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Stock Returns Volatility in an Emerging Market: The Pakistani Evidence

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  • Husain, Fazal
  • UPPAL, Jamshed

Abstract

This paper examines stock returns volatility in the Pakistani equity market. Using daily stock prices of 36 companies, 8 sector indices, and the general market index, the AutoRegressive Conditional Heteroscedasticity (ARCH) class of models was applied. The analyses suggest that one of the factors causing high serial dependence in stock returns in the Pakistani equity market is the presence of conditional heteroscedasticity or volatility in stock returns and that even after controlling for volatility the returns in the market are, in general, predictable. The results show GARCH(1,1) to be an appropriate representation of conditional variance implying that current volatility in the market is significantly affected by the past volatilities. There is also strong evidence of persistence in variance in returns implying that shocks to volatility continue for a long period. However, after accounting for the structural shift due to opening of the market, the persistence was found to decline significantly.

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Bibliographic Info

Paper provided by University Library of Munich, Germany in its series MPRA Paper with number 5270.

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Date of creation: 1999
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Publication status: Published in Pakistan Journal of Applied Economics 1.15(1999): pp. 19-40
Handle: RePEc:pra:mprapa:5270

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Related research

Keywords: Stock Returns; Volatility; Pakistan; ARCH Models; Persistence;

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References

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  1. Tim Bollerslev, 1986. "Generalized autoregressive conditional heteroskedasticity," EERI Research Paper Series EERI RP 1986/01, Economics and Econometrics Research Institute (EERI), Brussels.
  2. de Jong, Frank & Kemna, Angelien & Kloek, Teun, 1992. "A contribution to event study methodology with an application to the Dutch stock market," Journal of Banking & Finance, Elsevier, vol. 16(1), pages 11-36, February.
  3. Ehsan Ahmed & J. Barkley Rosser, Jr., 1995. "Non-linear Speculative Bubbles in the Pakistani Stock Market," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 34(1), pages 25-41.
  4. French, Kenneth R. & Schwert, G. William & Stambaugh, Robert F., 1987. "Expected stock returns and volatility," Journal of Financial Economics, Elsevier, vol. 19(1), pages 3-29, September.
  5. Akgiray, Vedat, 1989. "Conditional Heteroscedasticity in Time Series of Stock Returns: Evidence and Forecasts," The Journal of Business, University of Chicago Press, vol. 62(1), pages 55-80, January.
  6. Baillie, Richard T. & DeGennaro, Ramon P., 1990. "Stock Returns and Volatility," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 25(02), pages 203-214, June.
  7. Poon, Ser-Huang & Taylor, Stephen J., 1992. "Stock returns and volatility: An empirical study of the UK stock market," Journal of Banking & Finance, Elsevier, vol. 16(1), pages 37-59, February.
  8. Husain, Fazal & Forbes, Kevin, 1999. "Efficiency in a Thinly Traded Market: The Case of Pakistan," MPRA Paper 5355, University Library of Munich, Germany.
  9. Bollerslev, Tim & Chou, Ray Y. & Kroner, Kenneth F., 1992. "ARCH modeling in finance : A review of the theory and empirical evidence," Journal of Econometrics, Elsevier, vol. 52(1-2), pages 5-59.
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Cited by:
  1. Iqbal, Javed & Haider, Aziz, 2005. "Arbitrage pricing theory: evidence from an emerging stock market," MPRA Paper 8699, University Library of Munich, Germany.
  2. Syed Adeel Hussain, 2013. "Differentiation of Market Risk Characteristics among Sharia Compliant and Conventional Equities listed on the Pakistani Capital Market - KSE 100 Index over a selective time period," 2013 Papers phu395, Job Market Papers.
  3. Abid Hameed & Hammad Ashraf, 2006. "Stock Market Volatility and Weak-form Efficiency: Evidence from an Emerging Market," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 45(4), pages 1029-1040.
  4. Akber, Ushna & Muhammad, Nabeel, 2013. "Is Pakistan Stock Market moving towards Weak-form efficiency? Evidence from the Karachi Stock Exchange and the Random Walk Nature of free-float of shares of KSE 30 Index," MPRA Paper 49128, University Library of Munich, Germany.

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