Conducting Event Studies on a Small Stock Exchange
This paper analyses whether it is possible to perform an event study on a small stock exchange with thinly trade stocks. The main conclusion is that event studies can be performed provided that certain adjustments are made. First, a minimum of 25 events appears necessary to obtain acceptable size and power in statistical tests. Second, trade to trade returns should be used. Third, one should not expect to consistently detect abnormal performance of less than about 1% (or perhaps even 2%), unless the sample contains primarily thickly traded stocks. Fourth, nonparametric tests are generally preferable to parametric tests of abnormal performance. Fifth, researchers should present separate results for thickly and thinly traded stock groups. Finally, when nonnormality, event induced variance, unknown event day, and problems of very thin trading are all considered simultaneously, no one test statistic or type of test statistic dominates the others.
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Volume (Year): 13 (2007)
Issue (Month): 3 ()
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References listed on IDEAS
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- Maynes, Elizabeth & Rumsey, John, 1993. "Conducting event studies with thinly traded stocks," Journal of Banking & Finance, Elsevier, vol. 17(1), pages 145-157, February.
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- Corrado, Charles J. & Zivney, Terry L., 1992. "The Specification and Power of the Sign Test in Event Study Hypothesis Tests Using Daily Stock Returns," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 27(03), pages 465-478, September.
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- John D. Lyon & Brad M. Barber & Chih-Ling Tsai, 1999. "Improved Methods for Tests of Long-Run Abnormal Stock Returns," Journal of Finance, American Finance Association, vol. 54(1), pages 165-201, February.
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