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Empirical Testing of Quantity Theory of Money in India

Apr 08, 2018

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    EMPIRICAL TESTING OFQUANTITY THEORY OF

    MONEY IN INDIA

    - ROHIT WALIMBE

    - PROF. LAKSHMI KUMAR

    International Conference on Quantitative Methods in Money BankingFinance and insurance IBS Hyderabad -19 March 2010

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    INTRODUCTION Background and origin of QTM

    Concept of the Quantity Theory of Money

    (QTM)

    MV=PY

    M - Quantity of Money (M3- Broad Money )

    V - Velocity of Money

    P - Aggregate Price Level (GDP deflator)

    Y - Real GDP

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    Consistent and precise relation between the Mand Y

    Is it valid for India in the Long Run ?? Letscheck

    Short Run not considered

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    - Hypothesis tested :1. Money stock growth contributes positively to

    inflation

    2. Real GDP growth contributes negatively toInflation.

    Other factors contributing to the inflation and

    the role of interest rate in explaining inflation

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    QTM AS A REGRESSIONMODEL

    M V= PY

    As inflation is % change in price level,

    %change in M + %change in V = %change in P

    + %change in Y

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    0123456

    78

    -

    -

    1954-55

    1956-57

    -

    -

    1962-63

    -

    -

    1968-69

    1970-71

    -

    -

    1976-77

    -

    -

    1982-83

    -

    -

    1988-89

    1990-91

    -

    -

    1996-97

    -

    -

    2002-03

    2004-05

    -

    -

    VELOCITY=GDP CURRENT PRICE/NARROW MONEY

    VELOCITY=GDP CURRENT PRICE/NARROW

    MONEY

    Linear (VELOCITY=GDP CURRENT

    PRICE/NARROW MONEY)

    Velocity assumed to be constant

    %change in P =%change in M%change in Y

    i.e. A=BC + u

    A is inflation, B is money supply growth and C is real GDP

    growth, u is the disturbance term.

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    Thus, the unrestricted QTM becomes,

    A=o+ 1B+2C+ Assumptions made for which is a disturbance

    are,

    1. It is random variable with mean or expected value of zero i.e.

    E() = 0,

    2. Values of are independent

    3. The error is a normally distributed random variable

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    The hypotheses to be tested are as follows

    o =0 , 1 = 1 , 2 = -1

    i.e. as money growth increases, and GDP

    growth reduces, inflation reacts one to one

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    DATA & ANALYSIS OF RESULTS

    -0.1

    -0.05

    0

    0.05

    0.1

    0.15

    0.2

    0.25

    0.3

    0 10 20 30 40 50 60

    Inflation

    REAL GDP GROWTH

    CHANGE IN BROAD MONEY SUPPLY

    Linear (Inflation)

    Linear (REAL GDP GROWTH)

    Linear (CHANGE IN BROAD MONEY SUPPLY)

    CORRELATION

    1Change in Broad Money supply and

    Inflation. (B) 0.297

    2Inflation and Real GDP Growth (C) -0.332

    WEAK BUT

    POSITIVE

    MODERATE BUT

    NEGATIVE

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    Regression Statistics

    Multiple R 0.4557

    R Square 0.2076

    Adjusted R Square 0.1724

    Standard Error 0.0363

    Observations 48

    ANOVA

    df SS MS FSignificance

    F

    Regression 2 0.016 0.008 5.895 0.005

    Residual 45 0.059 0.001

    Total 47 0.075

    Coefficients StandardError

    t Stat P-value Lower 95% Upper95%

    Lower95.0%

    Upper95.0%

    INTERCEPT 0.05253 0.02060 2.54988 0.01425 0.01104 0.09402 0.01104 0.09402

    REAL GDP GROWTH (2) -0.43684 0.16803 -2.59978 0.01257 -0.77527 -0.09841 -0.77527 -0.09841

    CHANGE IN BROAD MONEY

    SUPPLY (1)0.28127 0.11968 2.35023 0.02321 0.04023 0.52231 0.04023 0.52231

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    Monetary policy

    What about interest rate

    -0.1

    -0.05

    0

    0.05

    0.1

    0.15

    0.2

    0.25

    0.3

    -

    1963-64

    -

    1969-70

    -

    -

    1978-79

    -

    -

    1987-88

    -

    1993-94

    1996-97

    -

    2002-03

    -

    Inflation

    REAL GDP GROWTH

    CHANGE IN BROAD MONEYSUPPLY

    Poly. (Inflation)

    Poly. (REAL GDP GROWTH)

    Poly. (CHANGE IN BROAD MONEY

    SUPPLY)

    Trend of Inflation, Real GDP Growth and Change in Broad Money Supply

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    INTEREST RATE

    -5

    0

    5

    10

    15

    20

    25

    Y

    1972

    Y

    1974

    Y

    1975

    Y

    1977

    Y

    1980

    Y

    1982

    Y

    1983

    Y

    1985

    Y

    1988

    Y

    1991

    Y

    1993

    Y

    1996

    Y

    1999

    Y

    2001

    Y

    2004

    Y

    2007

    INFLATION

    INTEREST RATE

    Poly. (INFLATION)

    Poly. ( INTEREST RATE)

    Correlation between call/notice interest rate andinflation in India gives a coefficient of +0.351

    LONG RUN TREND BETWEEN INTEREST RATE AND INFLATION

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    CONCLUSION QTM is not supported by regression model

    Positive moderate response of interest rate to

    inflation

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    Positive correlation of 0.257 between interest

    rate and money supply growth

    Though interest rate is responding to inflation

    this does not get translated into an expansion

    or contraction of money supply

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    FUTURE WORK Study of lag effect

    Study of Taylors Rule in Indian context.

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    !!! THANK YOU !!!

    ANY QUESTIONS??