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Financial Development and Money Demand Function: Cointegration, Causality and Variance Decomposition Analysis for Pakistan

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  • Muhammad Ahad

Abstract

This study has investigated money demand function incorporating financial development, industrial production, income and exchange rate for Pakistan for time span from 1972 to 2012. Bayer–Hanck combined cointegration and Johansen cointegration approaches have been used to test cointegration among variables and vector error correction model (VECM) approach has been applied to explain the direction of causality in the long run and short run. Unit root problem has been tested by augmented Dickey–Fuller (ADF) and Phillips–Perron (PP) unit root tests. The results indicate that feedback effect is found between financial development and money demand. There is a long-run relationship existing among money demand, financial development, income, industrial production and exchange rate. Financial development is the main factor to determine money demand function in both long run and short run.

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  • Muhammad Ahad, 2017. "Financial Development and Money Demand Function: Cointegration, Causality and Variance Decomposition Analysis for Pakistan," Global Business Review, International Management Institute, vol. 18(4), pages 811-824, August.
  • Handle: RePEc:sae:globus:v:18:y:2017:i:4:p:811-824
    DOI: 10.1177/0972150917692209
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    More about this item

    Keywords

    Financial development; money demand; cointegration; causality; Pakistan;
    All these keywords.

    JEL classification:

    • E41 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Demand for Money
    • G20 - Financial Economics - - Financial Institutions and Services - - - General

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