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Testing the Weak Form Efficiency of Pakistani Stock Market (2000–2010)


  • Abdul Haque

    (Department of Management Sciences, COMSATS Lahore, Pakistan.)

  • Hung-Chun Liu

    (Department of Finance, Minghsin University of Science and Technology,Taiwan)

  • Fakhar-Un-Nisa

    (Department of Management Sciences, COMSATS Lahore, Pakistan.)


This empirical paper tests out the weak form efficiency of Pakistani stock market by examining the weekly KSE ?100 index over the period 2000 ? 2010 . Return series has a leptokurtic and negatively skewed distribution, which is away from normal distribution as reflected by significant Jarque-Bera statistic. Estimated results of ADF (1979), PP (1988) and KPSS (1992) tests, Ljung-Box Q-Statistic of autocorrelations and runs test of randomness reject the Random Walk Hypothesis (RWH) for the returns series. Moreover the results of variance ratio test (Lo and MacKinlay (1988)) also reject the RWH and prove the robustness of other estimated results. The rejection of RWH reveals that the Pakistani stock prices are not Weak Form Efficient.

Suggested Citation

  • Abdul Haque & Hung-Chun Liu & Fakhar-Un-Nisa, 2011. "Testing the Weak Form Efficiency of Pakistani Stock Market (2000–2010)," International Journal of Economics and Financial Issues, Econjournals, vol. 1(4), pages 153-162.
  • Handle: RePEc:eco:journ1:2011-04-2

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    References listed on IDEAS

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    Cited by:

    1. Naz, Salma & Razaque, Seema & Khuwaja, Hyder Ali & Ahmed, Niaz, 2014. "Validity of EMH; A Case Study of KSE-100 Index," Sukkur IBA Journal of Management and Business, Sukkur IBA University, vol. 1(1), pages 112-126, October.
    2. repec:hur:ijarbs:v:7:y:2017:i:7:p:551-564 is not listed on IDEAS
    3. Feyyaz Zeren & Filiz Konuk, 2013. "Testing The Random Walk Hypothesis For Emerging Markets: Evidence From Linear And Non-Linear Unit Root Tests," Romanian Economic Business Review, Romanian-American University, vol. 8(4), pages 61-71, december.

    More about this item


    Weak Form Efficiency; Variance Raito; Random Walk;

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading


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