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A Nonparametric Distribution-Free Test for Serial Independence in Stock Returns: A. Correction

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  • Corrado, Charles J.
  • Schatzberg, John

Abstract

A fundamental statistical test of serial independence developed by Ashley and Patterson (1986) to examine a possible form of serial dependence in daily stock returns is shown to be improperly constructed. As a consequence, the significance probabilities that they obtain are overstated. This paper presents a corrected version of their test. The test statistic obtained after correction is shown to possess the same limiting distribution as the Kolmogorov-Smirnov test statistic. Applying the corrected test procedure to data identical to that used by Ashley and Patterson, we find that their original null hypothesis can no longer be rejected at conventional significance levels.

Suggested Citation

  • Corrado, Charles J. & Schatzberg, John, 1990. "A Nonparametric Distribution-Free Test for Serial Independence in Stock Returns: A. Correction," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 25(3), pages 411-415, September.
    • Handle: RePEc:cup:jfinqa:v:25:y:1990:i:03:p:411-415_00
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    Cited by:

    1. Mun, Johnathan C. & Vasconcellos, Geraldo M. & Kish, Richard, 2000. "The Contrarian/Overreaction Hypothesis: An analysis of the US and Canadian stock markets," Global Finance Journal, Elsevier, vol. 11(1-2), pages 53-72.
    2. Mookerjee, Rajen & Yu, Qiao, 1999. "An empirical analysis of the equity markets in China," Review of Financial Economics, Elsevier, vol. 8(1), pages 41-60, June.
    3. Mun, Johnathan C. & Vasconcellos, Geraldo M. & Kish, Richard, 1999. "Tests of the Contrarian Investment Strategy Evidence from the French and German stock markets," International Review of Financial Analysis, Elsevier, vol. 8(3), pages 215-234, March.
    4. Rajen Mookerjee & Qiao Yu, 1999. "An empirical analysis of the equity markets in China," Review of Financial Economics, John Wiley & Sons, vol. 8(1), pages 41-60.

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