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Testing the Weak Form Efficiency in Pakistan’s Equity, Badla and Money Markets

Author

Listed:
  • Rashid, Abdul
  • Husain, Fazal

Abstract

The paper test the weak form market efficient hypothesis for Pakistan’s equity, badla and money markets with an aim to investigate which one of them is most efficient in the weak form sense. The analysis provides evidence, under the assumption of heteroscedasticity, that the KSE is weak-form efficient over the full-length sample period. Nevertheless, the analysis reports that over the same period the other two markets viz. badla and money are not weak form efficient. The badla market was efficient over the first sub-period. An important finding of this effort is that “badla mechanism” became weak form inefficient after equity market severely affected in February 2005. Inefficient badla market may be one of the major reasons behind the malicious instability of the equity market in Pakistan. We hope that this finding can guide the policymakers in formulating strategies to provide a weighing scale in financial mechanism.

Suggested Citation

  • Rashid, Abdul & Husain, Fazal, 2009. "Testing the Weak Form Efficiency in Pakistan’s Equity, Badla and Money Markets," MPRA Paper 22285, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:22285
    as

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    File URL: https://mpra.ub.uni-muenchen.de/22285/1/MPRA_paper_22285.pdf
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    References listed on IDEAS

    as
    1. Hausman, Jerry, 2015. "Specification tests in econometrics," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 38(2), pages 112-134.
    2. Richardson, Matthew P & Smith, Tom, 1994. "A Unified Approach to Testing for Serial Correlation in Stock Returns," The Journal of Business, University of Chicago Press, vol. 67(3), pages 371-399, July.
    3. Bessembinder, Hendrik & Chan, Kalok, 1992. "Time-varying risk premia and forecastable returns in futures markets," Journal of Financial Economics, Elsevier, vol. 32(2), pages 169-193, October.
    4. Neftci, Salih N & Policano, Andrew J, 1990. "On Some Sample Path Properties of Intra-day Futures Prices," The Review of Economics and Statistics, MIT Press, vol. 72(3), pages 529-536, August.
    5. 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.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Weak Form Efficiency; Stock Returns; Badla Rate; Repo Rate; March Crises; Variance-Ratio Tests;
    All these keywords.

    JEL classification:

    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • E42 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Monetary Sytsems; Standards; Regimes; Government and the Monetary System
    • G18 - Financial Economics - - General Financial Markets - - - Government Policy and Regulation

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