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Macroeconomic Factors and Pakistani Equity Market

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Author Info

  • Mohammed Nishat

    (Institute of Business Administration, Karachi.)

  • Rozina Shaheen

    (Institute of Business Administration, Korangi Creek, Karachi.)

Abstract

This paper analyzes long-term equilibrium relationships between a group of macroeconomic variables and the Karachi Stock Exchange Index. The macroeconomic variables are represented by the industrial production index, the consumer price index, M1, and the value of an investment earning the money market rate. We employ a vector error correction model to explore such relationships during 1973:1 to 2004:4. We found that these five variables are cointegrated and two long-term equilibrium relationships exist among these variables. Our results indicated a "causal" relationship between the stock market and the economy. Analysis of our results indicates that industrial production is the largest positive determinant of Pakistani stock prices, while inflation is the largest negative determinant of stock prices in Pakistan. We found that while macroeconomic variables Granger-caused stock price movements, the reverse causality was observed in case of industrial production and stock prices. Furthermore, we found that statistically significant lag lengths between fluctuations in the stock market and changes in the real economy are relatively short.

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Bibliographic Info

Article provided by Pakistan Institute of Development Economics in its journal The Pakistan Development Review.

Volume (Year): 43 (2004)
Issue (Month): 4 ()
Pages: 619-637

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Handle: RePEc:pid:journl:v:43:y:2004:i:4:p:619-637

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Keywords: Financial Market; Pakistan; Stock Market;

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References

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  1. Hsain, Fazal & Mahmood, Tariq, 2001. "The Stock Market and the Economy in Pakistan," MPRA Paper 2721, University Library of Munich, Germany.
  2. Robert H. DeFina, 1991. "Does inflation depress the stock market?," Business Review, Federal Reserve Bank of Philadelphia, issue Nov, pages 3-12.
  3. Cushman, David O. & Sang Sub Lee & Thorgeirsson, Thorsteinn, 1996. "Maximum likelihood estimation of cointegration in exchange rate models for seven inflationary OECD countries," Journal of International Money and Finance, Elsevier, vol. 15(3), pages 337-368, June.
  4. Dickey, David A & Fuller, Wayne A, 1981. "Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root," Econometrica, Econometric Society, vol. 49(4), pages 1057-72, June.
  5. Chen, Nai-Fu & Roll, Richard & Ross, Stephen A, 1986. "Economic Forces and the Stock Market," The Journal of Business, University of Chicago Press, vol. 59(3), pages 383-403, July.
  6. Wai-Chung Lo & Hung-Gay Fung & Morse, Joel N., 1995. "A note on Euroyen and domestic yen interest rates," Journal of Banking & Finance, Elsevier, vol. 19(7), pages 1309-1321, October.
  7. Fama, Eugene F. & Schwert, G. William, 1977. "Asset returns and inflation," Journal of Financial Economics, Elsevier, vol. 5(2), pages 115-146, November.
  8. Geske, Robert & Roll, Richard, 1983. " The Fiscal and Monetary Linkage between Stock Returns and Inflation," Journal of Finance, American Finance Association, vol. 38(1), pages 1-33, March.
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Cited by:
  1. Shahbaz, Muhammad & Islam, Faridul, 2010. "Stocks as Hedge against Inflation in Pakistan: Evidence from ARDL Approach," MPRA Paper 30970, University Library of Munich, Germany, revised 23 Mar 2011.
  2. Arshad Hasan & M. Tariq Javed, 2009. "An Empirical Investigation of the Causal Relationship among Monetary Variables and Equity Market Returns," Lahore Journal of Economics, Department of Economics, The Lahore School of Economics, vol. 14(1), pages 115-137, Jan-Jun.
  3. Ahmet Ozcan, 2012. "The Relationship Between Macroeconomic Variables and ISE Industry Index," International Journal of Economics and Financial Issues, Econjournals, vol. 2(2), pages 184-189.

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