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Trading Frequency and Event Study Test Specification

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Author Info

  • Arnold R. Cowan

    (Iowa State University)

  • Anne M.A. Sergeant

    (Iowa State University)

Abstract

We examine the effects of thin trading on the specification of event study tests. Simu-lations of upper and lower tail tests are reported with and without variance increases on the event date across levels of trading volume. The traditional standardized test is mis-specified for thinly traded samples. If return variance is unlikely to increase, then Cor-rado’s rank test provides the best specification and power. With variance increases, the rank test is misspecificed. The Boehmer et al. standardized cross-sectional test is properly specified, but not powerful, for upper-tailed tests. Lower-tailed alternative hy-potheses can best be evaluated using the generalized sign test.

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Bibliographic Info

Paper provided by EconWPA in its series Finance with number 9610002.

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Length: 37 pages
Date of creation: 15 Oct 1996
Date of revision:
Handle: RePEc:wpa:wuwpfi:9610002

Note: Type of Document - Word 6.0/7.0; prepared on Windows; to print on PostScript; pages: 37. Forthcoming in Journal of Banking and Finance.
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Web page: http://128.118.178.162

Related research

Keywords: event study research methods; trading volume; thin trading; nonparametric tests; Nasdaq;

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References

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  1. 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.
  2. 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.
  3. Campbell, Cynthia J. & Wesley, Charles E., 1993. "Measuring security price performance using daily NASDAQ returns," Journal of Financial Economics, Elsevier, vol. 33(1), pages 73-92, February.
  4. Maynes, Elizabeth & Rumsey, John, 1993. "Conducting event studies with thinly traded stocks," Journal of Banking & Finance, Elsevier, vol. 17(1), pages 145-157, February.
  5. 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.
  6. Brown, Stephen J. & Warner, Jerold B., 1985. "Using daily stock returns : The case of event studies," Journal of Financial Economics, Elsevier, vol. 14(1), pages 3-31, March.
  7. Scholes, Myron & Williams, Joseph, 1977. "Estimating betas from nonsynchronous data," Journal of Financial Economics, Elsevier, vol. 5(3), pages 309-327, December.
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