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Nonparametric tests for event studies under cross-sectional dependence

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  • Matteo Pelagatti

Abstract

We propose three nonparametric tests for the null of no eventinduced shifts in the distribution of stock returns. One test is the natural extension of the popular Corrado rank test to the case of crosssectionally dependent returns, while the other two are based on new ideas. Unfortunately only for one of these tests a solid theory for approximating the distribution of the statistic can be derived, but some simulation experiments confirm that normality is a good approximation also for the other two. The new tests are compared to a widely used parametric test (Patell) through simulation experiments and are shown to compare favourably in terms of power. Simulation results are based on bootstrapping daily stock returns from the S&P100 and NASDAQ indexes.

Suggested Citation

  • Matteo Pelagatti, 2013. "Nonparametric tests for event studies under cross-sectional dependence," Working Papers 244, University of Milano-Bicocca, Department of Economics, revised May 2013.
  • Handle: RePEc:mib:wpaper:244
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    File URL: http://dems.unimib.it/repec/pdf/mibwpaper244.pdf
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    References listed on IDEAS

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    1. Dodd, Peter & Warner, Jerold B., 1983. "On corporate governance : A study of proxy contests," Journal of Financial Economics, Elsevier, vol. 11(1-4), pages 401-438, April.
    2. Lummer, Scott L. & McConnell, John J., 1989. "Further evidence on the bank lending process and the capital-market response to bank loan agreements," Journal of Financial Economics, Elsevier, vol. 25(1), pages 99-122, November.
    3. Jan Bartholdy & Dennis Olson & Paula Peare, 2007. "Conducting Event Studies on a Small Stock Exchange," The European Journal of Finance, Taylor & Francis Journals, vol. 13(3), pages 227-252.
    4. James W. Kolari & Seppo Pynnönen, 2010. "Event Study Testing with Cross-sectional Correlation of Abnormal Returns," Review of Financial Studies, Society for Financial Studies, vol. 23(11), pages 3996-4025, November.
    5. Kolari, James W. & Pynnonen, Seppo, 2011. "Nonparametric rank tests for event studies," Journal of Empirical Finance, Elsevier, vol. 18(5), pages 953-971.
    6. Corrado, Charles J., 1989. "A nonparametric test for abnormal security-price performance in event studies," Journal of Financial Economics, Elsevier, vol. 23(2), pages 385-395, August.
    7. Boehmer, Ekkehart & Masumeci, Jim & Poulsen, Annette B., 1991. "Event-study methodology under conditions of event-induced variance," Journal of Financial Economics, Elsevier, vol. 30(2), pages 253-272, December.
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    More about this item

    Keywords

    Rank test; Event study; Abnormal returns; Cross-sectional dependence;

    JEL classification:

    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General

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