bank aims to achieve price stability on a sustainable basis, given that there are various factors that affect prices in the short run.

The Bank recognizes that the inflation rate consistent with price stability on a sustainable basis will rise as efforts by a wide range of entities toward strengthening competitiveness and growth potential of Japan's economy make progress. Based on this recognition, the Bank sets the price stability target at 2 percent in terms of the year-on-year rate of change in the consumer price index.

Under the price stability target specified above, the Bank will pursue monetary easing and aim to achieve this target at the earliest possible time. Taking into consideration that it will take considerable time before the effects of monetary policy permeate the economy, the Bank will ascertain whether there is any significant risk to the sustainability of economic growth, including from the accumulation of financial imbalances.”

The Bank of Japan also provided explicit analysis of its view on price stability in a “Background note regarding the Bank’s thinking on price stability” (http://www.boj.or.jp/en/announcements/release_2013/data/rel130123a1.pdf http://www.boj.or.jp/en/announcements/release_2013/rel130123a.htm/). The Bank of Japan also amended “Principal terms and conditions for the Asset Purchase Program” (http://www.boj.or.jp/en/announcements/release_2013/rel130122a.pdf): “Asset purchases and loan provision shall be conducted up to the maximum outstanding amounts by the end of 2013. From January 2014, the Bank shall purchase financial assets and provide loans every month, the amount of which shall be determined pursuant to the relevant rules of the Bank.”

Financial markets in Japan and worldwide were shocked by new bold measures of “quantitative and qualitative monetary easing” by the Bank of Japan (http://www.boj.or.jp/en/announcements/release_2013/k130404a.pdf). The objective of policy is to “achieve the price stability target of 2 percent in terms of the year-on-year rate of change in the consumer price index (CPI) at the earliest possible time, with a time horizon of about two years” (http://www.boj.or.jp/en/announcements/release_2013/k130404a.pdf). The main elements of the new policy are as follows:

  1. Monetary Base Control. Most central banks in the world pursue interest rates instead of monetary aggregates, injecting bank reserves to lower interest rates to desired levels. The Bank of Japan (BOJ) has shifted back to monetary aggregates, conducting money market operations with the objective of increasing base money, or monetary liabilities of the government, at the annual rate of 60 to 70 trillion yen. The BOJ estimates base money outstanding at “138 trillion yen at end-2012) and plans to increase it to “200 trillion yen at end-2012 and 270 trillion yen at end 2014” (http://www.boj.or.jp/en/announcements/release_2013/k130404a.pdf).
  2. Maturity Extension of Purchases of Japanese Government Bonds. Purchases of bonds will be extended even up to bonds with maturity of 40 years with the guideline of extending the average maturity of BOJ bond purchases from three to seven years. The BOJ estimates the current average maturity of Japanese government bonds (JGB) at around seven years. The BOJ plans to purchase about 7.5 trillion yen per month (http://www.boj.or.jp/en/announcements/release_2013/rel130404d.pdf). Takashi Nakamichi, Tatsuo Ito and Phred Dvorak, wiring on “Bank of Japan mounts bid for revival,” on Apr 4, 2013, published in the Wall Street Journal (http://online.wsj.com/article/SB10001424127887323646604578401633067110420.html), find that the limit of maturities of three years on purchases of JGBs was designed to avoid views that the BOJ would finance uncontrolled government deficits.
  3. Seigniorage. The BOJ is pursuing coordination with the government that will take measures to establish “sustainable fiscal structure with a view to ensuring the credibility of fiscal management” (http://www.boj.or.jp/en/announcements/release_2013/k130404a.pdf).
  4. Diversification of Asset Purchases. The BOJ will engage in transactions of exchange traded funds (ETF) and real estate investment trusts (REITS) and not solely on purchases of JGBs. Purchases of ETFs will be at an annual rate of increase of one trillion yen and purchases of REITS at 30 billion yen.
  5. Bank Lending Facility and Growth Supporting Funding Facility. At the meeting on Feb 18, the Bank of Japan doubled the scale of these lending facilities to prevent their expiration in the near future (http://www.boj.or.jp/en/announcements/release_2014/k140218a.pdf).

Table VB-BOJF, Bank of Japan, Forecasts of the Majority of Members of the Policy Board, % Year on Year

Fiscal Year
Date of Forecast

Real GDP

CPI All Items Less Fresh Food

Excluding Effects of Consumption Tax Hikes

2013

     

Apr 2014

+2.2 to +2.3
[+2.2]

+0.8

 

Jan 2014

+2.5 to +2.9

[+2.7]

+0.7 to +0.9

[+0.7]

 

Oct 2013

+2.6 to +3.0

[+2.7]

+0.6 to +1.0

[+0.7]

 

Jul 2013

+2.5 to +3.0

[+2.8]

+0.5 to +0.8

[+0.6]

 

2014

     

Apr 2014

+0.8 to +1.3
[+1.1]

+3.0 to +3.5
[+3.3]

+1.0 to +1.5
[+1.3]

Jan 2014

+0.9 to 1.5

[+1.4]

+2.9 to +3.6

[+3.3]

+0.9 to +1.6

[+1.3]

Oct 2013

+0.9 to +1.5

[+1.5]

+2.8 to +3.6

[+3.3]

+0.8 to +1.6

[+1.3]

Jul 2013

+0.8 to +1.5

[+1.3]

+2.7 to +3.6

[+3.3]

+0.7 to +1.6

[+1.3]

2015

     

Apr 2014

+1.2 to +1.5
[+1.5]

+1.9 to +2.8
[+2.6]

+1.2 to +2.1
[+1.9]

Jan 2014

+1.2 to +1.8

[+1.5]

+1.7 to +2.9

[+2.6]

+1.0 to +2.2

[+1.9]

Oct 2013

+1.3 to +1.8

[+1.5]

+1.6 to +2.9

[+2.6]

+0.9 to +2.2

[+1.9]

Jul 2013

+1.3 to +1.9 [+1.5]

+1.6 to +2.9 [+2.6]

+0.9 to +2.2 [+1.9]

2016

     

Apr 2014

+1.0 to +1.5
[+1.3]

+2.0 to +3.0
[+2.8]

+1.3 to +2.3
[+2.1]

Figures in brackets are the median of forecasts of Policy Board members

Source: Policy Board, Bank of Japan

https://www.boj.or.jp/en/mopo/outlook/gor1404b.pdf

The Markit/JMMA Flash Japan Manufacturing PMI Index™ improved with the Flash Japan Manufacturing PMI™ increasing from 49.4 in Apr to 49.9 in May and the Flash Japan Manufacturing Output Index™ increasing from 46.2 in Apr to 49.2 in May (http://www.markiteconomics.com/Survey/PressRelease.mvc/119c7ec318e2469d9afda80921da4f09). New export orders decreased at a faster rate. Chris Williamson, Chief Economist at Markit, finds stabilizing conditions after the stress from the increase originating in the Apr increase in sales tax with weakening demand from overseas (http://www.markiteconomics.com/Survey/PressRelease.mvc/119c7ec318e2469d9afda80921da4f09). Private-sector activity in Japan contracted with the Markit Composite Output PMI Index increasing from 46.3 in Apr to 49.2 in May, indicating contraction at slower rate (http://www.markiteconomics.com/Survey/PressRelease.mvc/1f89e180a434490a8d8eec09bfca6099). Amy Bronwbill, Economist at Markit and author of the report, finds marginal contraction of private sector activity (http://www.markiteconomics.com/Survey/PressRelease.mvc/1f89e180a434490a8d8eec09bfca6099). The Markit Business Activity Index of Services increased to 49.3 in May from 46.4 in Apr (http://www.markiteconomics.com/Survey/PressRelease.mvc/1f89e180a434490a8d8eec09bfca6099). Amy Brownbill, Ecoomist at Markit and author of the report, finds possible effects from the increase in sales taxes implemented in Apr (http://www.markiteconomics.com/Survey/PressRelease.mvc/1f89e180a434490a8d8eec09bfca6099). The Markit/JMMA Purchasing Managers’ Index (PMI™), seasonally adjusted, increased from 49.4 in Apr to 49.9 in May (http://www.markiteconomics.com/Survey/PressRelease.mvc/54e712e12b75470abeb9f27b3442436b). New orders and output fell because of demand effects caused by the sales tax increase in Apr. Amy Brownbill, Economist at Markit and author of the report, finds continuing decline of output and new orders in May but at slower rates of deterioration (http://www.markiteconomics.com/Survey/PressRelease.mvc/54e712e12b75470abeb9f27b3442436b).Table JPY provides the country data table for Japan.

Table JPY, Japan, Economic Indicators

Historical GDP and CPI

1981-2010 Real GDP Growth and CPI Inflation 1981-2010
Blog 8/9/11 Table 26

Corporate Goods Prices

May ∆% 0.3
12 months ∆% 4.4
Blog 6/15/14

Consumer Price Index

Apr NSA ∆% 2.1; Apr 12 months NSA ∆% 3.4
Blog 6/1/14

Real GDP Growth

IQ2014 ∆%: 1.6 on IVQ2013;  IQ2014 SAAR 6.7;
∆% from quarter a year earlier: 3.0 %
Blog 6/16/13 8/18/13 9/15/13 11/17/13 12/15/13 2/23/14 3/16/14 5/18/14 6/15/14

Employment Report

Apr Unemployed 2.54 million

Change in unemployed since last year: minus 370 thousand
Unemployment rate: 3.6 %
Blog 6/1/14

All Industry Indices

Apr month SA ∆% -4.3
12-month NSA ∆% -1.1

Blog 6/22/14

Industrial Production

Apr SA month ∆%: -2.5
12-month NSA ∆% 4.1
Blog 6/1/14

Machine Orders

Total Apr ∆% 34.8

Private ∆%: -2.1 Apr ∆% Excluding Volatile Orders -9.1
Blog 6/15/14

Tertiary Index

Apr month SA ∆% -5.4
Apr 12 months NSA ∆% minus 2.5
Blog 6/15/14

Wholesale and Retail Sales

Apr 12 months:
Total ∆%: -3.9
Wholesale ∆%: -3.7
Retail ∆%: -4.4
Blog 6/1/14

Family Income and Expenditure Survey

Apr 12-month ∆% total nominal consumption -0.7, real -4.6 Blog 6/1/14

Trade Balance

Exports May 12 months ∆%: minus 2.7 Imports May 12 months ∆% -3.6 Blog 6/22/14

Links to blog comments in Table JPY:

6/15/2014 http://cmpassocregulationblog.blogspot.com/2014/06/financialgeopolitical-risks-recovery.html

6/1/14 http://cmpassocregulationblog.blogspot.com/2014/06/financial-instability-mediocre-cyclical.html

5/18/14 http://cmpassocregulationblog.blogspot.com/2014/05/world-inflation-waves-squeeze-of.html

4/27/14

3/16/2014 http://cmpassocregulationblog.blogspot.com/2014/03/global-financial-risks-recovery-without.html

2/23/14 http://cmpassocregulationblog.blogspot.com/2014/02/squeeze-of-economic-activity-by-carry.html

12/15/13 http://cmpassocregulationblog.blogspot.com/2013/12/theory-and-reality-of-secular.html

11/17/13 http://cmpassocregulationblog.blogspot.com/2013/11/risks-of-unwinding-monetary-policy.html

9/15/13 http://cmpassocregulationblog.blogspot.com/2013/09/recovery-without-hiring-ten-million.html

8/18/13 http://cmpassocregulationblog.blogspot.com/2013/08/duration-dumping-and-peaking-valuations.html

The indices of all industry activity of Japan, which approximates GDP or economic activity, fell to levels close to the worst point of the recession, showing the brutal impact of the Tōhoku or Great East Earthquake and Tsunami of Mar 11, 2011. Table VB-1 with the latest revisions shows the quarterly index, which permits comparison with the movement of real GDP. The first row provides weights of the various components of the index: AG (agriculture) 1.4 percent (not shown), CON (construction) 5.7 percent, IND (industrial production) 18.3 percent, TERT (services) 63.2 percent, and GOVT (government) 11.4 percent. GDP increased 1.6 percent in IQ2014 (Table VB-1 at http://cmpassocregulationblog.blogspot.com/2014/06/financialgeopolitical-risks-recovery.html and earlier http://cmpassocregulationblog.blogspot.com/2014/05/world-inflation-waves-squeeze-of.html), industry increased 3.0 percent, the tertiary sector increased 1.7 percent, government decreased 0.4 percent and construction decreased 2.7 percent. The report shows that the all industry index increased 1.6 percent in IQ2014. Industry added 0.53 percentage points to growth of the all industry index and the tertiary index added 1.11 percentage points. Anticipation of purchases to avoid the increase in the sales tax in Apr 2014 explains unusually high activity in the economy of Japan in IQ2014. Japan had already experienced a very weak quarter in IVQ2010, with decline of GDP of 0.5 percent (Table VB-1 at http://cmpassocregulationblog.blogspot.com/2014/06/financialgeopolitical-risks-recovery.html and earlier http://cmpassocregulationblog.blogspot.com/2014/05/world-inflation-waves-squeeze-of.html), when it was unexpectedly hit by the Tōhoku or Great East Earthquake and Tsunami of Mar 11, 2011. GDP fell 1.8 percent in IQ2011 and 0.6 percent in IIQ2011. GDP changed 0.0 percent in IQ2011 relative to a year earlier and fell 1.5 percent in IIQ2011 relative to a year earlier (Tables VB-1 and VB-4 at http://cmpassocregulationblog.blogspot.com/2014/06/financialgeopolitical-risks-recovery.html and earlier http://cmpassocregulationblog.blogspot.com/2014/05/world-inflation-waves-squeeze-of.html). The all industry activity index fell in all quarters of 2012 with exception of growth of 0.1 percent in IQ2012. Weakness in industry was the driver of decline.

Table VB-1, Japan, Indices of All Industry Activity Percentage Change from Prior Quarter SA ∆%

 

CON

IND

TERT

GOVT

ALL IND

REAL
GDP

Weight
%

5.7

18.3

63.2

11.4

100.0

 

2014

           

IQ2014

-2.7

3.0

1.7

-0.4

1.6

1.6

Cont to IQ % Change

-0.14

0.53

1.11

-0.05

   

IVQ2013

2.8

1.8

-0.2

0.4

0.3

0.1

IIIQ2013

4.3

1.8

0.1

-0.2

0.5

0.3

IIQ2013

3.6

1.6

0.3

0.0

0.6

0.7

IQ2013

0.9

0.4

0.5

-0.3

0.4

1.3

2012

           

IVQ2012

3.0

-1.8

0.3

0.1

-0.1

0.0

IIIQ

1.6

-3.3

0.0

0.0

-0.4

-0.8

IIQ

1.3

-2.1

0.0

0.0

-0.2

-0.6

IQ

2.0

1.6

0.0

0.2

0.1

1.0

AG: indices of agriculture, forestry and fisheries has weight of 1.4% and is not included in official report or in this table; CON: indices of construction industry activity; IND: indices of industrial production; TERT: indices of tertiary industry activity; GOVT: indices of government services, etc.; ALL IND: indices of all industry activity

Source: Japan, Ministry of Economy, Trade and Industry (METI)

http://www.meti.go.jp/english/statistics/index.html

http://www.esri.cao.go.jp/index-e.html

There are more details in Table VB-2. In Apr 2014, the all industry activity index decreased 4.3 percent with industry decreasing 2.9 percent and services decreasing 5.4 percent while construction decreased 2.3 percent and government decreased 0.2 percent. Industry subtracted 0.52 percentage points and services deducted 3.59 percentage points while construction deducted 0.12 percentage points and government deducted 0.02 percentage points. The all industry activity index is stronger in 2013 with growth of 0.5 percent in Dec 2012, 0.4 percent in Feb 2013, 0.1 percent in Mar 2013, 0.1 percent in Apr 2013 and 0.6 percent in May 2013. After decline of 0.3 percent in Jun 2013, the all industry index rose 0.3 percent in Jul 2013, 0.2 percent in Aug 2013 and 0.3 percent in Sep 2013. The index fell 0.1 percent in Oct 2013 but increased 0.2 percent in Nov 2013. The index changed 0.0 percent in Dec 2013 and increased 1.7 percent in Jan 2014, decreasing 1.1 percent in Feb 2014. The index increased 1.5 percent in Mar 2014 in the rush of sales in anticipation of the sales tax increase in Apr 2014 and fell 4.2 percent in Apr 2014 because of the impact of the sales tax. Industry is recovering with growth of 1.4 percent in Dec 2012, 0.9 percent in Feb 2013, 0.3 percent in Mar 2013, 0.6 percent in Apr 2013 and 2.1 percent in May 2013. After decline of 2.7 percent in Jun 2003, industry grew 2.7 percent in Jul 2013 and declined 0.4 percent in Aug 2013. Industry rebounded with 1.5 percent in Sep 2013 and 0.5 percent in Oct 2013. Industry rose 0.5 percent in Nov 2013 and increased 0.5 percent in Dec 2013. Industry grew 3.9 percent in Jan 2014 and fell 2.3 percent in Feb 2014. Industry increased 0.7 percent in Mar 2014 and fell 2.9 percent in Apr 2014. The highest risk to Japan is if weakening world growth would affect Japanese exports.

Table VB-2, Japan, Indices of All Industry Activity Percentage Change from Prior Month SA ∆%

 

CON

IND

TERT

GOVT

ALL IND

Apr 2014

-2.3

-2.9

-5.4

-0.2

-4.3

Cont to Dec % Change

-0.12

-0.52

-3.59

-0.02

 

Mar

-1.5

0.7

2.4

-0.4

1.5

Feb

-1.3

-2.3

-0.9

0.5

-1.1

Jan

-1.7

3.9

1.5

-0.5

1.7

Dec 2013

-0.2

0.5

-0.1

0.1

0.0

Nov

1.5

0.3

0.3

-0.6

0.2

Oct

1.0

0.5

-0.5

0.8

-0.1

Sep

1.0

1.5

0.1

-0.1

0.3

Aug

0.3

-0.4

0.2

0.1

0.2

Jul 

1.1

2.7

-0.1

-0.3

0.3

Jun

2.5

-2.7

-0.3

0.1

-0.3

May

3.0

2.1

0.5

0.2

0.6

Apr

0.8

0.6

-0.1

0.0

0.1

Mar

0.0

0.3

0.1

-0.3

0.1

Feb

0.1

0.9

0.5

-0.1

0.4

Jan

-0.7

-0.8

0.0

0.0

-0.2

Dec 2012

0.9

1.4

0.2

-0.3

0.5

Nov

3.0

-0.9

-0.1

0.3

-0.2

Oct

-0.1

0.3

0.2

0.2

0.2

Sep

1.2

-2.2

0.0

-0.3

-0.4

Aug

0.1

-1.4

0.2

0.1

0.0

Jul

-1.0

-0.5

-0.3

-0.1

-0.3

Jun

1.7

-0.9

0.0

0.1

0.1

May

3.0

-1.8

0.5

0.0

-0.1

Apr

-1.1

-0.4

-0.2

0.0

-0.1

Mar

-0.5

-0.2

-0.3

0.1

-0.2

Feb

0.7

-0.2

0.2

-0.2

0.1

Jan

2.6

0.8

-0.8

0.4

-0.7

AG: indices of agriculture, forestry and fisheries has weight of 1.4% and is not included in official report or in this table; CON: indices of construction industry activity; IND: indices of industrial production; TERT: indices of tertiary industry activity; GOVT: indices of government services, etc.; ALL IND: indices of all industry activity

Sources: Japan, Ministry of Economy, Trade and Industry (METI)

http://www.meti.go.jp/english/statistics/index.html

Percentage changes from a year earlier in calendar years and relative to the same quarter a year earlier of the all industry activity indices are provided in Table VB-3. The first row shows that services contribute 63.2 percent of the total index and industry contributes 18.3 percent for joint contribution of 81.5 percent. The all industry activity index increased 3.1 percent in IQ2014 relative to a year earlier and GDP increased 3.0 percent relative to a year earlier (Table VB-4 at http://cmpassocregulationblog.blogspot.com/2014/06/financialgeopolitical-risks-recovery.html and earlier http://cmpassocregulationblog.blogspot.com/2014/05/world-inflation-waves-squeeze-of.html). Industry increased 8.3 percent relative to a year earlier while the tertiary sector increased 2.0 percent, adding combined 2.75 percentage points to growth of the all industry activity index of 3.1 percent while construction added 0.40 percentage points and government deducted 0.02 percentage points. The fall of industrial production in 2009 was by a catastrophic 21.9 percent. Japan emerged from the crisis with industrial growth of 16.4 percent in 2010. Quarterly data show that industry is the most dynamic sector of the Japanese economy. The all-industry index increased 0.8 percent in 2013 and real GDP increased 1.5 percent. Industry decreased 0.8 percent, deducting 0.13 percentage points, while the tertiary sector increased 0.7 percent, adding 0.46 percentage points. The Tōhoku or Great East Earthquake and Tsunami of Mar 11, 201, declining world trade and revaluation of the yen in fear of world financial risks interrupted the recovery of the Japanese economy from the global recession.

Table VB-3, Japan, Indices of All Industry Activity Percentage Change from Earlier Calendar Year and Same Quarter Year Earlier NSA ∆%

 

CON

IND

TERT

GOVT

ALL IND

REAL
GDP

Weight
%

5.7

18.3

63.2

11.4

100.0

 

Calendar Year

           

2013

10.4

-0.8

0.7

-0.1

0.8

1.5

Cont to 2013 % Change

0.48

-0.13

0.46

-0.01

   

2012

3.2

0.1

1.4

0.3

1.2

1.4

2011

-2.0

-2.3

0.1

-0.2

-0.5

-0.5

2010

-7.0

16.4

1.3

-0.7

3.1

4.7

2009

-5.6

-21.9

-5.2

0.1

-7.7

-5.5

2008

-7.6

-3.4

-1.0

-1.4

-1.9

-1.0

2014

           

IQ

8.1

8.3

2.0

-0.2

3.1

3.0

Cont to IQ % Change

0.40

1.41

1.34

-0.02

   

2013

           

IVQ

13.4

5.7

0.5

0.0

1.9

2.5

IIIQ

13.0

2.2

1.2

-0.5

1.8

2.3

IIQ

8.8

-3.1

1.3

-0.2

0.6

1.2

IQ2013

5.4

-7.8

-0.1

0.3

-1.2

0.1

2012

           

IVQ

6.7

-5.9

0.7

-0.1

-0.3

-0.3

IIIQ

3.1

-4.2

0.5

0.4

-0.2

-0.2

IIQ

4.9

5.5

2.1

0.6

2.6

3.2

IQ

-1.1

6.2

2.4

0.3

2.6

3.2

AG: indices of agriculture, forestry and fisheries has weight of 1.4% and is not included in official report or in this table; CON: indices of construction industry activity; IND: indices of industrial production; TERT: indices of tertiary industry activity; GOVT: indices of government services, etc.; ALL IND: indices of all industry activity

Source: Japan, Ministry of Economy, Trade and Industry (METI)

http://www.meti.go.jp/english/statistics/index.html

http://www.esri.cao.go.jp/index-e.html

http://www.esri.cao.go.jp/en/sna/sokuhou/sokuhou_top.html

Percentage changes of a month relative to the same month a year earlier for the indices of all industry activity of Japan are shown in Table VB-4. The all industry activity index decreased 1.1 percent in Apr 2014 relative to Apr 2013. Industry increased 3.8 percent in Apr 2014 relative to a year earlier, adding 0.65 percentage points to growth of the all industry activity index. The tertiary sector decreased 2.5 percent, subtracting 1.69 percentage points. Construction added 0.12 percentage points to the index and government deducted 0.05 percentage points.

Table VB-4, Japan, Indices of All Industry Activity Percentage Change from Same Month Year Earlier NSA ∆%

 

CON

IND

TERT

GOVT

ALL IND

Apr 2014

2.8

3.8

-2.5

-0.4

-1.1

Cont to Nov % Change

0.12

0.65

-1.69

-0.05

 

Mar 2014

6.3

7.3

3.0

-0.2

3.6

Feb

8.2

7.0

0.9

0.0

2.2

Jan

9.9

10.6

2.0

-0.5

3.5

Dec 2013

11.8

7.2

0.8

-0.4

2.2

Nov

14.2

4.8

0.5

-0.2

1.9

Oct

14.4

5.3

0.1

0.6

1.8

Sep

12.8

5.2

1.4

-0.6

2.4

Aug

13.0

-0.7

0.8

0.1

1.0

Jul

13.2

1.9

1.5

-1.0

1.7

Jun

11.2

-4.7

0.6

0.5

0.0

May

8.9

-0.9

1.8

-0.2

1.3

Apr

6.3

-3.2

1.5

-1.1

0.6

Mar

5.4

-6.9

0.7

0.0

-0.6

Feb

4.3

-9.9

-1.5

1.5

-2.4

Jan

6.8

-6.4

0.3

-0.6

-0.7

Dec 2012

8.7

-7.5

-0.1

0.6

-0.9

Nov

7.6

-5.7

1.0

0.3

0.0

Oct

3.5

-4.7

1.3

-1.1

0.1

Sep

2.9

-7.7

0.1

0.7

-1.2

Aug

2.6

-4.4

0.6

0.9

-0.1

Jul

3.8

-0.2

0.8

-0.3

0.6

Jun

6.7

-1.5

0.8

0.9

0.6

May

5.3

6.1

3.1

-0.4

3.3

Apr

2.6

13.6

2.4

1.3

4.1

Mar

3.0

16.2

4.2

0.5

5.8

Feb

-2.5

2.8

2.4

-0.7

1.8

Jan

-3.4

-1.6

0.4

0.4

-0.1

AG: indices of agriculture, forestry and fisheries has weight of 1.4% and is not included in official report or in this table; CON: indices of construction industry activity; IND: indices of industrial production; TERT: indices of tertiary industry activity; GOVT: indices of government services, etc.; ALL IND: indices of all industry activity

Source: Japan, Ministry of Economy, Trade and Industry (METI)

http://www.meti.go.jp/english/statistics/index.html

The structure of exports and imports of Japan is in Table VB-7. Japan imports all types of raw materials and fuels at rapidly increasing prices caused by the carry trade from zero interest rates to commodities, oscillating under shocks of risk aversion. Mineral fuels account for 29.8 percent of Japan’s imports and decreased 9.4 percent in the 12 months ending in May 2014 because of alternating carry trades into commodity futures in accordance with risk aversion together with yen devaluation. Weakness of world demand depresses prices of industrial goods. Manufactured products contribute 14.0 percent of Japan’s exports with decrease of 0.7 percent in the 12 months ending in May 2014. Machinery contributes 19.9 percent of Japan’s exports with increase of 2.4 percent in the 12 months ending in May 2014. Electrical machinery contributes 17.6 percent of Japan’s exports with increase of 0.6 percent in the 12 months ending in May 2014. Exports of transport equipment with share of 21.2 percent in total exports decreased 7/3 percent in the 12 months ending in May 2014 but had been increasing sharply largely because of the low level after the Tōhoku or Great East Earthquake and Tsunami of Mar 11, 2011. The breakdown of transport equipment in Table VB-7 shows decrease of the major categories of motor vehicles of 4.3 percent: cars decreased 4.9 percent with increase of 4.1 percent in the minor category of buses and trucks, decrease of 7.3 percent for parts of motor vehicles, decrease of 3.0 percent for motorcycles and decrease of 32.5 percent for ships. The result of rising commodity prices and stable or declining prices of industrial products is pressure on Japan’s terms of trade with oscillations when risk aversion causes reversal of carry trades from zero interest rates to commodity prices. Data in Table VB-7 are in millions of yen that have been affected by recent depreciation of the yen relative to the USD with invoicing of many products in dollars in world trade.

Table VB-7, Japan, Structure and Growth of Exports and Imports % and ∆% Millions Yens

May 2014

Value JPY Millions

% of Total

12 Months ∆%

Contribution Degree %

Exports

5,607,581

100.0

-2.7

-2.7

Foodstuffs

37,154

0.7

1.5

0.0

Raw Materials

100,865

1.8

-6.3

-0.1

Mineral Fuels

94,058

1.7

-45.7

-1.4

Chemicals

612,931

10.9

0.0

0.0

Manufactured Goods

784,416

14.0

-0.7

-0.1

Machinery

1,115,648

19.9

2.4

0.5

Electrical Machinery

988,026

17.6

0.6

0.1

Transport Equipment

1,189,927

21.2

-7.3

-1.6

Motor Vehicles

759,560

13.5

-4.3

-0.6

Cars

648,895

11.6

-4.9

-0.6

Buses & Trucks

104,198

1.9

4.1

0.1

Parts of Motor Vehicles

258,098

4.6

-7.3

-0.4

Motorcycles

16,696

0.3

-3.0

0.0

Ships

81,866

1.5

-32.5

-0.7

Other

684,556

12.2

-0.7

-0.1

Imports

6,516,544

100.0

-3.6

-3.6

Foodstuffs

592,556

9.1

-1.9

-0.2

Raw Materials

498,486

7.6

-8.0

-0.6

Mineral Fuels

1,939,167

29.8

-9.4

-3.0

Chemicals

582,161

8.9

2.1

0.2

Manufactured Goods

576,197

8.8

7.4

0.6

Machinery

538,762

8.3

5.8

0.4

Electrical Machinery

808,365

12.4

-5.0

-0.6

Transport Equipment

205,627

3.2

-5.7

-0.2

Other

775,223

11.9

-1.2

-0.1

Source: Japan, Ministry of Finance http://www.customs.go.jp/toukei/info/index_e.htm

Table VB-8 provides Japan’s exports, imports and trade balance in five-year intervals from 1950 to 1975 and then yearly from 1979 to 2013. Exports grew at the average yearly rate of 3.4 percent while imports grew at 3.6 percent per year in the years from 1979 to 2013. Abstracting from the global recession and the Tōhoku or Great East Earthquake and Tsunami of Mar 11, 2011, exports grew at the average annual rate of 4.8 percent between 1979 and 2007 and imports at 4.0 percent. The global recession had a brutal impact on Japan’s trade. Exports fell 35.5 percent from 2007 to 2009 while imports fell 29.6 percent. Japan had the first trade deficit in 2011 since 1980 and the highest deficits in 2012 and 2013.

Table VB-8, Japan, Exports and Imports Calendar Year 1950-2013 Billion Yen

Years

Exports

Imports

Balance

1950

298

348

-50

1955

723

889

-166

1960

1,459

1,616

-157

1965

3,042

2,940

102

1970

6,954

6,797

157

1975

16,545

17,170

-625

1979

22,531

24,245

-1,714

1980

29,382

31,995

-2,613

1981

33,468

31,464

2,004

1982

34,432

32,656

1,776

1983

34,909

30,014

4,895

1984

40,325

32,321

8,004

1985

41,955

31,084

10,871

1986

35,289

21,550

13,739

1987

33,315

21,736

11,579

1988

33,939

24,006

9,933

1989

37,822

28,978

8,844

1990

41,456

33,855

7,601

1991

42,359

31,900

10,459

1992

43,012

29,527

13,485

1993

40,202

26,826

13,376

1994

40,497

28,104

12,393

1995

41,530

31,548

9,982

1996

44,731

37,993

6,738

1997

50,937

40,956

9,981

1998

50,645

36,653

13,992

1999

47,547

35,268

12,279

2000

51,654

40,938

10,716

2001

48,979

42,415

6,564

2002

52,108

42,227

9,881

2003

54,548

44,362

10,186

2004

61,169

49,216

11,953

2005

65,656

56,949

8,707

2006

75,246

67,344

7,902

2007

83,931

73,135

10,796

2008

81,018

78,955

2,063

2009

54,170

51,499

2,671

2010

67,399

60,764

6,635

2011

65,546

68,111

-2,565

2012

63,748

70,689

-6,941

2013

69,774

81,243

-11,469

Source: Japan, Ministry of Finance

http://www.customs.go.jp/toukei/info/index_e.htm

The geographical breakdown of exports and imports of Japan with selected regions and countries is provided in Table VB-9 for May 2014. The share of Asia in Japan’s trade is more than one-half for 55.1 percent of exports and 45.2 percent of imports. Within Asia, exports to China are 18.7 percent of total exports and imports from China 21.8 percent of total imports. While exports to China increased 0.4 percent in the 12 months ending in May 2014, imports from China decreased 0.5 percent. The second largest export market for Japan in May 2014 is the US with share of 18.0 percent of total exports, which is close to that of China, and share of imports from the US of 9.4 percent in total imports. Japan’s exports to the US fell 2.8 percent in the 12 months ending in May 2014 and imports from the US fell 0.5 percent. Western Europe has share of 11.1 percent in Japan’s exports and of 10.9 percent in imports. Rates of growth of exports of Japan in May 2014 are minus 2.8 percent for exports to the US, minus 10.7 percent for exports to Brazil and 22.5 percent for exports to Germany. Comparisons relative to 2011 may have some bias because of the effects of the Tōhoku or Great East Earthquake and Tsunami of Mar 11, 2011. Deceleration of growth in China and the US and threat of recession in Europe can reduce world trade and economic activity. Growth rates of imports in the 12 months ending in May 2014 are mixed. Imports from Asia decreased 1.2 percent in the 12 months ending in May 2014 while imports from China decreased 2.7 percent. Data are in millions of yen, which may have effects of recent depreciation of the yen relative to the United States dollar (USD).

Table VB-9, Japan, Value and 12-Month Percentage Changes of Exports and Imports by Regions and Countries, ∆% and Millions of Yen

May 2014

Exports
Millions Yen

12 months ∆%

Imports Millions Yen

12 months ∆%

Total

5,607,581

-2.7

6,516,544

-3.6

Asia

3,087,914

% Total 55.1

-3.4

2,945,032 % Total 45.2

-1.2

China

1,049,696

% Total 18.7

0.4

1,419,105 % Total 21.8

-2.7

USA

1,010,694

% Total 18.0

-2.8

611,193 % Total

9.4

-0.5

Canada

59,414

-14.2

101,133

-9.3

Brazil

41,339

-10.7

75,075

-28.9

Mexico

81,962

3.3

47,485

22.4

Western Europe

622,770 % Total 11.1

15.2

709,880 % Total 10.9

6.1

Germany

165,641

22.5

192,516

7.1

France

47,659

-1.7

88,854

1.2

UK

92,016

3.6

52,249

-13.6

Middle East

215,002

10.9

1,102,296

-10.5

Australia

104,308

-30.4

391,700

-12.8

Source: Japan, Ministry of Finance http://www.customs.go.jp/toukei/info/index_e.htm

Table VB-8 provides the trade balance of Japan by countries and regions in May 2014. The significantly large deficits of JPY 887,294 million with the Middle East, JPY 369,409 million with China, JPY 287,392 million with Australia and JPY 87,110 million with Western Europe exceed surpluses of JPY 399,501 million with the US, JPY 34,477 million with Mexico and JPY 39,767 million with the UK.

Table VB-10, Japan, Trade Balance, Millions of Yen

May 2014

Millions of Yen

Total

-908,963

Asia

142,882

China

-369,409

USA

399,501

Canada

-41,719

Brazil

-33,736

Mexico

34,477

Western Europe

-87,110

Germany

-26,875

France

-41,195

UK

39,767

Middle East

-887,294

Australia

-287,392

Source: Japan, Ministry of Finance

http://www.customs.go.jp/toukei/info/index_e.htm

Long-term economic growth in Japan significantly improved by increasing competitiveness in world markets. Net trade of exports and imports is an important component of the GDP accounts of Japan. Table VB-3 provides quarterly data for net trade, exports and imports of Japan. Net trade had strong positive contributions to GDP growth in Japan in all quarters from IQ2007 to IIQ2009 with exception of IVQ2008 and IQ2009. The US recession is dated by the National Bureau of Economic Research (NBER) as beginning in IVQ2007 (Dec) and ending in IIQ2009 (Jun) (http://www.nber.org/cycles/cyclesmain.html). Net trade contributions helped to cushion the economy of Japan from the global recession. Net trade deducted from GDP growth in seven of the nine quarters from IVQ2010 IQ2012. The only strong contribution of net trade was 3.8 percent in IIIQ2011. Net trade added 1.7 percentage points to GDP growth in IQ2013 and 0.5 percentage points in IIQ2013 but deducted 2.0 percentage points in IIIQ2013 and deducted 2.2 percentage points in IVQ2013. Net trade deducted 1.1 percentage points from GDP growth in IQ2014. Private consumption assumed the role of driver of Japan’s economic growth but should moderate as in most mature economies.

Table VB-3, Japan, Contributions to Changes in Real GDP, Seasonally Adjusted Annual Rates (SAAR), %

 

Net Trade

Exports

Imports

2014

     

I

-1.1

3.9

-5.0

2013

     

I

1.7

2.4

-0.7

II

0.5

1.7

-1.2

III

-2.0

-0.4

-1.6

IV

-2.2

0.3

-2.5

2012

     

I

0.4

1.7

-1.3

II

-1.3

-0.3

-0.9

III

-2.2

-2.4

0.2

IV

-0.5

-1.8

1.3

2011

     

I

-1.1

-0.4

-0.7

II

-4.3

-4.6

0.3

III

3.8

5.7

-1.9

IV

-3.0

-1.9

-1.1

2010

     

I

2.1

3.5

-1.4

II

0.1

2.6

-2.6

III

0.5

1.4

-0.9

IV

-0.4

0.1

-0.5

2009

     

I

-4.5

-16.4

12.0

II

7.4

4.7

2.7

III

2.2

5.3

-3.0

IV

2.7

4.1

-1.4

2008

     

I

1.1

2.1

-1.0

II

0.5

-1.6

2.1

III

0.1

0.2

-0.1

IV

-11.5

-10.2

-1.2

2007

     

I

1.1

1.7

-0.5

II

0.7

1.6

-0.8

III

2.1

1.5

0.6

IV

1.4

2.0

-0.7

Source: Japan Economic and Social Research Institute, Cabinet Office

http://www.esri.cao.go.jp/index-e.html

http://www.esri.cao.go.jp/en/sna/sokuhou/sokuhou_top.html

There was milder increase in Japan’s export corporate goods price index during the global recession in 2008 but similar sharp decline during the bank balance sheets effect in late 2008, as shown in Chart IV-5 of the Bank of Japan. Japan exports industrial goods whose prices have been less dynamic than those of commodities and raw materials. As a result, the export CGPI on the yen basis in Chart IV-5 trends down with oscillations after a brief rise in the final part of the recession in 2009. The export corporate goods price index on the yen basis fell from 104.9 in Jun 2009 to 94.0 in Jan 2012 or minus 10.4 percent and increased to 108.2 in May 2014 for a gain of 15.1 percent relative to Jan 2012 and 3.1 percent relative to Jun 2009. The choice of Jun 2009 is designed to capture the reversal of risk aversion beginning in Sep 2008 with the announcement of toxic assets in banks that would be withdrawn with the Troubled Asset Relief Program (TARP) (Cochrane and Zingales 2009). Reversal of risk aversion in the form of flight to the USD and obligations of the US government opened the way to renewed carry trades from zero interest rates to exposures in risk financial assets such as commodities. Japan exports industrial products and imports commodities and raw materials.

clip_image007

Chart IV-5, Japan, Export Corporate Goods Price Index, Monthly, Yen Basis, 2008-2014

Source: Bank of Japan

http://www.stat-search.boj.or.jp/index_en.html

Chart IV-5A provides the export corporate goods price index on the basis of the contract currency. The export corporate goods price index on the basis of the contract currency increased from 97.9 in Jun 2009 to 103.1 in Apr 2012 or 5.3 percent but dropped to 98.1 in May 2014 or minus 4.8 percent relative to Apr 2012 and gained 0.2 percent to 98.1 in May 2014 relative to Jun 2009.

clip_image008

Chart IV-5A, Japan, Export Corporate Goods Price Index, Monthly, Contract Currency Basis, 2008-2014

Source: Bank of Japan

http://www.stat-search.boj.or.jp/index_en.html

Japan imports primary commodities and raw materials. As a result, the import corporate goods price index on the yen basis in Chart IV-6 shows an upward trend after declining from the increase during the global recession in 2008 driven by carry trades from fed funds rates. The index increases with carry trades from zero interest rates into commodity futures and declines during risk aversion from late 2008 into beginning of 2008 originating in doubts about soundness of US bank balance sheets. More careful measurement should show that the terms of trade of Japan, export prices relative to import prices, declined during the commodity shocks originating in unconventional monetary policy. The decline of the terms of trade restricted potential growth of income in Japan (for the relation of terms of trade and growth see Pelaez (1979, 1976a)). The import corporate goods price index on the yen basis increased from 93.5 in Jun 2009 to 113.1 in Apr 2012 or 21.0 percent and to 126.2 in May 2014 or gain of 11.6 percent relative to Apr 2012 and 35.0 percent relative to Jun 2009.

clip_image009

Chart IV-6, Japan, Import Corporate Goods Price Index, Monthly, Yen Basis, 2008-2014

Source: Bank of Japan

http://www.stat-search.boj.or.jp/index_en.html

Chart IV-6A provides the import corporate goods price index on the contract currency basis. The import corporate goods price index on the basis of the contract currency increased from 86.2 in Jun 2009 to 119.5 in Apr 2012 or 38.6 percent and to 112.7 in May 2014 or minus 5.6 percent relative to Apr 2012 and gain of 30.7 percent relative to Jun 2009. There is evident deterioration of the terms of trade of Japan: the export corporate goods price index on the basis of the contract currency increased 0.2 percent from Jun 2009 to May 2014 while the import corporate goods price index increased 30.7 percent. Prices of Japan’s exports of corporate goods, mostly industrial products, increased only 5.3 percent from Jun 2009 to May 2012, while imports of corporate goods, mostly commodities and raw materials increased 38.6 percent. Unconventional monetary policy induces carry trades from zero interest rates to exposures in commodities that squeeze economic activity of industrial countries by increases in prices of imported commodities and raw materials during periods without risk aversion. Reversals of carry trades during periods of risk aversion decrease prices of exported commodities and raw materials that squeeze economic activity in economies exporting commodities and raw materials. Devaluation of the dollar by unconventional monetary policy could increase US competitiveness in world markets but economic activity is squeezed by increases in prices of imported commodities and raw materials. Unconventional monetary policy causes instability worldwide instead of the mission of central banks of promoting financial and economic stability.

clip_image010

Chart IV-6A, Japan, Import Corporate Goods Price Index, Monthly, Contract Currency Basis, 2008-2014

Source: Bank of Japan

http://www.stat-search.boj.or.jp/index_en.html

Table IV-6 provides the Bank of Japan’s Corporate Goods Price indexes of exports and imports on the yen and contract bases from Jan 2008 to May 2014. There are oscillations of the indexes that are shown vividly in the four charts above. For the entire period from Jan 2008 to May 2014, the export index on the contract currency basis decreased 1.1 percent and decreased 6.3 percent on the yen basis. For the entire period from Jan 2008 to May 2014, the import price index increased 11.9 percent on the contract currency basis and increased 6.1 percent on the yen basis. The charts show sharp deteriorations in relative prices of exports to prices of imports during multiple periods. Price margins of Japan’s producers are subject to periodic squeezes resulting from carry trades from zero interest rates of monetary policy to exposures in commodities.

Table IV-6, Japan, Exports and Imports Corporate Goods Price Index, Contract Currency Basis and Yen Basis

Month

Exports Contract
Currency

Exports Yen

Imports Contract Currency

Imports Yen

2008/01

99.2

115.5

100.7

119.0

2008/02

99.8

116.1

102.4

120.6

2008/03

100.5

112.6

104.5

117.4

2008/04

101.6

115.3

110.1

125.2

2008/05

102.4

117.4

113.4

130.4

2008/06

103.5

120.7

119.5

140.3

2008/07

104.7

122.1

122.6

143.9

2008/08

103.7

122.1

123.1

147.0

2008/09

102.7

118.3

117.1

137.1

2008/10

100.2

109.6

109.1

121.5

2008/11

98.6

104.5

97.8

105.8

2008/12

97.9

100.6

89.3

93.0

2009/01

98.0

99.5

85.6

88.4

2009/02

97.5

100.1

85.7

89.7

2009/03

97.3

104.2

85.2

93.0

2009/04

97.6

105.6

84.4

93.0

2009/05

97.5

103.8

84.0

90.8

2009/06

97.9

104.9

86.2

93.5

2009/07

97.5

103.1

89.2

95.0

2009/08

98.3

104.4

89.6

95.8

2009/09

98.3

102.1

91.0

94.7

2009/10

98.0

101.2

91.0

94.0

2009/11

98.4

100.8

92.8

94.8

2009/12

98.3

100.7

95.4

97.5

2010/01

99.4

102.2

97.0

100.0

2010/02

99.7

101.6

97.6

99.8

2010/03

99.7

101.8

97.0

99.2

2010/04

100.5

104.6

99.9

104.6

2010/05

100.7

102.9

101.7

104.9

2010/06

100.1

101.6

100.0

102.3

2010/07

99.4

99.0

99.9

99.8

2010/08

99.1

97.3

99.5

97.5

2010/09

99.4

97.0

100.0

97.2

2010/10

100.1

96.4

100.5

95.8

2010/11

100.7

97.4

102.6

98.2

2010/12

101.2

98.3

104.4

100.6

2011/01

102.1

98.6

107.2

102.6

2011/02

102.9

99.5

109.0

104.3

2011/03

103.5

99.6

111.8

106.3

2011/04

104.1

101.7

115.9

111.9

2011/05

103.9

99.9

118.8

112.4

2011/06

103.8

99.3

117.5

110.5

2011/07

103.6

98.3

118.3

110.2

2011/08

103.6

96.6

118.6

108.1

2011/09

103.7

96.1

117.0

106.2

2011/10

103.0

95.2

116.6

105.6

2011/11

101.9

94.8

115.4

105.4

2011/12

101.5

94.5

116.1

106.2

2012/01

101.8

94.0

115.0

104.2

2012/02

102.4

95.8

115.8

106.4

2012/03

102.9

99.2

118.3

112.9

2012/04

103.1

98.7

119.5

113.1

2012/05

102.3

96.3

118.1

109.8

2012/06

101.4

95.0

115.2

106.7

2012/07

100.6

94.0

112.0

103.5

2012/08

100.9

94.1

112.4

103.6

2012/09

101.0

94.1

114.7

105.2

2012/10

101.1

94.7

113.8

105.2

2012/11

100.9

95.9

113.2

106.5

2012/12

100.7

98.0

113.4

109.5

2013/01

101.0

102.4

113.8

115.4

2013/02

101.5

105.9

114.8

120.2

2013/03

101.3

106.6

115.1

122.0

2013/04

100.2

107.5

114.1

123.8

2013/05

99.6

109.1

112.6

125.3

2013/06

99.2

106.1

112.0

121.2

2013/07

99.1

107.5

111.6

122.8

2013/08

99.0

106.1

111.7

121.2

2013/09

99.0

107.2

112.9

123.9

2013/10

99.2

106.7

113.0

122.8

2013/11

99.1

108.0

113.1

124.9

2013-12

99.1

110.4

113.8

129.0

2014-01

99.2

110.7

114.4

130.1

2014-02

98.9

109.3

113.8

127.7

2014-03

98.6

109.0

113.4

127.4

2014-04

98.4

109.0

112.8

127.0

2014-05

98.1

108.2

112.7

126.2

Source: Bank of Japan

http://www.boj.or.jp/en/statistics/index.htm/

Chart IV-7 provides the monthly corporate goods price index (CGPI) of Japan from 1970 to 2014. Japan also experienced sharp increase in inflation during the 1970s as in the episode of the Great Inflation in the US. Monetary policy focused on accommodating higher inflation, with emphasis solely on the mandate of promoting employment, has been blamed as deliberate or because of model error or imperfect measurement for creating the Great Inflation (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). A remarkable similarity with US experience is the sharp rise of the CGPI of Japan in 2008 driven by carry trades from policy interest rates rapidly falling to zero to exposures in commodity futures during a global recession. Japan had the same sharp waves of consumer price inflation during the 1970s as in the US (see Chart IV-26 and associated table at http://cmpassocregulationblog.blogspot.com/2014/06/financial-instability-mediocre-cyclical_4827.html http://cmpassocregulationblog.blogspot.com/2014/03/financial-uncertainty-mediocre-cyclical_8145.html http://cmpassocregulationblog.blogspot.com/2014/03/financial-risks-slow-cyclical-united.html http://cmpassocregulationblog.blogspot.com/2014/02/mediocre-cyclical-united-states.html http://cmpassocregulationblog.blogspot.com/2013/12/collapse-of-united-states-dynamism-of.html http://cmpassocregulationblog.blogspot.com/2013/12/exit-risks-of-zero-interest-rates-world_1.html and earlier http://cmpassocregulationblog.blogspot.com/2013/10/twenty-eight-million-unemployed-or_561.html and at http://cmpassocregulationblog.blogspot.com/2013/09/increasing-interest-rate-risk_1.html http://cmpassocregulationblog.blogspot.com/2012/07/recovery-without-jobs-stagnating-real_09.html).

clip_image011

Chart IV-7, Japan, Domestic Corporate Goods Price Index, Monthly, 1970-2014

Source: Bank of Japan

http://www.stat-search.boj.or.jp/index_en.html

The producer price index of the US from 1970 to 2014 in Chart IV-8 shows various periods of more rapid or less rapid inflation but no bumps. The major event is the decline in 2008 when risk aversion because of the global recession caused the collapse of oil prices from $148/barrel to less than $80/barrel with most other commodity prices also collapsing. The event had nothing in common with explanations of deflation but rather with the concentration of risk exposures in commodities after the decline of stock market indexes. Eventually, there was a flight to government securities because of the fears of insolvency of banks caused by statements supporting proposals for withdrawal of toxic assets from bank balance sheets in the Troubled Asset Relief Program (TARP), as explained by Cochrane and Zingales (2009). The bump in 2008 with decline in 2009 is consistent with the view that zero interest rates with subdued risk aversion induce carry trades into commodity futures.

clip_image012

Chart IV-8, US, Producer Price Index Finished Goods, Monthly, 1970-2014

Source: US Bureau of Labor Statistics

http://www.bls.gov/ppi/

Further insight into inflation of the corporate goods price index (CGPI) of Japan is provided in Table IV-7. The increase in the tax on value added of consumption caused sharp increases in prices across all segments. Petroleum and coal with weight of 6.5 percent increased 0.5 percent in May 2014 and increased 11.7 percent in 12 months. Japan exports manufactured products and imports raw materials and commodities such that the country’s terms of trade, or export prices relative to import prices, deteriorate during commodity price increases. In contrast, prices of production machinery, with weight of 3.6 percent, increased 0.3 percent in May 2014 and increased 4.2 percent in 12 months. In general, most manufactured products have been experiencing negative or low increases in prices while inflation rates have been high in 12 months for products originating in raw materials and commodities. Ironically, unconventional monetary policy of zero interest rates and quantitative easing that intended to increase aggregate demand and GDP growth deteriorated the terms of trade of advanced economies with adverse effects on real income (for analysis of terms of trade and growth see Pelaez (1979, 1976a). There are now inflation effects of the intentional policy of devaluing the yen.

Table IV-7, Japan, Corporate Goods Prices and Selected Components, % Weights, Month and 12 Months ∆%

May 2014

Weight

Month ∆%

12 Month ∆%

Total

1000.0

0.2

4.2

Food, Beverages, Tobacco, Feedstuffs

135.8

0.1

3.5

Petroleum & Coal

65.4

0.5

11.7

Production Machinery

36.3

0.3

4.2

Electronic Components

30.7

-0.2

-2.0

Electric Power, Gas & Water

54.6

3.8

14.0

Iron & Steel

59.9

-0.1

7.0

Chemicals

93.0

-0.1

1.4

Transport
Equipment

128.6

0.0

2.7

Source: Bank of Japan

http://www.boj.or.jp/en/statistics/index.htm/

https://www.boj.or.jp/en/statistics/pi/cgpi_release/cgpi1405.pdf

Percentage point contributions to change of the corporate goods price index (CGPI) in Mar 2014 are provided in Table IV-8 divided into domestic, export and import segments. The final block provides change in the corporate goods price without the effects of the increase in the tax on value added of consumption. In the domestic CGPI, increasing 0.3 percent in May 2014, the energy shock is evident in the contribution of 0.25 percentage points by electric power, gas and water and 0.04 percentage points in petroleum and coal products in new carry trades of exposures in commodity futures. The exports CGPI decreased 0.3 percent on the basis of the contract currency with deduction of 0.19 percentage points by electric and electronic products. The imports CGPI decreased 0.1 percent on the contract currency basis. Petroleum, coal and natural gas products deducted 0.23 percentage points. Shocks of risk aversion cause unwinding carry trades that result in declining commodity prices with resulting downward pressure on price indexes. The volatility of inflation adversely affects financial and economic decisions worldwide. The final block D shows that the increase in the domestic corporate goods price index without the effects of the consumption tax is 0.2 percent.

Table IV-8, Japan, Percentage Point Contributions to Change of Corporate Goods Price Index

Groups May 2014

Contribution to Change Percentage Points

A. Domestic Corporate Goods Price Index

Monthly Change: 
0.3%

Electric Power, Gas & Water

0.25

Petroleum & Coal Products

0.04

Nonferrous Metals

0.02

Agriculture, Forestry & Fishery

-0.03

Information & Communications Equipment

-0.02

B. Export Price Index

Monthly Change:   
-0.3% contract currency

Electric & Electronic Products

-0.19

Other Primary Products & Manufactured Goods

-0.03

General Purpose, Production & Business Oriented Machinery

-0.03

Chemicals & Related Products

-0.02

Transportation Equipment

0.04

C. Import Price Index

Monthly Change: -0.1% contract currency basis

Petroleum, Coal & Natural Gas

-0.23

Electric & Electronic Products

-0.02

General Purpose, Production & Business Oriented Machinery

-0.02

Metals & Related Products

0.12

D. Domestic Corporate Goods Price Index Excluding Consumption Tax

Monthly Change: 0.2%

Electric Power, Gas & Water

0.14

Petroleum & Coal Products

0.04

Nonferrous Metals

0.02

Agriculture, Forestry & Fishery Products

-0.03

Information & Communications Equipment

-0.02

Source: Bank of Japan

http://www.boj.or.jp/en/statistics/index.htm/

https://www.boj.or.jp/en/statistics/pi/cgpi_release/cgpi1405.pdf

There are two categories of responses in the Empire State Manufacturing Survey of the Federal Reserve Bank of New York (http://www.newyorkfed.org/survey/empire/empiresurvey_overview.html): current conditions and expectations for the next six months. There are responses in the survey for two types of prices: prices received or inputs of production and prices paid or sales prices of products. Table IV-5 provides indexes for the two categories and within them for the two types of prices from Jan 2011 to Jun 2014. The index of current prices paid or costs of inputs increased from 16.13 in Dec 2012 to 17.2 in Jun 2014 while the index of current prices received or sales prices increased from 1.08 in Dec 2012 to 4.3 in Jun 2014. The farther the index is from the area of no change at zero, the faster the rate of change. Prices paid or of inputs at 17.2 in Jun 2014 are expanding at faster pace than prices received or of sales of products at 4.3. The index of future prices paid or expectations of costs of inputs in the next six months fell from 51.61 in Dec 2012 to 36.56 in Jun 2014 while the index of future prices received or expectation of sales prices in the next six months decreased from 25.81 in Dec 2012 to 16.31 in Jun 2014. Priced paid or of inputs are expected to increase at a faster pace in the next six months than prices received or prices of sales products. Prices of sales of finished products are less dynamic than prices of costs of inputs during waves of increases. Prices of costs of costs of inputs fall less rapidly than prices of sales of finished products during waves of price decreases. As a result, margins of prices of sales less costs of inputs oscillate with typical deterioration against producers, forcing companies to manage tightly costs and labor inputs. Instability of sales/costs margins discourages investment and hiring.

Table IV-5, US, FRBNY Empire State Manufacturing Survey, Diffusion Indexes, Prices Paid and Prices Received, SA

 

Current Prices Paid

Current Prices Received

Six Months Prices Paid

Six Months Prices Received

Jun 2014

17.2

4.3

36.56

16.13

May

19.78

6.59

31.87

14.29

Apr

22.45

10.20

33.67

14.29

Mar

21.18

2.35

43.53

25.88

Feb

25.00

15.00

40.00

23.75

Jan

36.59

13.41

45.12

23.17

Dec 2013

15.66

3.61

48.19

27.71

Nov

17.11

-3.95

42.11

17.11

Oct

21.69

2.41

45.78

25.30

Sep

21.51

8.60

39.78

24.73

Aug

20.48

3.61

40.96

19.28

Jul

17.39

1.09

28.26

11.96

Jun

20.97

11.29

45.16

17.74

May

20.45

4.55

29.55

14.77

Apr

28.41

5.68

44.32

14.77

Mar

25.81

2.15

50.54

23.66

Feb

26.26

8.08

44.44

13.13

Jan

22.58

10.75

38.71

21.51

Dec 2012

16.13

1.08

51.61

25.81

Nov

14.61

5.62

39.33

15.73

Oct

17.20

4.30

44.09

24.73

Sep

19.15

5.32

40.43

23.40

Aug

16.47

2.35

31.76

14.12

Jul

7.41

3.70

35.80

16.05

Jun

19.59

1.03

34.02

17.53

May

37.35

12.05

57.83

22.89

Apr

45.78

19.28

50.60

22.89

Mar

50.62

13.58

66.67

32.10

Feb

25.88

15.29

62.35

34.12

Jan

26.37

23.08

53.85

30.77

Dec 2011

24.42

3.49

56.98

36.05

Nov

18.29

6.10

36.59

25.61

Oct

22.47

4.49

40.45

17.98

Sep

32.61

8.70

53.26

22.83

Aug

28.26

2.17

42.39

15.22

Jul

43.33

5.56

51.11

30.00

Jun

56.12

11.22

55.10

19.39

May

69.89

27.96

68.82

35.48

Apr

57.69

26.92

56.41

38.46

Mar

53.25

20.78

71.43

36.36

Feb

45.78

16.87

55.42

27.71

Jan 2011

35.79

15.79

60.00

42.11

Source: http://www.newyorkfed.org/survey/empire/empiresurvey_overview.html

Price indexes of the Federal Reserve Bank of Philadelphia Outlook Survey are in Table IV-6. As inflation waves throughout the world (Section I and earlier http://cmpassocregulationblog.blogspot.com/2014/05/world-inflation-waves-squeeze-of.html), indexes of both current and expectations of future prices paid and received were quite high until May 2011. Prices paid, or inputs, were more dynamic, reflecting carry trades from zero interest rates to commodity futures. All indexes softened after May 2011 with even decline of prices received in Aug 2011 during the first round of risk aversion. Current and future price indexes have increased again but not back to the intensity in the beginning of 2011 because of risk aversion frustrating carry trades even induced by zero interest rates. The index of prices paid or prices of inputs increased from 20.6 in Dec 2012 to 35.0 in Jun 2014. The index of current prices received was minus 7.2 in Apr 2013, indicating decrease of prices received. The index of current prices received decreased from 10.9 in Dec 2012 to 14.1 in Jun 2014. The farther the index is from the area of no change at zero, the faster the rate of change. The index of current prices paid or costs of inputs at 35.0 in Jun 2014 indicates faster increase than the index of current prices received or sales prices of production at 14.1. The index of future prices paid decreased to 44.5 in Jun 2014 from 41.9 in Dec 2012 while the index of future prices received increased from 27.3 in Dec 2012 to 30.0 in Jun 2014. Expectations are incorporating faster increases in prices of inputs or costs of production, 44.5 in Jun 2014, than of sales prices of produced goods, 30.0 in Jun 2014, forcing companies to manage tightly costs and labor inputs. Volatility of margins of sales/costs discourages investment and hiring.

Table IV-6, US, Federal Reserve Bank of Philadelphia Business Outlook Survey, Current and Future Prices Paid and Prices Received, SA

 

Current Prices Paid

Current Prices Received

Future Prices Paid

Future Prices Received

10-Dec

42.6

6.0

56.8

25.7

11-Jan

47.9

12.1

58.7

34.1

11-Feb

61.1

13.2

62.6

30.7

11-Mar

57.6

17

62.1

32.4

11-Apr

50.9

20.8

55.3

33.7

11-May

49.3

20.5

54.6

28.5

11-Jun

38.9

7.7

41.6

6.8

11-Jul

35.6

6.3

48.3

16.7

11-Aug

24.6

-4

45.2

23.4

11-Sep

32

7.1

40.9

22.2

11-Oct

24.3

2.8

42.9

27.8

11-Nov

22.8

6.3

35.4

28.3

11-Dec

25

7

43.1

24.7

12-Jan

25.3

8

47.5

20.8

12-Feb

31.9

9.4

43.4

24.8

12-Mar

14.1

5.3

37.8

22.6

12-Apr

18.1

6.2

35.2

20.2

12-May

7.7

0.7

39.5

9.7

12-Jun

5.5

-3.7

34.8

16.9

12-Jul

10.8

4.9

27.9

20.3

12-Aug

18

5.6

39.5

25

12-Sep

15.8

3.5

42.2

27.5

12-Oct

19.9

7.1

45.8

15.3

12-Nov

23.6

6.5

47.6

12.8

12-Dec

20.6

10.9

41.9

27.3

13-Jan

11.8

-1.6

33.9

20

13-Feb

10.6

-1.3

25.4

20.6

13-Mar

7.6

-1.3

32.4

16.8

13-Apr

5

-7.2

28.9

9.9

13-May

9.7

0.2

33.5

19.9

13-Jun

23.7

14.6

33.3

24.3

13-Jul

22.7

8

41

25.6

13-Aug

20.4

11.1

40.7

24.5

13-Sep

25.9

12.5

43

31.6

13-Oct

21

12.8

43.1

34.6

13-Nov

25.4

9

43.5

38.1

13-Dec

16.4

10.8

39.1

34.8

14-Jan

18.7

5.1

35.3

11.8

14-Feb

14.2

7.6

18.2

16.3

14-Mar

13.9

4.3

29.4

15.9

14-Apr

11.3

4.3

35.1

13

14-May

23

17

36.1

29.5

14-Jun

35

14.1

44.5

30

Source: Federal Reserve Bank of Philadelphia

http://www.phil.frb.org/index.cfm

Chart IV-1 of the Business Outlook Survey of the Federal Reserve Bank of Philadelphia Outlook Survey provides the diffusion index of current prices paid or prices of inputs from 2006 to 2014. Recession dates are in shaded areas. In the middle of deep global contraction after IVQ2007, input prices continued to increase in speculative carry trades from central bank policy rates falling toward zero into commodities futures. The index peaked above 70 in the second half of 2008. Inflation of inputs moderated significantly during the shock of risk aversion in late 2008, even falling briefly into contraction territory below zero during several months in 2009 in the flight away from risk financial assets into US government securities (Cochrane and Zingales 2009) that unwound carry trades. Return of risk appetite induced carry trade with significant increase until return of risk aversion in the first round of the European sovereign debt crisis in Apr 2010. Carry trades returned during risk appetite in expectation that the European sovereign debt crisis was resolved. The various inflation waves originating in carry trades induced by zero interest rates with alternating episodes of risk aversion are mirrored in the prices of inputs after 2011, in particular after Aug 2012 with the announcement of the Outright Monetary Transactions Program of the European Central Bank (http://www.ecb.int/press/pr/date/2012/html/pr120906_1.en.html). Subsequent risk aversion and flows of capital away from commodities into stocks and high-yield bonds caused sharp decline in the index of prices paid followed by another recent rebound with marginal decline and new increase. The index falls and then rebounds in the final segment but there are no episodes of contraction after 2009.

clip_image014

Chart IV-1, Federal Reserve Bank of Philadelphia Business Outlook Survey Current Prices Paid Diffusion Index SA

Source: Federal Reserve Bank of Philadelphia

http://www.philadelphiafed.org/index.cfm

Chart IV-2 of the Federal Reserve Bank of Philadelphia Outlook Survey provides the diffusion index of current prices received from 2006 to 2014. The significant difference between the index of current prices paid in Chart IV-1 and the index of current prices received in Chart IV-2 is that increases in prices paid are significantly sharper than increases in prices received. There were several periods of negative readings of prices received from 2010 to 2014 but none of prices paid. Prices paid relative to prices received deteriorate most of the time largely because of the carry trades from zero interest rates to commodity futures. Profit margins of business are compressed intermittently by fluctuations of commodity prices induced by unconventional monetary policy of zero interest rates, frustrating production, investment and hiring decisions of business, which is precisely the opposite outcome pursued by unconventional monetary policy.

clip_image016

Chart IV-2, Federal Reserve Bank of Philadelphia Business Outlook Survey Current Prices Received Diffusion Index SA

Source: Federal Reserve Bank of Philadelphia

http://www.philadelphiafed.org/index.cfm

VC China. China estimates an index of nonmanufacturing purchasing managers based on a sample of 1200 nonmanufacturing enterprises across the country (http://www.stats.gov.cn/english/pressrelease/t20121009_402841094.htm). Table CIPMNM provides this index and components. The total index increased from 55.7 in Jan 2011 to 58.0 in Mar 2012, decreasing to 53.9 in Aug 2013. The index decreased from 56.0 in Nov 2013 to 54.6 in Dec 2013, easing to 53.4 in Jan 2014. The index increased to 55.5 in May 2014. The index of new orders increased from 52.2 in Jan 2012 to 54.3 in Dec 2012 but fell to 50.1 in May 2013, barely above the neutral frontier of 50.0. The index of new orders stabilized at 51.0 in Nov-Dec 2013, easing to 50.9 in Jan 2014. The index of new orders increased to 52.7 in May 2014.

Table CIPMNM, China, Nonmanufacturing Index of Purchasing Managers, %, Seasonally Adjusted

 

Total Index

New Orders

Interm.
Input Prices

Subs Prices

Exp

May 2014

55.5

52.7

54.5

49.0

60.7

Apr

54.8

50.8

52.4

49.4

61.5

Mar

54.5

50.8

52.8

49.5

61.5

Feb

55.0

51.4

52.1

49.0

59.9

Jan

53.4

50.9

54.5

50.1

58.1

Dec 2013

54.6

51.0

56.9

52.0

58.7

Nov

56.0

51.0

54.8

49.5

61.3

Oct

56.3

51.6

56.1

51.4

60.5

Sep

55.4

53.4

56.7

50.6

60.1

Aug

53.9

50.9

57.1

51.2

62.9

Jul

54.1

50.3

58.2

52.4

63.9

Jun

53.9

50.3

55.0

50.6

61.8

May

54.3

50.1

54.4

50.7

62.9

Apr

54.5

50.9

51.1

47.6

62.5

Mar

55.6

52.0

55.3

50.0

62.4

Feb

54.5

51.8

56.2

51.1

62.7

Jan

56.2

53.7

58.2

50.9

61.4

Dec 2012

56.1

54.3

53.8

50.0

64.6

Nov

55.6

53.2

52.5

48.4

64.6

Oct

55.5

51.6

58.1

50.5

63.4

Sep

53.7

51.8

57.5

51.3

60.9

Aug

56.3

52.7

57.6

51.2

63.2

Jul

55.6

53.2

49.7

48.7

63.9

Jun

56.7

53.7

52.1

48.6

65.5

May

55.2

52.5

53.6

48.5

65.4

Apr

56.1

52.7

57.9

50.3

66.1

Mar

58.0

53.5

60.2

52.0

66.6

Feb

57.3

52.7

59.0

51.2

63.8

Jan

55.7

52.2

58.2

51.1

65.3

Notes: Interm.: Intermediate; Subs: Subscription; Exp: Business Expectations

Source: National Bureau of Statistics of China

http://www.stats.gov.cn/english/

Chart CIPMNM provides China’s nonmanufacturing purchasing managers’ index. The index fell from 56.1 in Dec 2012 to 53.9 in Jun 2013. The index recovered to 56.3 in Oct 2013, decreasing marginally to 54.6 in Dec 2013. The index fell to 53.4 in Jan 2014, increasing to 55.5 in May 2014.

Ch-CIPMNMW020140604590640418784_r75

Chart CIPMNM, China, Nonmanufacturing Index of Purchasing Managers, Seasonally Adjusted

Source: National Bureau of Statistics of China

http://www.stats.gov.cn/english/

Table CIPMMFG provides the index of purchasing managers of manufacturing seasonally adjusted of the National Bureau of Statistics of China. The general index (IPM) rose from 50.5 in Jan 2012 to 53.3 in Apr 2012, falling to 49.2 in Aug 2012, rebounding to 50.6 in Dec 2012. The index fell to 50.1 in Jun 2013, barely above the neutral frontier at 50.0, recovering to 51.4 in Nov 2013 but falling to 51.0 in Dec 2013. The index fell to 50.5 in Jan 2014 and 50.8 in May 2014. The index of new orders fell from 57.2 in Apr 2012 to 52.0 in Dec 2012. The index of new orders fell from 54.5 in Nov 2013 to 53.9 in Dec 2013. The index fell to 53.0 in Jan 2014 and 52.3 in May 2014.

Table CIPMMFG, China, Manufacturing Index of Purchasing Managers, %, Seasonally Adjusted

 

IPM

PI

NOI

INV

EMP

SDEL

May 2014

50.8

52.8

52.3

48.0

48.2

50.3

Apr

50.4

52.5

51.2

48.1

48.3

50.1

Mar

50.3

52.7

50.6

47.8

48.3

49.8

Feb

50.2

52.6

50.5

47.4

48.0

49.9

Jan

50.5

53.0

50.9

47.8

48.2

49.8

Dec 2013

51.0

53.9

52.0

47.6

48.7

50.5

Nov

51.4

54.5

52.3

47.8

49.6

50.6

Oct

51.4

54.4

52.5

48.6

49.2

50.8

Sep

51.1

52.9

52.8

48.5

49.1

50.8

Aug

51.0

52.6

52.4

48.0

49.3

50.4

Jul

50.3

52.4

50.6

47.6

49.1

50.1

Jun

50.1

52.0

50.4

47.4

48.7

50.3

May

50.8

53.3

51.8

47.6

48.8

50.8

Apr

50.6

52.6

51.7

47.5

49.0

50.8

Mar

50.9

52.7

52.3

47.5

49.8

51.1

Feb

50.1

51.2

50.1

49.5

47.6

48.3

Jan

50.4

51.3

51.6

50.1

47.8

50.0

Dec 2012

50.6

52.0

51.2

47.3

49.0

48.8

Nov

50.6

52.5

51.2

47.9

48.7

49.9

Oct

50.2

52.1

50.4

47.3

49.2

50.1

Sep

49.8

51.3

49.8

47.0

48.9

49.5

Aug

49.2

50.9

48.7

45.1

49.1

50.0

Jul

50.1

51.8

49.0

48.5

49.5

49.0

Jun

50.2

52.0

49.2

48.2

49.7

49.1

May

50.4

52.9

49.8

45.1

50.5

49.0

Apr

53.3

57.2

54.5

48.5

51.0

49.6

Mar

53.1

55.2

55.1

49.5

51.0

48.9

Feb

51.0

53.8

51.0

48.8

49.5

50.3

Jan

50.5

53.6

50.4

49.7

47.1

49.7

IPM: Index of Purchasing Managers; PI: Production Index; NOI: New Orders Index; EMP: Employed Person Index; SDEL: Supplier Delivery Time Index

Source: National Bureau of Statistics of China

http://www.stats.gov.cn/english/

China estimates the manufacturing index of purchasing managers on the basis of a sample of 820 enterprises (http://www.stats.gov.cn/english/pressrelease/t20121009_402841094.htm). Chart CIPMMFG provides the manufacturing index of purchasing managers. The index fell to 50.1 in Jun 2013. The index decreased from 51.4 in Nov 2013 to 51.0 in Dec 2013. The index eased to 50.8 in May 2014.

Ch-CIPMMFGW020140604588665297271_r75

Chart CIPMMFG, China, Manufacturing Index of Purchasing Managers, Seasonally Adjusted

Source: National Bureau of Statistics of China

http://www.stats.gov.cn/english/

Cumulative growth of China’s GDP in IQ2014 relative to the same period in 2013 was 7.4 percent, as shown in Table VC-GDP. Secondary industry accounts for 44.9 percent of GDP in IQ2014. In IQ2014, industry alone accounts for 39.9 percent of GDP and construction with the remaining 5.0 percent. Tertiary industry accounts for 49.0 percent of cumulative GDP in IQ2014 and primary industry for 6.1 percent. China’s growth strategy consisted of rapid increases in productivity in industry to absorb population from agriculture where incomes are lower (Pelaez and Pelaez, The Global Recession Risk (2007), 56-80). The strategy is shifting to lower growth rates with improvement in living standards. The bottom block of Table VC-GDP provides quarter-on-quarter growth rates of GDP and their annual equivalent. China’s GDP growth decelerated significantly from annual equivalent 10.4 percent in IIQ2011 to 7.4 percent in IVQ2011 and 5.7 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 6.1 percent and to 7.4 percent in IIQ2013, rebounding to 9.5 percent in IIIQ2013. Annual equivalent growth was 7.0 percent in IVQ2013, declining to 5.7 percent in IQ2014.

Table VC-GDP, China, Quarterly Growth of GDP, Current CNY 100 Million and Inflation Adjusted ∆%

Cumulative GDP IQ2014

Value Current CNY Billion

2014 Year-on-Year Constant Prices ∆%

GDP

12,821.3

7.4

Primary Industry

777.6

3.5

  Farming

777.6

3.5

Secondary Industry

5,758.7

7.3

  Industry

5,121.7

7.1

  Construction

637.0

9.3

Tertiary Industry

6,285.0

7.8

  Transport, Storage, Post

691.7

5.7

  Wholesale, Retail Trades

1,298.2

9.8

  Hotel & Catering Services

266.8

5.9

  Financial Intermediation

929.1

9.5

  Real Estate

880.5

3.0

  Other

2,218.7

8.9

Growth in Quarter Relative to Prior Quarter

∆% on Prior Quarter

∆% Annual Equivalent

2014

   

IQ2014

1.4

5.7

2013

   

IVQ2013

1.7

7.0

IIIQ2013

2.3

9.5

IIQ2013

1.8

7.4

IQ2013

1.5

6.1

2012

   

IVQ2012

1.9

7.8

IIIQ2012

2.0

8.2

IIQ2012

2.1

8.7

IQ2012

1.4

5.7

2011

   

IVQ2011

1.8

7.4

IIIQ2011

2.2

9.1

IIQ2011

2.5

10.4

IQ2011

2.3

9.5

Source: National Bureau of Statistics of China http://www.stats.gov.cn/english/

Growth of China’s GDP in IQ2014 relative to the same period in 2013 was 7.4 percent, as shown in Table VC-GDPA. Secondary industry accounts for 44.9 percent of GDP of which industry alone for 39.9 percent in cumulative IQ2014 and construction with the remaining 5.0 percent. Tertiary industry accounts for 49.0 percent of GDP in cumulative IQ2014 and primary industry for 6.1 percent. China’s growth strategy consisted of rapid increases in productivity in industry to absorb population from agriculture where incomes are lower (Pelaez and Pelaez, The Global Recession Risk (2007), 56-80). The strategy is changing to lower growth rates while improving living standards. GDP growth decelerated from 12.1 percent in IQ2010 and 11.2 percent in IIQ2010 to 7.7 percent in IQ2013, 7.5 percent in IIQ2013 and 7.8 percent in IIIQ2013. GDP grew 7.4 percent in IVQ2013 relative to a year earlier and 1.7 percent relative to IIIQ2013, which is equivalent to 7.0 percent per year. GDP grew 7.4 percent in IQ2014 relative to a year earlier and 1.4 percent in IQ2014 that is equivalent to 5.7 percent per year.

Table VC-GDPA, China, Growth Rate of GDP, ∆% Relative to a Year Earlier and ∆% Relative to Prior Quarter

 

IQ 2013

IIQ 2013

IIIQ 2013

IVQ 2013

IQ

2014

     

GDP

7.7

7.5

7.8

7.7

7.4

     

Primary Industry

3.4

3.0

3.4

4.0

3.5

     

Secondary Industry

7.8

7.6

7.8

7.8

7.3

     

Tertiary Industry

8.3

8.3

8.4

8.3

7.1

     

GDP ∆% Relative to a Prior Quarter

1.5

1.8

2.3

1.7

1.4

     
 

IQ 2011

IIQ 2011

IIIQ 2011

IVQ 2011

IQ 

2012

IIQ 2012

IIIQ 2012

IVQ 2012

GDP

9.7

9.5

9.1

8.9

8.1

7.6

7.4

7.9

Primary Industry

3.5

3.2

3.8

4.5

3.8

4.3

4.2

4.5

Secondary Industry

11.1

11.0

10.8

10.6

9.1

8.3

8.1

8.1

Tertiary Industry

9.1

9.2

9.0

8.9

7.5

7.7

7.9

8.1

GDP ∆% Relative to a Prior Quarter

2.3

2.5

2.2

1.8

1.4

2.1

2.0

1.9

 

IQ 2010

IIQ 2010

IIIQ 2010

IVQ 2010

       

GDP

12.1

11.2

10.7

12.1

       

Primary Industry

3.8

3.6

4.0

3.8

       

Secondary Industry

14.5

13.3

12.6

14.5

       

Tertiary Industry

10.5

9.9

9.7

10.5

       

Source: National Bureau of Statistics of China http://www.stats.gov.cn/english/

Chart VC-GDP of the National Bureau of Statistics of China provides annual value and growth rates of GDP. China’s GDP growth in 2013 is still high at 7.7 percent but at the lowest rhythm in five years.

ChVC-GDPW020140224376367229279

Chart VC-GDP, China, Gross Domestic Product, Million Yuan and ∆%, 2009-2013

Source: National Bureau of Statistics of China http://www.stats.gov.cn/english/

Chart VC-FXR provides China’s foreign exchange reserves. FX reserves grew from $2399.2 billion in 2009 to $3821.3 billion in 2013 driven by high growth of China’s trade surplus.

ChVC-FXRW020140224376367389226

Chart VC-FXR, China, Foreign Exchange Reserves, 2009-2013

Source: National Bureau of Statistics of China http://www.stats.gov.cn/english

Chart VC-Trade provides China’s imports and exports. Exports exceeded imports with resulting large trade balance surpluses that increased foreign exchange reserves.

ChVC-TradeW020140224376367380700

Chart VC-Trade, China, Imports and Exports of Goods, 2009-2013, $100 Million US Dollars

Source: National Bureau of Statistics of China http://www.stats.gov.cn/english

The HSBC Flash China Manufacturing Purchasing Managers’ Index (PMI) compiled by Markit (http://www.markiteconomics.com/Survey/PressRelease.mvc/4c63770d8c2c4bdaacecda6d436d4cbf) is stabilizing. The overall Flash HSBC China Manufacturing PMI increased from 48.1 in Apr to 49.7 in May, while the Flash HSBC China Manufacturing Output Index increased from 47.9 in Apr to 50.3 in May, indicating moderate expansion. Exports orders changed direction to expansion. Hongbin Qu, Chief Economist, China and Co-Head of Asian Economic Research at HSBC, finds that the index is consistent with manufacturing stabilizing at weak levels, requiring policy to stabilize growth in the rest of the year (http://www.markiteconomics.com/Survey/PressRelease.mvc/4c63770d8c2c4bdaacecda6d436d4cbf). The HSBC China Services PMI, compiled by Markit, shows marginal improvement in business activity in China with the HSBC Composite Output, combining manufacturing and services, increasing from 49.5 in Apr to 50.2 in May (http://www.markiteconomics.com/Survey/PressRelease.mvc/e0afee6e04114be2824bfd243cd53726). Hongbin Qu, Chief Economist, China and Co-Head of Asian Economic Research at HSBC, finds need of policies to prevent decelerating growth (http://www.markiteconomics.com/Survey/PressRelease.mvc/e0afee6e04114be2824bfd243cd53726). The HSBC Business Activity index decreased from 51.4 in Apr to 50.7 in May (http://www.markiteconomics.com/Survey/PressRelease.mvc/e0afee6e04114be2824bfd243cd53726). Hongbin Qu, Chief Economist, China & Co-Head of Asian Economic Research at HSBC, finds that services continue improving with relatively slow growth impulse (http://www.markiteconomics.com/Survey/PressRelease.mvc/e0afee6e04114be2824bfd243cd53726). The HSBC Purchasing Managers’ Index (PMI), compiled by Markit, increased to 49.4 in May from 48.1 in Apr, indicating marginally deteriorating manufacturing (http://www.markiteconomics.com/Survey/PressRelease.mvc/57b7604739e14658a53ec5462db5cb36). New export orders increased at the fastest rate since Apr 2010 with unchanged total new orders. Hongbin Qu, Chief Economist, China and Co-Head of Asian Economic Research at HSBC, finds possible stability of demand in China with possible and need of policy enhancement (http://www.markiteconomics.com/Survey/PressRelease.mvc/57b7604739e14658a53ec5462db5cb36). Table CNY provides the country data table for China.

Table CNY, China, Economic Indicators

Price Indexes for Industry

May 12-month ∆%: minus 1,4

May month ∆%: -0.1
Blog 6/15/14

Consumer Price Index

May month ∆%: 0.1 May 12 months ∆%: 2.5
Blog 6/15/14

Value Added of Industry

May month ∆%: 0.71

Jan-May 2014/Jan-Apr 2013 ∆%: 8.7
Blog 6/15/14

GDP Growth Rate

Year IQ2014 ∆%: 7.4
Quarter IQ2014 AE ∆%: 5.7
Blog 4/20/14

Investment in Fixed Assets

Total Jan-May 2013 ∆%: 17.2

Real estate development: 14.7
Blog 6/15/14

Retail Sales

May month ∆%: 1.16
May 12 month ∆%: 12.5

Jan-May ∆%: 12.1
Blog 6/15/14

Trade Balance

May balance $35.92 billion
Exports 12M ∆% 7.0
Imports 12M ∆% -1.6

Cumulative Jan-May: $71.11 billion
Blog 6/15/14

Links to blog comments in Table CNY:

6/15/2014 http://cmpassocregulationblog.blogspot.com/2014/06/financialgeopolitical-risks-recovery.html

4/20/14 http://cmpassocregulationblog.blogspot.com/2014/04/imf-view-world-inflation-waves-squeeze.html

VD Euro Area. Table VD-EUR provides yearly growth rates of the combined GDP of the members of the European Monetary Union (EMU) or euro area since 1996. Growth was very strong at 3.3 percent in 2006 and 3.0 percent in 2007. The global recession had strong impact with growth of only 0.4 percent in 2008 and decline of 4.4 percent in 2009. Recovery was at lower growth rates of 2.0 percent in 2010 and 1.6 percent in 2011. EUROSTAT estimates growth of GDP of the euro area of minus 0.7 percent in 2012 and minus 0.4 percent in 2013 but 1.1 percent in 2014 and 1.7 percent in 2015.

Table VD-EUR, Euro Area, Yearly Percentage Change of Harmonized Index of Consumer Prices, Unemployment and GDP ∆%

Year

HICP ∆%

Unemployment
%

GDP ∆%

1999

1.2

9.6

2.9

2000

2.2

8.8

3.8

2001

2.4

8.2

2.0

2002

2.3

8.5

0.9

2003

2.1

9.0

0.7

2004

2.2

9.2

2.2

2005

2.2

9.1

1.7

2006

2.2

8.4

3.3

2007

2.2

7.5

3.0

2008

3.3

7.6

0.4

2009

0.3

9.6

-4.5

2010

1.6

10.1

1.9

2011

2.7

10.1

1.6

2012

2.5

11.3

-0.7

2013*

1.3

12.0

-0.4

2014*

   

1.1

2015*

   

1.7

*EUROSTAT forecast Source: EUROSTAT

http://epp.eurostat.ec.europa.eu/portal/page/portal/eurostat/home/

http://epp.eurostat.ec.europa.eu/portal/page/portal/statistics/search_database

The GDP of the euro area in 2012 in current US dollars in the dataset of the World Economic Outlook (WEO) of the International Monetary Fund (IMF) is $12,199.1 billion or 16.9 percent of world GDP of $72,216.4 billion (http://www.imf.org/external/pubs/ft/weo/2012/02/weodata/index.aspx). The sum of the GDP of France $2613.9 billion with the GDP of Germany of $3429.5 billion, Italy of $2014.1 billion and Spain $1323.5 billion is $9381.0 billion or 76.9 percent of total euro area GDP and 13.0 percent of World GDP. The four largest economies account for slightly more than three quarters of economic activity of the euro area. Table VD-EUR1 is constructed with the dataset of EUROSTAT, providing growth rates of the euro area as a whole and of the largest four economies of Germany, France, Italy and Spain annually from 1996 to 2011 with the estimate of 2012 and forecasts for 2013, 2014 and 2015 by EUROSTAT. The impact of the global recession on the overall euro area economy and on the four largest economies was quite strong. There was sharp contraction in 2009 and growth rates have not rebounded to earlier growth with exception of Germany in 2010 and 2011.

Table VD-EUR1, Euro Area, Real GDP Growth Rate, ∆%

 

Euro Area

Germany

France

Italy

Spain

2015*

1.7

1.9

1.7

1.2

1.7

2014*

1.1

1.7

0.9

0.7

0.5

2013*

-0.4

0.4

0.2

-1.9

-1.2

2012

-0.7

0.7

0.0

-2.4

-1.6

2011

1.6

3.3

2.0

0.4

0.1

2010

1.9

4.0

1.7

1.7

-0.2

2009

-4.5

-5.1

-3.1

-5.5

-3.8

2008

0.4

1.1

-0.1

-1.2

0.9

2007

3.0

3.3

2.3

1.7

3.5

2006

3.3

3.7

2.5

2.2

4.1

2005

1.7

0.7

1.8

0.9

3.6

2004

2.2

1.2

2.5

1.7

3.3

2003

0.7

-0.4

0.9

0.0

3.1

2002

0.9

0.0

0.9

0.5

2.7

2001

2.0

1.5

1.8

1.9

3.7

2000

3.8

3.1

3.7

3.7

5.0

1999

2.9

1.9

3.3

1.5

4.7

1998

2.8

1.9

3.4

1.4

4.5

1997

2.6

1.7

2.2

1.9

3.9

1996

1.5

0.8

1.1

1.1

2.5

Source: EUROSTAT

http://epp.eurostat.ec.europa.eu/portal/page/portal/eurostat/home/

http://epp.eurostat.ec.europa.eu/portal/page/portal/statistics/search_database

The Flash Eurozone PMI Composite Output Index of the Markit Flash Eurozone PMI®, combining activity in manufacturing and services, decreased from 54.0 in Apr to 53.9 in May (http://www.markiteconomics.com/Survey/PressRelease.mvc/b1ef2c10fe5d406ab003ebab100f7e39). Chris Williamson, Chief Economist at Markit, finds that the Markit Flash Eurozone PMI index suggests that the index is consistent with growth of GDP as high as 0.5 percent in IIQ2014 (http://www.markiteconomics.com/Survey/PressRelease.mvc/b1ef2c10fe5d406ab003ebab100f7e39). The Markit Eurozone PMI® Composite Output Index, combining services and manufacturing activity with close association with GDP decreased from 54.0 in Apr, to 53.5 in May, which is close to the fastest in about three years (http://www.markiteconomics.com/Survey/PressRelease.mvc/ee66d546cfb148bfa13b8331c0f337ac). Chris Williamson, Chief Economist at Markit, finds growth of GDP at 0.4 to 0.5 percent in IIQ2014 (http://www.markiteconomics.com/Survey/PressRelease.mvc/ee66d546cfb148bfa13b8331c0f337ac). The Markit Eurozone Services Business Activity Index decreased from 53.1 in Apr to 53.2 in May (http://www.markiteconomics.com/Survey/PressRelease.mvc/ee66d546cfb148bfa13b8331c0f337ac). The Markit Eurozone Manufacturing PMI® decreased to 52.2 in May from 53.4 in Apr (http://www.markiteconomics.com/Survey/PressRelease.mvc/6a52f60530914812bb4fa9fdb053994c). New orders and export orders increased for the eleventh consecutive month. Chris Williamson, Chief Economist at Markit, finds industrial growth in the euro area at a quarterly rate around 0.5 percent (http://www.markiteconomics.com/Survey/PressRelease.mvc/6a52f60530914812bb4fa9fdb053994c). Table EUR provides the data table for the euro area.

Table EUR, Euro Area Economic Indicators

GDP

IQ2014 ∆% 0.2; IQ2014/IVQ2013 ∆% 0.9 Blog 6/8/14

Unemployment 

Apr 2014: 11.7 % unemployment rate; Apr 2014: 18.751 million unemployed

Blog 6/8/14

HICP

May month ∆%: -0.1

12 months May ∆%: 0.5
Blog 6/22/14

Producer Prices

Euro Zone industrial producer prices Apr ∆%: -0.1
Apr 12-month ∆%: -1.2
Blog 6/8/14

Industrial Production

Apr month ∆%: 0.8; Apr 12 months ∆%: 1.4
Blog 6/15/14

Retail Sales

Apr month ∆%: 0.4
Apr 12 months ∆%: 2.4
Blog 6/8/14

Confidence and Economic Sentiment Indicator

Sentiment 102.7 May 2014

Consumer minus 7.1 May 2014

Blog 6/1/14

Trade

Jan-Apr 2014/Jan-Apr 2013 Exports ∆%: 0.5
Imports ∆%: -0.6

Apr 2014 12-month Exports ∆% 1.5 Imports ∆% -2.8
Blog 6/15/14

Links to blog comments in Table EUR:

6/15/2014 http://cmpassocregulationblog.blogspot.com/2014/06/financialgeopolitical-risks-recovery.html

6/8/14 http://cmpassocregulationblog.blogspot.com/2014/06/financial-risks-rules-discretionary.html

6/1/14 http://cmpassocregulationblog.blogspot.com/2014/06/financial-instability-mediocre-cyclical.html

VE Germany. Table VE-DE provides yearly growth rates of the German economy from 1971 to 2013, price adjusted chain-linked and price and calendar-adjusted chain-linked. Germany’s GDP fell 5.1 percent in 2009 after growing below trend at 1.1 percent in 2008. Recovery has been robust in contrast with other advanced economies. The German economy grew at 4.0 percent in 2010, 3.3 percent in 2011 and 0.7 percent in 2012. Growth decelerated to 0.4 percent in 2013.

The Federal Statistical Agency of Germany analyzes the fall and recovery of the German economy (http://www.destatis.de/jetspeed/portal/cms/Sites/destatis/Internet/EN/Content/Statistics/VolkswirtschaftlicheGesamtrechnungen/Inlandsprodukt/Aktuell,templateId=renderPrint.psml):

“The German economy again grew strongly in 2011. The price-adjusted gross domestic product (GDP) increased by 3.0% compared with the previous year. Accordingly, the catching-up process of the German economy continued during the second year after the economic crisis. In the course of 2011, the price-adjusted GDP again exceeded its pre-crisis level. The economic recovery occurred mainly in the first half of 2011. In 2009, Germany experienced the most serious post-war recession, when GDP suffered a historic decline of 5.1%. The year 2010 was characterised by a rapid economic recovery (+3.7%).”

Table VE-DE, Germany, GDP ∆% on Prior Year

 

Price Adjusted Chain-Linked

Price- and Calendar-Adjusted Chain Linked

2013

0.4

0.5

2012

0.7

0.9

2011

3.3

3.4

2010

4.0

3.8

2009

-5.1

-5.1

2008

1.1

0.8

2007

3.3

3.4

2006

3.7

3.9

2005

0.7

0.8

2004

1.2

0.7

2003

-0.4

-0.4

2002

0.0

0.0

2001

1.5

1.6

2000

3.1

3.3

1999

1.9

1.7

1998

1.9

1.7

1997

1.7

1.8

1996

0.8

0.8

1995

1.7

1.8

1994

2.5

2.5

1993

-1.0

-1.0

1992

1.9

1.5

1991

5.1

5.2

1990

5.3

5.5

1989

3.9

4.0

1988

3.7

3.4

1987

1.4

1.3

1986

2.3

2.3

1985

2.3

2.3

1984

2.8

2.9

1983

1.6

1.5

1982

-0.4

-0.5

1981

0.5

0.6

1980

1.4

1.3

1979

4.2

4.3

1978

3.0

3.1

1977

3.3

3.5

1976

4.9

4.5

1975

-0.9

-0.9

1974

0.9

1.0

1973

4.8

5.0

1972

4.3

4.3

1971

3.1

3.0

1970

NA

NA

Source: Statistisches Bundesamt Deutschland (Destatis)

https://www.destatis.de/EN/PressServices/Press/pr/2014/02/PE14_048_811.html

https://www.destatis.de/EN/PressServices/Press/pr/2013/08/PE13_278_811.html https://www.destatis.de/EN/PressServices/Press/pr/2013/11/PE13_381_811.html

https://www.destatis.de/EN/PressServices/Press/pr/2014/01/PE14_016_811.html

https://www.destatis.de/DE/PresseService/Presse/Pressekonferenzen/2014/BIP2013/Pressebroschuere_BIP2013.html

https://www.destatis.de/EN/PressServices/Press/pr/2014/05/PE14_167_811.html

The Flash Germany Composite Output Index of the Markit Flash Germany PMI®, combining manufacturing and services, was unchanged from 56.1 in Apr to 56.1 in May. The index of manufacturing output reached 55.3 in May, decreasing from 58.8 in Apr, while the index of services increased to 56.4 in May from 54.7 in Apr. The overall Flash Germany Manufacturing PMI® decreased from 54.1 in Apr to 52.9 in May (http://www.markiteconomics.com/Survey/PressRelease.mvc/38439f40599a481591f420a71f97a9d1). New export work volumes increased for a tenth consecutive month with business originating in the US, Europe and Asia. Oliver Kolodseike, Economist at Markit, finds continuing expansion of Germany’s private sector with strength in new orders and activity (http://www.markiteconomics.com/Survey/PressRelease.mvc/38439f40599a481591f420a71f97a9d1). The Markit Germany Composite Output Index of the Markit Germany Services PMI®, combining manufacturing and services with close association with Germany’s GDP, decreased from 56.1 in Apr to 55.6 in May (http://www.markiteconomics.com/Survey/PressRelease.mvc/ff8d9f0c27f540ceb7dfc0610cdbbeb5). Oliver Kolodseike, Senior Economist at Markit and author of the report, finds prospects of strength of GDP in IIQ2014 (http://www.markiteconomics.com/Survey/PressRelease.mvc/ff8d9f0c27f540ceb7dfc0610cdbbeb5). The Germany Services Business Activity Index increased from 54.7 in Apr to 56.0 in May (http://www.markiteconomics.com/Survey/PressRelease.mvc/ff8d9f0c27f540ceb7dfc0610cdbbeb5). The Markit/BME Germany Purchasing Managers’ Index® (PMI®), showing close association with Germany’s manufacturing conditions, decreased from 54.1 in Apr to 52.3 in May (http://www.markiteconomics.com/Survey/PressRelease.mvc/faaf6eca88b84acb9c22661b96aac0b6). New export orders increased for the tenth consecutive month. Oliver Kolodseike, Senior Economist at Markit and author of the report, finds manufacturing average PMI in IIQ2014 still growing at the second fastest pace in about three years (http://www.markiteconomics.com/Survey/PressRelease.mvc/faaf6eca88b84acb9c22661b96aac0b6).Table DE provides the country data table for Germany.

Table DE, Germany, Economic Indicators

GDP

IQ2014 0.8 ∆%; I/Q2014/IQ2013 ∆% 2.5

2013/2012: 0.4%

GDP ∆% 1970-2013

Blog 8/26/12 5/27/12 11/25/12 2/24/13 5/19/13 5/26/13 8/18/13 8/25/13 11/17/13 11/24/13 1/26/14 2/16/14 3/2/14 5/18/14 5/25/14

Consumer Price Index

May month NSA ∆%: -0.1
May 12-month NSA ∆%: 0.9
Blog 6/15/14

Producer Price Index

May month ∆%: -0.2 NSA, 0.0 CSA
12-month NSA ∆%: -0.8
Blog 6/22/14

Industrial Production

MFG Apr month CSA ∆%: 0.2
12-month NSA: -1.1
Blog 6/8/14

Machine Orders

MFG Apr month ∆%: 3.1
Apr 12-month ∆%: 3.4
Blog 6/8/14

Retail Sales

Apr Month ∆% -0.9

12-Month ∆% 3.4

Blog 6/1/14

Employment Report

Unemployment Rate SA Apr 5.2%
Blog 6/1/14

Trade Balance

Exports Apr 12-month NSA ∆%: -0.2
Imports Apr 12 months NSA ∆%: 0.6
Exports Apr month CSA ∆%: 3.0; Imports Apr month CSA 0.1

Blog 6/8/14

Links to blog comments in Table DE:

6/15/2014 http://cmpassocregulationblog.blogspot.com/2014/06/financialgeopolitical-risks-recovery.html

6/8/14 http://cmpassocregulationblog.blogspot.com/2014/06/financial-risks-rules-discretionary.html

6/1/14 http://cmpassocregulationblog.blogspot.com/2014/06/financial-instability-mediocre-cyclical.html

5/25/14 http://cmpassocregulationblog.blogspot.com/2014/05/united-states-commercial-banks-assets.html

5/18/14 http://cmpassocregulationblog.blogspot.com/2014/05/world-inflation-waves-squeeze-of.html

3/2/14 http://cmpassocregulationblog.blogspot.com/2014/03/financial-risks-slow-cyclical-united.html

2/16/14 http://cmpassocregulationblog.blogspot.com/2014/02/theory-and-reality-of-cyclical-slow.html

1/26/14 http://cmpassocregulationblog.blogspot.com/2014/01/capital-flows-exchange-rates-and.html

11/24/13 http://cmpassocregulationblog.blogspot.com/2013/11/risks-of-zero-interest-rates-world.html

11/17/13 http://cmpassocregulationblog.blogspot.com/2013/11/risks-of-unwinding-monetary-policy.html

8/25/13 http://cmpassocregulationblog.blogspot.com/2013/08/interest-rate-risks-duration-dumping.html

8/18/13 http://cmpassocregulationblog.blogspot.com/2013/08/duration-dumping-and-peaking-valuations.html

VF France. Table VF-FR provides growth rates of GDP of France with the estimates of Institut National de la Statistique et des Études Économiques (INSEE). The long-term rate of GDP growth of France from IVQ1949 to IVQ2012 is quite high at 3.2 percent. France’s growth rates were quite high in the four decades of the 1950s, 1960, 1970s and 1980s with an average growth rate of 4.0 percent compounding the average rates in the decades and discounting to one decade. The growth impulse diminished with 2.0 percent in the 1990s and 1.8 percent from 2000 to 2007. The average growth rate from 2000 to 2012, using fourth quarter data, is 1.1 percent because of the sharp impact of the global recession from IVQ2007 to IIQ2009. The growth rate from 2000 to 2012 is 1.1 percent. 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 US 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 the G7 in Japan and France in the second half of the 1990s but significantly lower than the acceleration of 1.3 percentage points per year in the US. Lucas (2011May) compares growth of the G7 economies (US, UK, Japan, Germany, France, Italy and Canada) and Spain, finding that catch-up growth with earlier rates for the US and UK stalled in the 1970s.

Table VF-FR, France, Average Growth Rates of GDP Fourth Quarter, 1949-2012

Period

Average ∆%

1949-2013

3.2

2000-2013

1.1

2000-2012

1.1

2000-2007

1.8

1990-1999

2.0

1980-1989

2.6

1970-1979

3.7

1960-1969

5.7

1950-1959

4.2

Source: Institut National de la Statistique et des Études Économiques

http://www.insee.fr/en/themes/info-rapide.asp?id=26&date=20140515

The Markit Flash France Composite Output Index decreased from 50.6 in Apr to 49.3 in May (http://www.markiteconomics.com/Survey/PressRelease.mvc/d349dc59325e4b8393f119abfcfe9764). Jack Kennedy, Senior Economist at Markit and author of the report, finds continuing weak performance in IIQ2014 (http://www.markiteconomics.com/Survey/PressRelease.mvc/d349dc59325e4b8393f119abfcfe9764). The Markit France Composite Output Index, combining services and manufacturing with close association with French GDP, decreased from 50.6 in Apr to 49.3 in May, indicating marginal contraction (http://www.markiteconomics.com/Survey/PressRelease.mvc/622d5a75f32d4c13b89df0524159cca8). Jack Kennedy, Senior Economist at Markit and author of the France Services PMI®, finds standstill in demand (http://www.markiteconomics.com/Survey/PressRelease.mvc/622d5a75f32d4c13b89df0524159cca8). The Markit France Services Activity index decreased from 50.4 in Apr to 49.1 in May (http://www.markiteconomics.com/Survey/PressRelease.mvc/622d5a75f32d4c13b89df0524159cca8). The Markit France Manufacturing Purchasing Managers’ Index® decreased to 49.6 in May from 51.2 in Apr (http://www.markiteconomics.com/Survey/PressRelease.mvc/09a850c5861b4429a8f101fd8b329be0). Jack Kennedy, Senior Economist at Markit and author of the France Manufacturing PMI®, finds deteriorating conditions because of weakness in new orders (http://www.markiteconomics.com/Survey/PressRelease.mvc/09a850c5861b4429a8f101fd8b329be0). Table FR provides the country data table for France.

Table FR, France, Economic Indicators

CPI

May month ∆% 0.0
12 months ∆%: 0.7
6/15/14

PPI

Apr month ∆%: -0.2
Apr 12 months ∆%: -0.9

Blog 6/1/14

GDP Growth

IQ2014/IVQ2013 ∆%:0.0
IQ2014/IQ2013 ∆%: 0.8
Blog 3/31/13 5/19/12 6/30/13 9/29/13 11/17/13 12/29/13 2/16/14 4/6/14 5/18/14

Industrial Production

Apr ∆%:
Manufacturing 0.3 12-Month ∆%: 0.0
Manufacturing 1.5
Blog 6/15/14

Consumer Spending

Manufactured Goods
Apr ∆%: 0.0 Apr 12-Month Manufactured Goods
∆%: 1.2
Blog 6/1/14

Employment

Unemployment Rate: IQ2014 9.7%
Blog 6/8/14

Trade Balance

Apr Exports ∆%: month minus 0.7, 12 months minus 6.4

Apr Imports ∆%: month minus 2.9, 12 months minus 5.5

Blog 6/8/14

Confidence Indicators

Historical average 100

May Mfg Business Climate 99.7

Blog 6/1/14

Links to blog comments in Table FR:

6/15/2014 http://cmpassocregulationblog.blogspot.com/2014/06/financialgeopolitical-risks-recovery.html

6/8/14 http://cmpassocregulationblog.blogspot.com/2014/06/financial-risks-rules-discretionary.html

6/1/14 http://cmpassocregulationblog.blogspot.com/2014/06/financial-instability-mediocre-cyclical.html

5/18/14 http://cmpassocregulationblog.blogspot.com/2014/05/world-inflation-waves-squeeze-of.html

4/6/14 http://cmpassocregulationblog.blogspot.com/2014/04/interest-rate-risks-twenty-eight.html

2/16/14 http://cmpassocregulationblog.blogspot.com/2014/02/theory-and-reality-of-cyclical-slow.html

12/29/13 http://cmpassocregulationblog.blogspot.com/2013/12/collapse-of-united-states-dynamism-of.html

11/17/13 http://cmpassocregulationblog.blogspot.com/2013/11/risks-of-unwinding-monetary-policy.html

9/29/13 http://cmpassocregulationblog.blogspot.com/2013/09/mediocre-and-decelerating-united-states.html

6/30/13 http://cmpassocregulationblog.blogspot.com/2013/06/tapering-quantitative-easing-policy-and.html

5/19/13 http://cmpassocregulationblog.blogspot.com/2013/05/word-inflation-waves-squeeze-of.html

Table IT, Italy, Economic Indicators

Consumer Price Index

May month ∆%: -0.1
May 12-month ∆%: 0.5
Blog 6/15/14

Producer Price Index

Apr month ∆%: -0.3
Apr 12-month ∆%: -1.8

Blog 6/1/14

GDP Growth

IQ2014/IVQ2013 SA ∆%: minus 0.1
IQ2014/IQ2013 NSA ∆%: minus 0.5
Blog 3/17/13 6/16/13 8/11/13 9/15/13 11/17/13 12/15/13 2/16/14 3/16/14 5/18/14 6/15/14

Labor Report

Apr 2014

Participation rate 63.6%

Employment ratio 55.4%

Unemployment rate 12.6%

Youth Unemployment 43.3%

Blog 6/8/14

Industrial Production

Apr month ∆%: 0.7
12 months CA ∆%: 1.6
Blog 6/15/14

Retail Sales

Mar month ∆%: -0.2

Mar 12-month ∆%: -3.5

Blog 5/25/14

Business Confidence

Mfg May 99.7, Jan 97.7

Construction May 72.9, Jan 75.9

Blog 6/1/14

Trade Balance

Balance Apr SA €3927 million versus Mar €3612
Exports Apr month SA ∆%: 0.4; Imports A[r month ∆%: minus 0.6
Exports 12 months Apr NSA ∆%: 2.0 Imports 12 months NSA ∆%: -2.9
Blog 6/22/14

Links to blog comments in Table IT:

6/15/2014 http://cmpassocregulationblog.blogspot.com/2014/06/financialgeopolitical-risks-recovery.html

6/8/14 http://cmpassocregulationblog.blogspot.com/2014/06/financial-risks-rules-discretionary.html

6/1/14 http://cmpassocregulationblog.blogspot.com/2014/06/financial-instability-mediocre-cyclical.html

5/25/14 http://cmpassocregulationblog.blogspot.com/2014/05/united-states-commercial-banks-assets.html

5/18/14 http://cmpassocregulationblog.blogspot.com/2014/05/world-inflation-waves-squeeze-of.html

3/16/2014 http://cmpassocregulationblog.blogspot.com/2014/03/global-financial-risks-recovery-without.html

2/16/14 http://cmpassocregulationblog.blogspot.com/2014/02/theory-and-reality-of-cyclical-slow.html

12/15/13 http://cmpassocregulationblog.blogspot.com/2013/12/theory-and-reality-of-secular.html

11/17/13 http://cmpassocregulationblog.blogspot.com/2013/11/risks-of-unwinding-monetary-policy.html

9/15/13 http://cmpassocregulationblog.blogspot.com/2013/09/recovery-without-hiring-ten-million.html

8/11/13 http://cmpassocregulationblog.blogspot.com/2013/08/recovery-without-hiring-loss-of-full.html

6/16/13 http://cmpassocregulationblog.blogspot.com/2013/06/recovery-without-hiring-seven-million.html

3/17/13 http://cmpassocregulationblog.blogspot.com/2013/03/recovery-without-hiring-ten-million.html

VG Italy. Table VG-IT provides percentage changes in a quarter relative to the same quarter a year earlier of Italy’s expenditure components in chained volume measures. GDP has been declining at sharper rates from minus 0.6 percent in IVQ2011 to minus 2.8 percent in IVQ2012, minus 2.4 percent in IQ2013, minus 2.2 percent in IIQ2013 and minus 1.9 percent in IIIQ2013. GDP fell 0.9 percent in IVQ2013 relative to a year earlier. GDP fell 0.9 percent in IQ2014 relative to a year earlier. The aggregate demand components of consumption and gross fixed capital formation (GFCF) have been declining at faster rates. The rates of decline of GDP, consumption and GFCF were somewhat milder in IIIQ2013 and IVQ2013 than in IQ2013 and the final three quarters of 2012. In IQ2014, consumption fell 0.3 percent relative to a year earlier and GFCF fell 1.3 percent.

Table VG-IT, Italy, GDP and Expenditure Components, Chained Volume Measures, Quarter ∆% on Same Quarter Year Earlier

 

GDP

Imports

Consumption

GFCF

Exports

2013

         

IQ2014

-0.5

1.3

-0.3

-1.3

3.3

IVQ

-0.9

-0.1

-1.1

-2.8

1.0

IIIQ

-1.9

-2.0

-1.8

-4.6

-0.4

IIQ

-2.2

-4.4

-2.8

-4.8

0.0

IQ

-2.4

-5.0

-3.0

-6.1

-0.7

2012

         

IVQ

-2.8

-6.4

-4.0

-7.3

1.0

IIIQ

-2.6

-7.1

-4.0

-8.3

2.0

IIQ

-2.4

-7.0

-3.4

-8.5

2.2

IQ

-1.7

-7.9

-3.2

-8.1

3.0

2011

         

IVQ

-0.6

-6.8

-1.9

-3.8

3.5

IIIQ

0.4

0.6

-1.1

-2.4

6.1

IIQ

1.1

3.6

0.3

-1.0

7.5

IQ

1.4

9.1

0.6

0.6

11.0

2010

         

IVQ

2.2

15.6

1.0

1.3

13.4

IIIQ

1.8

13.2

1.2

2.3

12.1

IIQ

1.8

13.4

0.8

1.0

12.0

IQ

0.9

7.0

1.0

-2.4

7.1

2009

         

IVQ

-3.5

-6.3

0.2

-8.2

-9.3

IIIQ

-5.0

-12.2

-0.8

-12.6

-16.4

IIQ

-6.6

-17.9

-1.4

-13.6

-21.4

IQ

-6.9

-17.2

-1.8

-12.4

-22.8

2008

         

IVQ

-3.0

-8.2

-0.9

-8.3

-10.3

IIIQ

-1.9

-5.0

-0.8

-4.5

-3.9

IIQ

-0.2

-0.1

-0.3

-1.5

0.4

IQ

0.5

1.7

0.1

-1.0

2.9

GFCF: Gross Fixed Capital Formation

Source: Istituto Nazionale di Statistica

http://www.istat.it/it/archivio/124710

The Markit/ADACI Business Activity Index increased from 51.1 in Apr to 51.6 in May (http://www.markiteconomics.com/Survey/PressRelease.mvc/361c2cc3ce8c400aa0bea756f27388cb). Phil Smith, Economist at Markit and author of the Italy Services PMI®, finds limited contribution of services to growth with recovery mostly in production (http://www.markiteconomics.com/Survey/PressRelease.mvc/361c2cc3ce8c400aa0bea756f27388cb). The Markit/ADACI Purchasing Managers’ Index® (PMI®), decreased from 54.0 in Apr to 53.2 in May, which constitutes strong improvement in Italy’s manufacturing (http://www.markiteconomics.com/Survey/PressRelease.mvc/fa26dce1f4b446c9b05dd01256627789). New export orders was strong. Phil Smith, Economist at Markit and author of the Italian Manufacturing PMI®, finds continuing growth of manufacturing (http://www.markiteconomics.com/Survey/PressRelease.mvc/fa26dce1f4b446c9b05dd01256627789). Table IT provides the country data table for Italy.

Table IT, Italy, Economic Indicators

Consumer Price Index

May month ∆%: -0.1
May 12-month ∆%: 0.5
Blog 6/15/14

Producer Price Index

Apr month ∆%: -0.3
Apr 12-month ∆%: -1.8

Blog 6/1/14

GDP Growth

IQ2014/IVQ2013 SA ∆%: minus 0.1
IQ2014/IQ2013 NSA ∆%: minus 0.5
Blog 3/17/13 6/16/13 8/11/13 9/15/13 11/17/13 12/15/13 2/16/14 3/16/14 5/18/14 6/15/14

Labor Report

Apr 2014

Participation rate 63.6%

Employment ratio 55.4%

Unemployment rate 12.6%

Youth Unemployment 43.3%

Blog 6/8/14

Industrial Production

Apr month ∆%: 0.7
12 months CA ∆%: 1.6
Blog 6/15/14

Retail Sales

Mar month ∆%: -0.2

Mar 12-month ∆%: -3.5

Blog 5/25/14

Business Confidence

Mfg May 99.7, Jan 97.7

Construction May 72.9, Jan 75.9

Blog 6/1/14

Trade Balance

Balance Apr SA €3927 million versus Mar €3612
Exports Apr month SA ∆%: 0.4; Imports A[r month ∆%: minus 0.6
Exports 12 months Apr NSA ∆%: 2.0 Imports 12 months NSA ∆%: -2.9
Blog 6/22/14

Links to blog comments in Table IT:

6/15/2014 http://cmpassocregulationblog.blogspot.com/2014/06/financialgeopolitical-risks-recovery.html

6/8/14 http://cmpassocregulationblog.blogspot.com/2014/06/financial-risks-rules-discretionary.html

6/1/14 http://cmpassocregulationblog.blogspot.com/2014/06/financial-instability-mediocre-cyclical.html

5/25/14 http://cmpassocregulationblog.blogspot.com/2014/05/united-states-commercial-banks-assets.html

5/18/14 http://cmpassocregulationblog.blogspot.com/2014/05/world-inflation-waves-squeeze-of.html

3/16/2014 http://cmpassocregulationblog.blogspot.com/2014/03/global-financial-risks-recovery-without.html

2/16/14 http://cmpassocregulationblog.blogspot.com/2014/02/theory-and-reality-of-cyclical-slow.html

12/15/13 http://cmpassocregulationblog.blogspot.com/2013/12/theory-and-reality-of-secular.html

11/17/13 http://cmpassocregulationblog.blogspot.com/2013/11/risks-of-unwinding-monetary-policy.html

9/15/13 http://cmpassocregulationblog.blogspot.com/2013/09/recovery-without-hiring-ten-million.html

8/11/13 http://cmpassocregulationblog.blogspot.com/2013/08/recovery-without-hiring-loss-of-full.html

6/16/13 http://cmpassocregulationblog.blogspot.com/2013/06/recovery-without-hiring-seven-million.html

3/17/13 http://cmpassocregulationblog.blogspot.com/2013/03/recovery-without-hiring-ten-million.html

Exports and imports of Italy and monthly growth rates SA are in Table VG-1. There have been significant fluctuations. Seasonally adjusted exports increased 0.4 percent in Apr 2014 while imports decreased 0.6 percent. The SA trade balance improved from surplus of €3612 million in Mar 2014 to surplus of €3927 million in Apr 2014.

Table VG-1, Italy, Exports, Imports and Trade Balance SA Million Euros and Month SA ∆%

 

Exports

∆%

Imports

∆%

Balance

2012

         

IQ2012

96,319

1.1

96,874

-0.8

-555

IIQ2012

97,845

1.6

96,296

-0.6

1,549

IIIQ2012

99,132

1.3

96,110

-0.2

3,022

IVQ2012

97,996

-1.1

92,795

-3.4

5,201

2013

         

IQ2013

97,725

-0.3

91,396

-1.5

6,329

IIQ2013

97,979

0.3

89,380

-2.2

8,599

IIIQ2013

97,892

-0.1

91,152

2.0

6,740

IVQ2013

98,684

0.8

89,072

-2.3

9,612

2014

         

IQ2014

99,005

0.3

88,116

-1.1

10,889

2012

         

Apr

32,468

0.0

32,676

2.5

-208

May

33,085

1.9

32,850

0.5

235

Jun

32,292

-2.4

30,770

-6.3

1,522

Jul

32,935

2.0

31,944

3.8

991

Aug

33,555

1.9

33,032

3.4

523

Sep

32,642

-2.7

31,134

-5.7

1,508

Oct

32,800

0.5

31,391

0.8

1,409

Nov

32,967

0.5

31,000

-1.2

1,967

Dec

32,229

-2.2

30,404

-1.9

1,825

2013

         

Jan

33,063

2.6

31,173

2.5

1,890

Feb

32,108

-2.9

30,054

-3.6

2,054

Mar

32,554

1.4

30,169

0.4

2,385

Apr

32,437

-0.4

29,761

-1.4

2,676

May

32,587

0.5

29,586

-0.6

3,001

Jun

32,955

1.1

30,033

1.5

2,922

Jul

32,272

-2.1

30,060

0.1

2,212

Aug

32,712

1.4

30,463

1.3

2,249

Sep

32,908

0.6

30,629

0.5

2,279

Oct

32,711

-0.6

29,792

-2.7

2,919

Nov

32,157

-1.7

29,093

-2.3

3,064

Dec

33,816

5.2

30,187

3.8

3,629

2014

         

Jan

33,290

-1.6

29,555

-2.1

3,735

Feb

32,981

-0.9

29,439

-0.4

3,542

Mar

32,734

-0.7

29,122

-1.1

3,612

Apr

32,869

0.4

28,942

-0.6

3,927

Source: Istituto Nazionale di Statistica

http://www.istat.it/it/archivio/125901

Italy’s trade account not seasonally adjusted is in Table VG-2. Values are different because the data are original and not adjusted. Exports increased 2.0 percent in the 12 months ending in Apr 2014 while imports fell 2.9 percent with actual trade surplus of €3505 million. Twelve-month rates of growth picked up again in Aug 2011 with 15.2 percent for exports and 12.6 percent for imports. In Sep 2011, exports grew 10.2 percent relative to a year earlier while imports grew only 3.6 percent. In Oct 2011, exports grew 4.5 percent while imports fell 0.2 percent. In Nov 2011, exports grew 6.5 percent in 12 months while imports grew 0.5 percent. Exports continued to growth of 7.9 percent in the 12 months ending in Aug 2012 while imports fell 1.8 percent. The actual or not seasonally adjusted trade balance deficit fell from €2948 million in Aug 2011 to surplus of €1407 million in Dec 2011 but turned into deficit of €4691 million in Jan 2012. The deficit improved to lower deficit of €1311 million in Feb 2012 and surplus of €1831 million in Mar 2012, returning to deficit of €421 million in Apr and surplus of €833 million in May. In Jun 2012, the actual surplus was €2681 million and then €4673 million in Jul 2012, which was the highest in 2012 but deteriorated to actual deficit of €535 million in Aug 2012. Exports fell 20.9 percent and imports 22.1 percent during the global recession in 2009. Growth of exports was 12.2 percent in the 12 months ending in Oct 2012 while imports increased 1.4 percent, increasing the trade surplus to €2337 million. The trade surplus was €2314 million in Dec 2012 with growth of exports of minus 4.5 percent in 12 months while imports fell 7.8 percent. The trade balance deteriorated to deficit of €1810 million in Jan 2013 even with growth of exports of 8.9 percent in 12 months while imports fell 1.4 percent. The trade balance returned to surplus of €1045 million in Feb 2013 with decline of exports by 2.9 percent and decrease of exports by 9.9 percent. The surplus widened to €3081 million in Mar 2013 with exports declining 6.1 percent and imports falling 10.1 percent. The surplus shrank to €2006 million in Apr 2013 with growth of exports of 4.4 and decline of imports of 3.5 percent. The surplus increased to €3893 million in May 2013 with declines of exports of 1.9 percent and of imports of 10.8 percent. The surplus declined to €3542 million in Jun 2013 with decline of exports of 3.3 percent in 12 months and of imports of 6.3 percent.

Table VG-2, Italy, Exports, Imports and Trade Balance NSA Million Euros and Year-on-Year ∆%

           

2011

375,904

11.4

401,428

9.3

-25,524

2012

390,182

3.8

380,292

-5.3

9,890

2013

389,854

-0.1

359,454

-5.5

30,400

2011

         

IQ2011

90,128

18.1

103,760

21.7

-13,632

IIQ2011

97,274

13.4

104,303

22.4

-7,029

IIIQ2011

92,567

9.8

96,138

12.8

-3,571

IVQ2011

95,935

5.5

97,227

-2.7

-1,292

2012

         

IQ2012

95,398

5.8

99,568

-4.0

-4,170

IIQ2012

100,172

3.0

97,079

-6.9

3,093

IIIQ2012

94,938

2.6

90,670

-5.7

4,268

IVQ2012

99,674

3.9

92,975

-4.4

6,699

2013

         

IQ2013

94,695

-0.7

92,379

-7.2

2,316

IIQ2013

99,724

-0.4

90,283

-7.0

9,441

IIIQ2013

95,094

0.2

87,209

-3.8

7,885

IVQ2013

100,341

0.7

89,584

-3.6

10,758

2014

         

IQ2014

96,105

1.5

89,228

-3.4

6,877

2012

         

Apr

30,548

-1.7

30,969

-8.8

-421

May

35,232

5.0

34,399

-4.1

833

Jun

34,392

5.3

31,711

-8.0

2,681

Jul

37,190

5.3

32,517

-4.5

4,673

Aug

26,166

7.9

26,701

-1.8

-535

Sep

31,583

-4.3

31,452

-9.8

131

Oct

36,037

12.2

33,700

1.4

2,337

Nov

33,688

3.8

31,641

-7.0

2,047

Dec

29,948

-4.5

27,634

-7.8

2,314

2013

         

Jan

29,913

8.9

31,723

-1.4

-1,810

Feb

30,884

-2.9

29,839

-9.9

1,045

Mar

33,897

-6.1

30,816

-10.1

3,081

Apr

31,878

4.4

29,873

-3.5

2,006

May

34,576

-1.9

30,682

-10.8

3,893

Jun

33,270

-3.3

29,728

-6.3

3,542

Jul

38,136

2.5

32,156

-1.1

5,980

Aug

24,741

-5.4

23,667

-11.4

1,074

Sep

32,217

2.0

31,386

-0.2

831

Oct

36,330

0.8

32,271

-4.2

4,060

Nov

32,538

-3.4

29,450

-6.9

3,088

Dec

31,473

5.1

27,863

0.8

3,610

2014

         

Jan

29,988

0.2

29,626

-6.6

362

Feb

31,815

3.0

29,186

-2.2

2,629

Mar

34,302

1.2

30,417

-1.3

3,886

Apr

32,504

2.0

28,999

-2.9

3,505

Source: Istituto Nazionale di Statistica

http://www.istat.it/it/archivio/125901

Growth rates of Italy’s trade and major products are in Table VG-3 for the period Jan-Apr 2014 relative to Jan-Apr 2013. Growth rates of cumulative imports relative to a year earlier are negative for energy with minus 20.3 percent. Exports of durable goods grew 3.6 percent and exports of capital goods increased 5.2 percent. The higher rate of growth of exports of 1.6 percent in Jan-Apr 2014/Jan-Apr 2013 relative to that of imports of minus 3.3 percent may reflect weak demand in Italy with GDP declining during nine consecutive quarters from IIIQ2011 through IIIQ2013 together with softening commodity prices. GDP increased marginally 0.1 percent in IVQ2013 and fell 0.1 percent in IQ2014.

Table VG-3, Italy, Exports and Imports % Share of Products in Total and ∆%

 

Exports
Share %

Exports
∆% Jan-Apr 2014/ Jan-Apr 2013

Imports
Share %

Imports
∆% Jan-Apr 2014/ Jan-Apr 2013

Consumer
Goods

31.0

3.6

27.3

2.1

Durable

6.0

3.6

2.9

7.2

Non-Durable

25.1

3.6

24.4

1.5

Capital Goods

32.3

5.2

20.3

2.1

Inter-
mediate Goods

32.3

-1.3

32.5

-0.4

Energy

4.4

-14.9

19.9

-20.3

Total ex Energy

95.6

2.4

80.1

1.0

Total

100.0

1.6

100.0

-3.3

Note: % Share for 2012 total trade.

Source: Istituto Nazionale di Statistica http://www.istat.it/it/archivio/125901

Table VG-4 provides Italy’s trade balance by product categories in Apr 2014 and cumulative Jan-Apr 2014. Italy’s trade balance excluding energy, generated surplus of €7030 million in Apr 2014 and €25,236 million cumulative in Jan-Apr 2014 but the energy trade balance created deficit of €3524 million in Apr 2014 and cumulative €14,854 million in Jan-Apr 2014. The overall surplus in Apr 2014 was €3505 million with cumulative surplus of €10,382 million in Jan-Apr 2014. Italy has significant competitiveness in various economic activities in contrast with some other countries with debt difficulties.

Table VG-4, Italy, Trade Balance by Product Categories, € Millions

 

Apr 2014

Cumulative Jan-Apr 2014

Consumer Goods

1,602

7,193

  Durable

1,049

4,060

  Nondurable

554

3,133

Capital Goods

4,456

16,350

Intermediate Goods

971

1,694

Energy

-3,524

-14,854

Total ex Energy

7,030

25,236

Total

3,505

10,382

Source: Istituto Nazionale di Statistica

Source: Istituto Nazionale di Statistica http://www.istat.it/it/archivio/125901

Resolution of the European sovereign debt crisis with survival of the euro area would require success in the restructuring of Italy. Growth of the Italian economy would assure that success. A critical problem is that the common euro currency prevents Italy from devaluing the exchange to parity or the exchange rate that would permit export growth to promote internal economic activity, which could generate fiscal revenues for primary fiscal surpluses that ensure creditworthiness.

Professors Ricardo Caballero and Francesco Giavazzi (2012Jan15) find that the resolution of the European sovereign crisis with survival of the euro area would require success in the restructuring of Italy. Growth of the Italian economy would ensure that success. A critical problem is that the common euro currency prevents Italy from devaluing the exchange rate to parity or the exchange rate that would permit export growth to promote internal economic activity, which could generate fiscal revenues for primary fiscal surpluses that ensure creditworthiness. Fiscal consolidation and restructuring are important but of long-term gestation. Immediate growth of the Italian economy would consolidate the resolution of the sovereign debt crisis. Caballero and Giavazzi (2012Jan15) argue that 55 percent of the exports of Italy are to countries outside the euro area such that devaluation of 15 percent would be effective in increasing export revenue. Newly available data in Table VG-5 providing Italy’s trade with regions and countries supports the argument of Caballero and Giavazzi (2012Jan15). Italy’s exports to the European Monetary Union (EMU), or euro area, are only 39.8 percent of the total in Apr 2014. Exports to the non-European Union area with share of 46.3 percent in Italy’s total exports are growing at minus 2.0 percent in Jan-Apr 2014 relative to Jan-Apr 2013 while those to EMU are growing at 3.2 percent.

Table VG-5, Italy, Exports and Imports by Regions and Countries, % Share and 12-Month ∆%

Apr 2014

Exports
% Share

∆% Jan-Apr 2014/ Jan-Apr 2013

Imports
% Share

∆% Jan-Apr 2014/ Jan-Apr 2013

EU

53.7

4.6

55.3

-0.5

EMU 17

39.8

3.2

44.3

-1.3

France

10.8

-0.6

8.4

-1.6

Germany

12.4

4.4

14.7

0.7

Spain

4.4

3.5

4.5

1.1

UK

5.0

7.3

2.7

-0.1

Non EU

46.3

-2.0

44.7

-6.7

Europe non EU

13.0

-9.7

12.1

-8.4

USA

6.9

5.7

3.2

11.7

China

2.5

11.1

6.4

1.9

OPEC

6.0

-6.9

8.1

-36.1

Total

100.0

1.6

100.0

-3.3

Notes: EU: European Union; EMU: European Monetary Union (euro zone)

Source: Istituto Nazionale di Statistica http://www.istat.it/it/archivio/125901

Table VG-6 provides Italy’s trade balance by regions and countries. Italy had trade surplus of €535 million with the 17 countries of the euro zone (EMU 17) in Apr 2014 and cumulative surplus of €616 million in Jan-Apr 2014. Depreciation to parity could permit greater competitiveness in improving the trade surplus of €1022 million in Jan-Apr 2014 with Europe non-European Union, the trade surplus of €4460 million with the US and trade surplus with non-European Union of €4826 million in Jan-Apr 2014. There is significant rigidity in the trade deficits in Jan-Apr 2014 of €4489 million with China and €156 million with members of the Organization of Petroleum Exporting Countries (OPEC). Higher exports could drive economic growth in the economy of Italy that would permit less onerous adjustment of the country’s fiscal imbalances, raising the country’s credit rating.

Table VG-6, Italy, Trade Balance by Regions and Countries, Millions of Euro 

Regions and Countries

Trade Balance Apr 2014 Millions of Euro

Trade Balance Cumulative Jan-Apr 2014 Millions of Euro

EU

1,851

5,556

EMU 17

535

616

France

1,142

4,131

Germany

-204

-1,158

Spain

150

439

UK

828

3,270

Non EU

1,654

4,826

Europe non EU

378

1,400

USA

1,109

4,460

China

-836

-4,489

OPEC

-30

-156

Total

3,505

10,382

Notes: EU: European Union; EMU: European Monetary Union (euro zone)

Source: Istituto Nazionale di Statistica

http://www.istat.it/it/archivio/125901

VH United Kingdom. Annual data in Table VH-UK show the strong impact of the global recession in the UK with decline of GDP of 5.2 percent in 2009 after dropping 0.8 percent in 2008. Recovery of 1.7 percent in 2010 is relatively low in comparison with annual growth rates in 2007 and earlier years. Growth was only 1.1 percent in 2011 and 0.3 percent in 2012. Growth increased to 1.7 percent in 2013. The bottom part of Table VH-UK provides average growth rates of UK GDP since 1948. The UK economy grew at 2.6 percent per year on average between 1948 and 2013, which is relatively high for an advanced economy. The growth rate of GDP between 2000 and 2007 is higher at 3.0 percent. Growth in the current cyclical expansion has been only at 1.2 percent as advanced economies struggle with weak internal demand and world trade. GDP in 2013 was lower by 1.4 percent relative to 2007.

Table VH-UK, UK, Gross Domestic Product, ∆%

 

∆% on Prior Year

1998

3.6

1999

2.9

2000

4.4

2001

2.2

2002

2.3

2003

3.9

2004

3.2

2005

3.2

2006

2.8

2007

3.4

2008

-0.8

2009

-5.2

2010

1.7

2011

1.1

2012

0.3

2013

1.7

Average Growth Rates ∆% per Year

 

1948-2013

2.6

1950-1959

2.7

1960-1969

3.3

1970-1979

2.5

1980-1989

3.2

1990-1999

2.9

2000-2007

3.0

2007-2012*

-3.0

2007-2013*

-1.4

2000-2013

1.5

*Absolute change from 2007 to 2012

Source: UK Office for National Statistics

http://www.ons.gov.uk/ons/rel/naa2/second-estimate-of-gdp/q1-2014/index.html

The Business Activity Index of the Markit/CIPS UK Services PMI® decreased from 58.7 in Apr to 58.6 in May (http://www.markiteconomics.com/Survey/PressRelease.mvc/9f094c86cf5944d081db5a32c18cdf30). Chris Williamson, Chief Economist at Markit, finds the combined indices consistent with the UK economy growing at 0.8 percent in IIQ2014 (http://www.markiteconomics.com/Survey/PressRelease.mvc/9f094c86cf5944d081db5a32c18cdf30). The Markit/CIPS UK Manufacturing Purchasing Managers’ Index® (PMI®) decreased to 57.0 in May from 57.3 in Apr (http://www.markiteconomics.com/Survey/PressRelease.mvc/c23c306f06834308a2aeb0e186d79cbd). New export orders increased for the fourteenth consecutive month. New orders increased from North America, Europe, Asia, Europe, New Zealand and the Middle East. Rob Dobson, Senior Economist at Markit that compiles the Markit/CIPS Manufacturing PMI®, finds that manufacturing conditions continue at solid pace with probable growth at 1.5 percent for IIQ2014 (http://www.markiteconomics.com/Survey/PressRelease.mvc/c23c306f06834308a2aeb0e186d79cbd). Table UK provides the economic indicators for the United Kingdom.

Table UK, UK Economic Indicators

CPI

May month ∆%: -0.1
May 12-month ∆%: 1.5
Blog 6/22/14

Output/Input Prices

Output Prices: May 12-month NSA ∆%: 0.5; excluding food, petroleum ∆%: 1.0
Input Prices: May 12-month NSA
∆%: -5.0
Excluding ∆%: -4.3
Blog 6/22/14

GDP Growth

IQ2014 prior quarter ∆% 0.8; year earlier same quarter ∆%: 3.1
Blog 3/31/13 4/28/13 5/26/13 7/28/13 8/25/13 9/29/13 10/27/13 12/1/13 12/22/13 2/2/14 3/2/14 4/6/14 5/4/14 5/25/14

Industrial Production

Apr 2014/Apr 2013 ∆%: Production Industries 3.0; Manufacturing 4.4
Blog 6/15/14

Retail Sales

May month ∆%: -0.5
May 12-month ∆%: 3.9
Blog 6/22/14

Labor Market

Feb-Apr Unemployment Rate: 6.6%; Claimant Count 3.2%; Earnings Growth 0.7%
Blog 6/15/14 LMGDP 5/25/14

GDP and the Labor Market

IQ2014 Weekly Hours 102.8, GDP 99.3, Employment 103.1

IQ2008 =100

GDP IQ14 99.3 IQ2008=100

Blog 5/25/14

Trade Balance

Balance SA Apr minus ₤2543 million
Exports Apr ∆%: -2.9; Feb-Apr ∆%: -2.9
Imports Mar ∆%: 0.6 Feb-Apr ∆%: -3.7
Blog 6/8/14

Links to blog comments in Table UK:

6/15/2014 http://cmpassocregulationblog.blogspot.com/2014/06/financialgeopolitical-risks-recovery.html

6/8/14 http://cmpassocregulationblog.blogspot.com/2014/06/financial-risks-rules-discretionary.html

5/25/14 http://cmpassocregulationblog.blogspot.com/2014/05/united-states-commercial-banks-assets.html

5/4/2014 http://cmpassocregulationblog.blogspot.com/2014/05/financial-volatility-mediocre-cyclical.html

4/6/14 http://cmpassocregulationblog.blogspot.com/2014/04/interest-rate-risks-twenty-eight.html

3/2/14 http://cmpassocregulationblog.blogspot.com/2014/03/financial-risks-slow-cyclical-united.html

2/2/14 http://cmpassocregulationblog.blogspot.com/2014/02/mediocre-cyclical-united-states.html

12/22/13 http://cmpassocregulationblog.blogspot.com/2013/12/tapering-quantitative-easing-mediocre.html

12/1/13 http://cmpassocregulationblog.blogspot.com/2013/12/exit-risks-of-zero-interest-rates-world.html

10/27/13 http://cmpassocregulationblog.blogspot.com/2013/10/twenty-eight-million-unemployed-or.html

9/29/13 http://cmpassocregulationblog.blogspot.com/2013/09/mediocre-and-decelerating-united-states.html

8/25/13 http://cmpassocregulationblog.blogspot.com/2013/08/interest-rate-risks-duration-dumping.html

7/28/13 http://cmpassocregulationblog.blogspot.com/2013/07/duration-dumping-steepening-yield-curve.html

5/26/13 http://cmpassocregulationblog.blogspot.com/2013/05/united-states-commercial-banks-assets.html

4/28/13 http://cmpassocregulationblog.blogspot.com/2013/04/mediocre-and-decelerating-united-states_28.html

03/31/13 http://cmpassocregulationblog.blogspot.com/2013/04/mediocre-and-decelerating-united-states.html

The volume of retail sales in the UK decreased 0.5 percent in May 2014 and increased 3.9 percent in the 12 months ending in May 2014, as shown in Table VH-1. Percentage changes of retail sales in 12 months had been positive in several months since Sep 2011 with exceptions, such as declines of 2.4 percent in Apr 2012, 0.3 percent in Jan 2013 and 0.8 percent in Mar 2013. The quarter ending in Jul 2013 is quite strong with growth of 2.0 percent in May, 0.3 percent in Jun and 1.0 percent in Jul, interrupted by decline of 1.0 percent in Aug 2013 followed by increase of 1.1 percent in Sep 2013. The volume of retail sales fell 0.9 percent in Oct 2013, increasing 0.3 percent in Nov 2013 and jumping 3.0 percent in Dec 2013. Retail sales decreased 2.5 percent in Jan 2014 and increased 1.0 percent in Apr 2014. Retail sales increased 3.9 percent in the 12 months ending in May 2014.

Table VH-1, UK, Volume of Retail Sales ∆%

   

Month ∆%

12-Month ∆%

2011

Jul

0.3

-1.0

 

Aug

-0.5

-1.3

 

Sep

0.4

0.1

 

Oct

1.2

0.6

 

Nov

-

0.3

 

Dec

-0.3

2.3

       

2012

Jan

0.8

0.6

 

Feb

-1.0

0.4

 

Mar

2.1

2.8

 

Apr

-2.4

-2.0

 

May

1.1

1.5

 

Jun

0.2

1.8

       
 

Jul

0.3

1.7

 

Aug

-0.1

2.1

 

Sep

0.3

2.0

 

Oct

-0.4

0.3

 

Nov

0.1

0.5

 

Dec

-0.9

-0.1

       

2013

Jan

-0.3

-1.1

 

Feb

2.0

1.9

 

Mar

-0.8

-0.9

 

Apr

-0.8

0.7

 

May

2.0

1.6

 

Jun

0.3

1.7

       
 

Jul

1.0

2.3

 

Aug

-1.0

1.4

 

Sep

1.1

2.2

 

Oct

-0.9

1.7

 

Nov

0.3

1.9

 

Dec

3.0

6.0

       

2014

Jan

-2.5

3.6

 

Feb

1.5

3.1

 

Mar

0.6

4.6

 

Apr

1.0

6.5

 

May

-0.5

3.9

Source: UK Office for National Statistics

http://www.ons.gov.uk/ons/rel/rsi/retail-sales/may-2014/index.html

Retail sales in the UK struggle with oscillating and relatively high inflation, declining recently. Table VH-2 provides 12-month percentage changes of the implied deflator of UK retail sales. The implied deflator of all retail sales decreased 0.7 percent in the 12 months ending in May 2014 while that of sales excluding auto fuel decreased 0.4 percent. The 12-month increase of the implied deflator of auto fuel in May 2014 was minus 2.2 percent. The 12-month increase of the implied deflator of auto fuel sales rose to 17.0 percent in Sep 2011, which is the highest 12-month increase in 2011, but then declined to 0.3 percent in Dec 2012 and minus 0.2 percent in Jan 2013. The 12-month implied deflator of auto fuel sales decreased 2.2 percent in May 2013, increasing 1.3 percent in Jun 2013 and 2.6 percent in Jul 2013. The percentage change of the implied deflator of sales of food stores at 2.3 percent in Dec 2013 is higher than for total retail sales of 0.5 percent. Increases in fuel prices at the retail level have occurred throughout most years since 2005 with exception of the decline of 9.7 percent in Dec 2008 when commodity carry trades were reversed in the panic of the financial crisis. UK inflation is particularly sensitive to changes in commodity prices.

Table VH-2, UK, Implied Deflator of Retail Sales, 12-Month Percentage Changes

   

All Retail

All Retail Ex Auto Fuel

Mostly Food Stores

Mostly Nonfood Stores

Mostly Automotive Fuel Stores

2008

Jun

4.6

2.5

6.9

-1.0

22.5

             
 

Jul

5.8

3.6

8.7

-0.4

24.2

 

Aug

5.4

3.8

9.4

-0.5

19.5

 

Sep

5.1

3.5

8.3

-0.3

18.6

 

Oct

3.6

2.9

7.4

-0.7

9.2

 

Nov

2.2

2.7

7.5

-1.1

-2.6

 

Dec

-0.2

0.5

7.1

-3.9

-9.7

             

2009

Jan

-0.2

1.6

7.3

-2.9

-13.4

 

Feb

1.0

2.6

8.4

-2.1

-11.0

 

Mar

0.6

2.4

7.9

-2.0

-12.4

 

Apr

0.2

1.7

6.2

-2.0

-11.1

 

May

-

1.6

5.7

-1.9

-12.4

 

Jun

-1.1

0.7

4.2

-2.4

-13.2

             
 

Jul

-1.4

0.3

3.5

-2.4

-13.6

 

Aug

-0.9

0.2

2.3

-1.8

-8.9

 

Sep

-0.8

-

1.9

-1.5

-5.8

 

Oct

0.3

0.5

2.5

-1.2

-0.8

 

Nov

1.4

0.5

1.8

-0.8

10.0

 

Dec

3.7

2.4

2.2

1.8

17.0

             

2010

Jan

4.1

2.0

2.7

1.2

23.3

 

Feb

3.0

1.0

1.5

0.8

20.5

 

Mar

3.6

1.4

2.2

0.9

22.7

 

Apr

4.0

2.0

2.9

1.3

23.3

 

May

3.4

1.5

2.0

1.1

20.9

 

Jun

2.6

1.3

2.1

0.8

14.7

             
 

Jul

2.7

1.6

3.0

0.5

13.5

 

Aug

2.6

1.7

3.4

0.4

11.4

 

Sep

3.1

2.6

4.3

1.2

8.3

 

Oct

3.3

2.5

4.1

1.1

10.8

 

Nov

3.6

3.0

4.9

1.3

9.8

 

Dec

3.7

3.2

5.2

1.4

12.4

             

2011

Jan

4.4

3.3

5.4

1.4

14.5

 

Feb

4.9

3.8

5.6

2.2

15.1

 

Mar

4.3

3.0

4.3

1.9

14.9

 

Apr

4.2

3.3

4.8

1.9

12.3

 

May

4.6

3.5

5.6

1.8

13.2

 

Jun

4.7

3.4

6.2

1.2

14.5

             
 

Jul

5.1

3.9

6.0

2.2

14.5

 

Aug

5.4

4.0

6.0

2.4

16.2

 

Sep

5.1

3.7

6.2

1.7

17.0

 

Oct

4.7

3.5

5.1

2.3

14.8

 

Nov

4.0

3.0

4.7

1.7

12.6

 

Dec

3.3

2.4

4.3

1.0

9.1

             

2012

Jan

2.6

2.2

3.6

1.1

5.3

 

Feb

2.8

2.4

4.0

0.9

5.4

 

Mar

3.0

2.7

4.5

1.1

4.9

 

Apr

2.3

2.0

3.8

0.4

5.2

 

May

1.4

1.5

3.1

0.2

1.2

 

Jun

0.6

0.9

2.3

-0.2

-1.2

             
 

Jul

0.4

0.7

2.0

-0.2

-1.4

 

Aug

0.5

0.6

2.1

-0.8

0.4

 

Sep

0.9

0.7

2.1

-0.4

2.9

 

Oct

1.1

1.0

2.8

-0.4

2.6

 

Nov

0.7

0.7

3.1

-1.0

1.3

 

Dec

0.9

1.0

3.0

-0.3

0.3

             

2013

Jan

1.1

1.4

3.8

-0.7

-0.2

 

Feb

1.0

1.0

3.2

-0.7

1.1

 

Mar

0.9

1.2

3.1

-0.7

0.5

 

Apr

0.6

1.1

3.4

-0.7

-3.0

 

May

1.0

1.5

3.5

-0.1

-2.2

 

Jun

1.7

1.8

3.4

0.6

1.3

             
 

Jul

1.8

1.8

3.4

0.3

2.6

 

Aug

1.6

1.6

3.4

0.3

1.5

 

Sep

0.9

1.3

3.4

-0.2

-1.2

 

Oct

0.7

1.3

3.3

-0.2

-3.5

 

Nov

0.6

1.0

2.7

-0.1

-3.0

 

Dec

0.5

0.7

2.3

-0.3

-1.0

             

2014

Jan

0.2

0.4

1.8

-0.5

-1.4

 

Feb

-0.2

0.5

1.6

-0.4

-4.4

 

Mar

-0.5

0.2

1.8

-0.7

-5.8

 

Apr

-0.5

0.1

0.9

-0.6

-4.4

 

May

-0.7

-0.4

0.4

-0.8

-2.2

Source: UK Office for National Statistics

http://www.ons.gov.uk/ons/rel/rsi/retail-sales/may-2014/index.html

UK monthly retail volume of sales is quite volatile, as shown in Table VH-3. Total volume of sales decreased 0.5 percent in May 2013 and increased 2.0 percent in May 2013, 0.3 percent in Jun 2013 and 1.0 percent in Jul 2013 but declined 1.0 percent in Aug 2013. Retail sales increased 0.9 percent in Sep 2013 and fell 0.9 percent in Oct 2013. Retail sales increased 0.3 percent in Nov 2013 and 3.0 percent in Dec 2013. Total volume of retail sales fell 2.5 percent in Jan 2014 and increased 1.5 percent in Feb 2014. Total volume of retail sales increased 0.6 percent in Mar 2014 and 1.0 percent in Apr 2014. Retail sales fell 0.5 percent in May 2014. There was decrease of 0.5 percent in retail sales excluding auto fuels in May 2014 and decrease of 2.4 percent in food stores, increase of 0.8 percent in nonfood stores and decrease of 0.5 percent in auto fuel stores. Multiple positive and negative variations and changes in magnitudes confirm high volatility.

Table VH-3, UK, Growth of Retail Sales Volume by Component Groups Month SA ∆%

   

All Retail

All Retail Ex Auto Fuel

Mostly Food Stores

Mostly Nonfood Stores

Mostly Automotive Fuel Stores

2011

Jul

0.3

0.4

0.8

0.4

-0.4

 

Aug

-0.5

-0.5

0.1

-1.2

-0.5

 

Sep

0.4

0.4

0.1

0.6

0.6

 

Oct

1.2

1.2

0.8

1.6

1.4

 

Nov

-

-0.4

-0.5

-1.0

3.0

 

Dec

-0.3

-0.2

-0.2

0.4

-1.6

             

2012

Jan

0.8

0.7

0.8

0.5

0.8

 

Feb

-1.0

-0.8

-0.5

-1.0

-2.8

 

Mar

2.1

1.7

-0.3

3.4

5.6

 

Apr

-2.4

-1.1

-0.1

-2.3

-12.4

 

May

1.1

0.6

0.3

0.8

5.2

 

Jun

0.2

0.6

-

1.2

-2.9

             
 

Jul

0.3

0.1

0.1

-0.4

2.3

 

Aug

-0.1

-0.2

0.3

0.4

0.5

 

Sep

0.3

0.2

-0.1

-0.4

1.2

 

Oct

-0.4

-0.1

-0.8

0.1

-2.7

 

Nov

0.1

0.3

-0.3

0.7

-1.8

 

Dec

-0.9

-1.2

-0.4

-2.2

1.7

             

2013

Jan

-0.3

-0.1

-0.3

-0.5

-2.1

 

Feb

2.0

2.0

0.3

3.8

1.9

 

Mar

-0.8

-0.8

2.2

-4.5

-0.6

 

Apr

-0.8

-0.9

-4.3

3.4

0.3

 

May

2.0

2.0

3.1

0.4

1.5

 

Jun

0.3

0.3

-

0.4

-0.4

             
 

Jul

1.0

1.0

2.7

-0.7

0.9

 

Aug

-1.0

-1.1

-2.6

-

-0.7

 

Sep

1.1

1.3

-0.1

3.1

-1.1

 

Oct

-0.9

-0.7

-0.1

-1.5

-2.2

 

Nov

0.3

0.3

0.4

0.1

-0.2

 

Dec

3.0

3.3

3.2

3.0

1.1

             

2014

Jan

-2.5

-2.6

-4.4

-0.3

-1.5

 

Feb

1.5

1.6

2.1

-

1.3

 

Mar

0.6

0.1

-1.5

1.8

5.6

 

Apr

1.0

1.7

3.9

-0.8

-5.0

 

May

-0.5

-0.5

-2.4

0.8

-0.5

Source: UK Office for National Statistics

http://www.ons.gov.uk/ons/rel/rsi/retail-sales/may-2014/index.html

Percentage growth in 12 months of retail sales volume by component groups in the UK is provided in Table VH-4. Total retail sales increased 3.9 percent in the 12 months ending in May 2014 with increase of 4.7 percent in sales excluding auto fuel. Sales of food stores increased 0.7 percent in the 12 months ending in May 2014 while sales of nonfood stores increased 6.0 percent. Sales of auto fuel stores decreased 3.2 percent in May 2014 relative to a year earlier.

Table VH-4, UK, Growth of Retail Sales Volume by Component Groups 12-Month ∆%

   

All Retail

All Retail Ex Auto Fuel

Mostly Food Stores

Mostly Nonfood Stores

Mostly Automotive Fuel Stores

2011

Jul

-1.0

-1.4

-1.2

-2.8

1.9

 

Aug

-1.3

-1.7

-0.7

-3.9

1.8

 

Sep

0.1

-0.3

-0.3

-1.8

3.3

 

Oct

0.6

0.3

0.4

-1.0

2.7

 

Nov

0.3

-0.4

-1.1

-1.8

5.3

 

Dec

2.3

1.1

1.0

0.3

13.8

             

2012

Jan

0.6

0.3

1.0

-1.3

3.3

 

Feb

0.4

0.3

0.9

-1.2

1.0

 

Mar

2.8

2.2

-

3.0

7.5

 

Apr

-2.0

-1.3

-3.8

-0.4

-7.5

 

May

1.5

2.0

1.0

1.7

-2.3

 

Jun

1.8

2.6

1.3

3.3

-5.1

             
 

Jul

1.7

2.3

0.5

2.5

-2.6

 

Aug

2.1

2.5

0.8

4.1

-1.5

 

Sep

2.0

2.3

0.6

3.1

-0.9

 

Oct

0.3

1.0

-1.1

1.5

-4.9

 

Nov

0.5

1.7

-0.8

3.3

-9.4

 

Dec

-0.1

0.7

-1.0

0.7

-6.3

             

2013

Jan

-1.1

-0.2

-2.1

-0.3

-9.0

 

Feb

1.9

2.7

-1.3

4.6

-4.6

 

Mar

-0.9

0.2

1.2

-3.4

-10.1

 

Apr

0.7

0.5

-3.0

2.2

2.9

 

May

1.6

1.9

-0.3

1.8

-0.7

 

Jun

1.7

1.6

-0.3

1.1

1.9

             
 

Jul

2.3

2.5

2.3

0.8

0.5

 

Aug

1.4

1.6

-0.7

0.4

-0.7

 

Sep

2.2

2.8

-0.8

4.0

-3.0

 

Oct

1.7

2.2

-0.1

2.3

-2.5

 

Nov

1.9

2.2

0.5

1.7

-0.9

 

Dec

6.0

6.8

4.2

7.0

-1.6

             

2014

Jan

3.6

4.2

-0.1

7.3

-1.1

 

Feb

3.1

3.7

1.7

3.3

-1.7

 

Mar

4.6

4.6

-2.0

10.0

4.4

 

Apr

6.5

7.4

6.5

5.6

-1.2

 

May

3.9

4.7

0.7

6.0

-3.2

Source: UK Office for National Statistics

http://www.ons.gov.uk/ons/rel/rsi/retail-sales/may-2014/index.html

Table VH-5 provides the analysis of the UK Office for National Statistics of contributions to 12-month percentage changes of value and volume of retail sales in the UK. The volume of retail sales seasonally adjusted increased 3.9 percent in the 12 months ending in May 2014. Sales of predominantly food stores with weight of 41.5 percent increased 0.7 percent in the 12 months ending in May 2014, adding 0.4 percentage points. Mostly nonfood stores with weight of 41.3 percent increased 6.0 percent with contribution of 2.6 percentage points. Positive contribution to 12-month percentage changes of volume was made by non-store retailing with weight of 5.7 percent, growth of 18.9 percent and positive contribution of 1.2 percentage points. Automotive fuel with weight of 11.5 percent and growth of minus 3.2 percent deducted 0.3 percentage points. The value of retail sales increased 3.2 percent in the 12 months ending in May 2014. There were positive contributions: 2.2 percentage points for predominantly nonfood stores and 1.1 percentage points for non-store retailing. Automotive fuel stores deducted 0.6 percentage points while food stores added 0.5 percentage points.

Table VH-5, UK, Volume and Value of Retail Sales 12-month ∆% and Percentage Points Contributions by Sectors

May 2014

Weight
% of All
Retailing

Volume SA
12- Month ∆%

PP Cont.
% points

Value SA
12- Month ∆%

PP Cont.
% points

All Retailing

100.0

3.9

 

3.2

 

Mostly
Food Stores

41.5

0.7

0.4

1.1

0.5

Mostly Nonfood Stores

41.3

6.0

2.6

5.2

2.2

Non-store Retailing

5.7

18.9

1.2

17.4

1.1

Automotive Fuel

11.5

-3.2

-0.3

-4.9

-0.6

Cont.: Contribution

Source: UK Office for National Statistics

http://www.ons.gov.uk/ons/rel/rsi/retail-sales/may-2014/index.html

© Carlos M. Pelaez, 2009, 2010, 2011, 2012, 2013, 2014.

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