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Nomura Institute of Capital Markets Research How major macroeconomic variables move around their medium-term trends 13 November, 2012 The Business Cycle in China since the Lehman Crisis Nomura Institute of Capital Markets Research Senior Fellow C. H. Kwan

The Business Cycle in China since the Lehman Crisis...2012/11/13  · 12Q3 Inflation rate (Year-on-year, %) Correlation between the Economic Growth Rate and the Inflation Rate (2001Q1~2012Q3)

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  • Nomura Institute of Capital Markets Research

    How major macroeconomic variables move around their medium-term trends

    13 November, 2012

    The Business Cycle in China since the Lehman Crisis

    Nomura Institute of Capital Markets Research

    Senior Fellow

    C. H. Kwan

  • -4

    -2

    0

    2

    4

    6

    8

    10

    12

    14

    16

    Q3

    01 02 03 04 05 06 07 08 09 10 11 12

    CPI

    Real GDP growth rate

    8.07.4

    (Year-on-year, %)

    1.9

    (Year, quarter)

    12.1

    14.8

    6.6

    -1.5

    6.3

    Economic Growth versus Inflation in China

    1

    Source: Compiled by Nomura Institute of Capital Markets Research based on CEIC database.

  • -4

    -2

    0

    2

    4

    6

    8

    10

    0 2 4 6 8 10 12 14 16 Economic growth rate lagged three quarters (Year-on-year, %)

    10Q1

    10Q2

    10Q3

    10Q411Q1

    11Q2

    11Q3

    11Q412Q1

    12Q2

    12Q3

    Inf lation rate (Year-on-year, %)

    Correlation between the Economic Growth Rate and the Inflation

    Rate (2001Q1~2012Q3)

    2

    Note: Estimation results:

    Inflation rate = -5.70 + 0.82 × economic growth rate lagged three quarters (6.54) The number in parentheses denotes t-value. = 0.48

    Estimation period: Q1 2001 through Q3 2012.

    Source: Compiled by Nomura Institute of Capital Markets Research based on CEIC database.

    2R

  • -5

    0

    5

    10

    15

    20

    25

    0 5 10 15 20

    Economic growth rate lagged three quarters (Year-on-year, %)

    2011Q22011Q1

    2011Q3

    2011Q4

    2012Q1

    2012Q22012Q3

    Rate of increase in food prices (Year-on-year, %)

    Correlation between the Economic Growth Rate and Increase in

    Food Prices (2001Q1-2012Q3)

    3

    Note: Estimation results:

    Rate of increase in food prices = -14.00 + 2.00 × economic growth rate lagged three quarters (6.62)

    The number in parentheses denotes t-value, = 0.48

    Estimation period: Q1 2001 through Q3 2012.

    Source: Compiled by Nomura Institute of Capital Markets Research based on CEIC database.

    2R

  • Phases of the Business Cycle Defined by the Relationship

    between the Economic Growth Rate and the Inflation Rate

    4

    Boom Bust Boom

    Economic growth rate

    Inf lation rate→

    (Growth rate)a) Without time lags

    b) With time lags

    ↓Economic growth rate↓Inf lation rate

    (4)Stagflation

    (1)Recession

    (2)Recovery

    (3)Overheating

    (Growth rate)

    Low growthHigh inflation

    Low growthLow inflation

    High growthLow inflation

    High growthHigh inflation

    Average(benchmark)

    Average(benchmark)

    Source: Compiled by Nomura Institute of Capital Markets Research.

    Boom Bust Boom

    Economic growth rate

    Inf lation rate→

    (Growth rate)a) Without time lags

    b) With time lags

    ↓Economic growth rate↓Inf lation rate

    (4)Stagflation

    (1)Recession

    (2)Recovery

    (3)Overheating

    (Growth rate)

    Low growthHigh inflation

    Low growthLow inflation

    High growthLow inflation

    High growthHigh inflation

    Average(benchmark)

    Average(benchmark)

  • Business Cycle Described by the Interaction between Economic

    Growth and Inflation

    5

    Source: Compiled by Nomura Institute of Capital Markets Research.

    Economic growth rate down

    Economic growth rate up

    Infl

    atio

    n ra

    te u

    p

    Infl

    atio

    n ra

    te d

    ow

    n

    Economic growth rate High →← Low

    Infl

    ati

    on

    rate

    H

    igh

    Benchmark

    ←Lo

    wThe inf lation rate turns downward following a

    decrease in the economic growth rate.

    The economic growth rate turns downward

    following monetary tightening.

    The economic growth rate turns upward following

    monetary easing.

    The inf lation rate turns upward following an

    increase in the economic growth rate.

    (4) Stagflation

    (3) Overheating

    (1) Recession

    (2) Recovery

    Benchmark

  • -4

    -2

    0

    2

    4

    6

    8

    10

    12

    14

    16 Q

    4

    Q1

    Q2

    Q3

    Q4

    Q1

    Q2

    Q3

    Q4

    Q1

    Q2

    Q3

    Q4

    Q1

    Q2

    Q3

    2008 2009 2010 2011 2012

    (Year, quarter)

    Inf lation rate 1.9%

    7.4%Economic growth rate

    (Year-on-year, %)

    (1)Recession (2)Recovery (3)Overheating

    average: 9.1%

    average: 2.7%

    (4)Stagflation (1)Recession

    Phases of the Business Cycle in Post-Lehman China

    6

    Note: Phase (1): low growth and low inflation; phase (2): high growth and low inflation;

    Phase (3): high growth and high inflation and phase (4): low growth and high inflation.

    Source: Compiled by Nomura Institute of Capital Markets Research based on CEIC database.

  • -2

    -1

    0

    1

    2

    3

    4

    5

    6

    7

    4 5 6 7 8 9 10 11 12 13 14

    09Q2

    09Q1

    09Q3

    09Q4

    10Q1

    10Q210Q3

    08Q4

    11Q2

    10Q4

    11Q1

    11Q3

    12Q1

    11Q4

    12Q2

    Inf lation rate (Year-on-year, %)average: 9.1%

    (4)Stagflation

    (3)Overheating

    (1)Recession

    (2)Recovery

    Economic growth rate (Year-on-year, %)

    average:2.7%

    12Q3

    Cyclical Changes in the Economic Growth and Inflation Rates in

    Post-Lehman China

    7

    Note: Phase (1): low growth and low inflation; phase (2): high growth and low inflation;

    phase (3): high growth and high inflation and phase (4): low growth and high inflation.

    The economy circulates counterclockwise in the order of (1) → (2) → (3) → (4) → (1).

    Source: Compiled by Nomura Institute of Capital Markets Research based on CEIC database.

  • 8

    The Taylor rule proposes that the policy interest rate should be determined in response to the divergence of

    actual inflation from the long-term inflation target and the divergence of current economic activity from its

    equilibrium level (measured by the GDP gap).

    General form

    The optimal level of the policy interest rate = actual inflation rate + equilibrium real interest rate

    + 0.5 × (actual inflation rate - target inflation rate)

    + 0.5 × (GDP gap).

    The case of the United States

    The optimal level of the FF rate = actual inflation rate + 2%

    + 0.5 × (actual inflation rate - 2%) + 0.5 × (GDP gap)

    = 1.5 × (actual inflation rate) + 0.5 × (GDP gap) + 1%

    Taylor principle

    – The policy interest rate must be raised by more than the rise in the inflation rate in order to stabilize the macro

    economy.

    The Taylor rule can be treated as a reaction function showing how the policy interest rate actually responds

    to changes in the inflation rate and the GDP gap.

    The Taylor Rule

  • 4

    5

    6

    7

    8

    Q3

    Q1

    Q3

    Q1

    Q3

    Q1

    Q3

    Q1

    Q3

    Q1

    Q3

    Q1

    Q3

    Q1

    Q3

    2005 2006 2007 2008 2009 2010 2011 2012

    (Year, quarter)

    (%)

    Actual value

    Estimated value

    Changes in the One-Year Base Lending Rate

    — Actual versus Predicted Values —

    9

    Note: The predicted value is based on the following regression equation.

    Base lending rate= 1.68 + 0.11 × inflation rate + 0.06 × economic growth rate + 0.57 × base lending rate lagged one quarter (3.70) (2.43) (5.66) Figures in parentheses are t-values. = 0.84 The base lending rate has a one-year maturity.

    Estimation period: Q3 2005 to Q3 2012

    Source: Compiled by Nomura Institute of Capital Markets Research based on CEIC database.

    2R

  • -4

    -2

    0

    2

    4

    6

    8

    10

    9

    2005 2006 2007 2008 2009 2010 2011 2012

    (%)

    (Year, month)

    Inf lation rate (year-on-year) Nominal base lending rate

    Real base lending rate

    Real Base Lending Rate Inversely Correlated with the Inflation

    Rate

    10

    Note: The base lending rate has a one-year maturity. Real base lending rate = Nominal base lending rate

    - inflation rate (year-on-year) Source: Compiled by Nomura Institute of Capital Markets Research Based on CEIC database.

  • -2

    0

    2

    4

    6

    8

    10

    12

    Q3 Q1 Q3 Q1 Q3 Q1 Q3 Q1 Q3 Q1 Q3 Q1 Q3 Q1 Q3

    2005 2006 2007 2008 2009 2010 2011 2012

    (Year-on-year, %)

    (Year, quarter)

    Actual value

    Estimated value

    RMBappreciation

    Changes in RMB Exchange Rate against the U.S. Dollar (USD/ RMB)

    — Actual versus Predicted Values —

    11

    Note: The predicted value is based on the following regression.

    USD per RMB = -3.30 + 0.53 × inflation rate lagged one quarter + 0.29 × economic growth rate + 0.62 × USD per RMB lagged one quarter (7.23) (4.53) (9.47)

    Figures in parentheses are t-values. =0.93 Figures for the RMB rate are based on period averages.

    Estimation period: Q3 2005 to Q3 2012

    Source: Compiled by Nomura Institute of Capital Markets Research based on CEIC database.

    2R

  • -4

    -2

    0

    2

    4

    6

    8

    10

    12

    7 9

    2005 2006 2007 2008 2009 2010 2011 2012

    (Year-on-year, %)

    CPI →

    US dollar per RMB

    (Year, month)

    RMBappreciation

    Rate of RMB Appreciation Moving in Tandem with the Inflation Rate

    12

    Note: Monthly average of the RMB exchange rate (U.S. dollars per renminbi).

    Source: Compiled by Nomura Institute of Capital Markets Research based on data from the

    National Bureau of Statistics and the State Administration of Foreign Exchange (SAFE) of China.

  • -30

    -20

    -10

    0

    10

    20

    30

    40

    50

    ○Q

    Q4

    ○Q

    1○

    Q2

    ○Q

    3○

    Q4

    ○Q

    1○

    Q2

    ○Q

    3○

    Q4

    ○Q

    1○

    Q2

    ○Q

    3○

    Q4

    ×Q

    1○

    Q2

    ○Q

    3○

    Q4

    ×Q

    Q2

    ○Q

    Q4

    ○Q

    1○

    Q2

    ○Q

    3○

    Q4

    ○Q

    Q2

    ○Q

    3

    2005 2006 2007 2008 2009 2010 2011 2012

    (Quarter-on-quarter, %)

    (Year, quarter)

    ←Actual value

    Ris

    ing

    sh

    are

    pric

    es

    Fallin

    gsh

    are

    pric

    es

    ↓Estimated value

    Changes in the SSE Composite Index

    — Actual versus Predicted Values —

    13

    Notes: The predicted value is based on the following regression.

    Shanghai Composite Index (QoQ) =

    -36.90 + 4.91 × economic growth rate (YoY) - 3.52 × inflation rate (YoY) (4.98) (-4.01) Figures in parentheses are t-values. = 0.53

    Figures for Shanghai Composite Index are based on period averages.

    Estimation period: Q3 2005 to Q3 2012

    ○ indicates the predicted value rises or falls with the actual value.

    × indicates The predicted value moves in the opposite direction from the actual value.

    Source: Compiled by Nomura Institute of Capital Markets Research based on CEIC Database.

    2R

  • 10

    15

    20

    25

    30

    35

    1 7 1 7 1 7 1 7 1 7

    2008 2009 2010 2011 2012 (年、月)

    Money supply (M2)

    (Year-on-year, %)

    -4

    -2

    0

    2

    4

    6

    8

    10

    1 7 1 7 1 7 1 7 1 7

    2008 2009 2010 2011 2012

    CPI

    (年、月)

    (Year-on-year, %)

    -4-202468

    101214

    1 7 1 7 1 7 1 7 1 7 9

    2008 2009 2010 2011 2012 (Year, Month)

    Home prices in 70 large and medium-sized cities(Year-on-year, %)

    Soaring Inflation and Home Prices Following the Sharp Increase in the

    Money Supply — Situation after the Collapse of Lehman Brothers—

    14

    Note: Home prices in large and medium-sized cities are based on the sales price indices of residential buildings until December 2010

    and on the average sales price indices of newly constructed homes from January 2011.

    Source: Compiled by Nomura Institute of Capital Markets Research based on data from the National Bureau of Statistics of China.

  • Collapse of Lehman Brothers

    30

    35

    40

    45

    50 (Share, %)

    Investment ratio (a)

    Average 39.2

    Average 48.2

    6

    8

    10

    12

    14

    16 (%)

    Economic growth rate (b)

    Average 10.5

    Average 9.6

    2

    3

    4

    5

    6

    1991

    1992

    1993

    1994

    1995

    1996

    1997

    1998

    1999

    2000

    2001

    2002

    2003

    2004

    2005

    2006

    2007

    2008

    2009

    2010

    2011

    (Times)

    Marginal capital coef f icient (a/b)

    (Year)

    Average 3.7

    Average 5.0

    Changes in the Investment Ratio, Economic Growth Rate, and

    Marginal Capital Coefficient

    15

    Note: The larger the marginal capital coefficient, the less efficient the investment.

    Source: Compiled by Nomura Institute of Capital Markets Research based on data from the

    China Statistics Abstract 2012 of the National Bureau of Statistics of China.

  • 0.60

    0.65

    0.70

    0.75

    0.80

    0.85

    0.90

    0.95

    1.00

    1.05

    1.10

    6

    7

    8

    9

    10

    11

    12

    13

    14

    15

    Q1 Q3

    2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012

    (Year, quarter)

    (Times)(Year-on-year, %)

    Job offers-to-job seekers ratio in the urban areas

    (Right axis)↓

    ↑ Economic growth rate

    Job Offers-to-Job Seekers Ratio Diverging from the Economic

    Growth Rate

    16

    Note: The job offers-to-job seekers ratio in the urban areas of China is calculated by dividing the number of job offers by the number of

    job applicants registered in public employment service organizations in approximately 100 cities. It is based on “The Analysis on Supply

    and Demand of Labor Market in Some Cities” published quarterly by the China Labor Market Information Network Monitoring Center,

    which operates under the Ministry of Human Resources and Social Security.

    Sources: Compiled by Nomura Institute of Capital Markets Research based on data from the National Bureau of Statistics of China and

    the Ministry of Human Resources and Social Security.