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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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    Cited by:

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    More about this item

    Keywords

    Rank test; Event study; Abnormal returns; Cross-sectional dependence;
    All these keywords.

    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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