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Testing Informational Market Efficiency on Kuala Lumpur Stock Exchange

Author

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  • Balkiz, Ozer

    (Fakulti Ekonomi Universiti Kebangsaan Malaysia 43600 UKM Bangi Selangor Darul Ehsan)

Abstract

The primarily objective of this study is to investigate the informational efficiency of the Kuala Lumpur Security Exchange (KLSE) in terms of the daily Composite Index for the period of 1″ January 1977 - 3 May 2002. This paper concerned with the weak form test of efficient market hypothesis. Since its discovery in 1982 by Engel, Autoregressive Conditional Heterocedastic (ARCH) modelling , which allows the conditional variance two change over time as a function of past errors keeping the unconditional variance constant, has tum out to be a growth industry, with all sorts of variations on the original model. One that has became well-known is the Generalized Autoregressive Conditional Heterocedastic (GA RCH) model that is developed by Bollerslev (1986). It has been observed that such models capture much temporal behaviour like thick tail distribution and volatility clustering of many economic and financial variables. Since, in order to explore efficiency of such growing market a non-linear GARCH model is estimated. Empirical results confirm that KLSE is predictable and thus is not informationally efficient in the weak sense and volatility of return is quite persistent when daily observation of composite index is used.

Suggested Citation

  • Balkiz, Ozer, 2003. "Testing Informational Market Efficiency on Kuala Lumpur Stock Exchange," Jurnal Ekonomi Malaysia, Faculty of Economics and Business, Universiti Kebangsaan Malaysia, vol. 37, pages 3-20.
    • Handle: RePEc:ukm:jlekon:v:37:y:2003:i::p:3-20
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    References listed on IDEAS

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    1. Hong, Hai, 1978. "Predictability of Price Trends on Stock Exchanges: A Study of Some Far Eastern Countries," The Review of Economics and Statistics, MIT Press, vol. 60(4), pages 619-621, November.
    2. Higgins, Matthew L & Bera, Anil K, 1992. "A Class of Nonlinear ARCH Models," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 33(1), pages 137-158, February.
    3. Andrew W. Lo, A. Craig MacKinlay, 1988. "Stock Market Prices do not Follow Random Walks: Evidence from a Simple Specification Test," The Review of Financial Studies, Society for Financial Studies, vol. 1(1), pages 41-66.
    4. Opong, Kwaku K. & Mulholland, Gwyneth & Fox, Alan F. & Farahmand, Kambiz, 1999. "The behaviour of some UK equity indices: An application of Hurst and BDS tests1," Journal of Empirical Finance, Elsevier, vol. 6(3), pages 267-282, September.
    5. Scheinkman, Jose A & LeBaron, Blake, 1989. "Nonlinear Dynamics and Stock Returns," The Journal of Business, University of Chicago Press, vol. 62(3), pages 311-337, July.
    6. Lumsdaine, Robin L. & Ng, Serena, 1999. "Testing for ARCH in the presence of a possibly misspecified conditional mean," Journal of Econometrics, Elsevier, vol. 93(2), pages 257-279, December.
    7. Willey, Thomas, 1992. "Testing for nonlinear dependence in daily stock indices," Journal of Economics and Business, Elsevier, vol. 44(1), pages 63-76, February.
    8. Wooldridge, Jeffrey M., 1991. "On the application of robust, regression- based diagnostics to models of conditional means and conditional variances," Journal of Econometrics, Elsevier, vol. 47(1), pages 5-46, January.
    9. Hsieh, David A, 1991. "Chaos and Nonlinear Dynamics: Application to Financial Markets," Journal of Finance, American Finance Association, vol. 46(5), pages 1839-1877, December.
    10. Robinson, P. M., 1991. "Testing for strong serial correlation and dynamic conditional heteroskedasticity in multiple regression," Journal of Econometrics, Elsevier, vol. 47(1), pages 67-84, January.
    11. Hinich, Melvin J & Patterson, Douglas M, 1985. "Evidence of Nonlinearity in Daily Stock Returns," Journal of Business & Economic Statistics, American Statistical Association, vol. 3(1), pages 69-77, January.
    12. Weiss, Andrew A., 1986. "Asymptotic Theory for ARCH Models: Estimation and Testing," Econometric Theory, Cambridge University Press, vol. 2(1), pages 107-131, April.
    13. De Bondt, Werner F M & Thaler, Richard H, 1987. "Further Evidence on Investor Overreaction and Stock Market Seasonalit y," Journal of Finance, American Finance Association, vol. 42(3), pages 557-581, July.
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