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Long-run stock price performance after IPOs: what do tests for stochastic dominance tell us?

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  • K. -Y. Ho

Abstract

Traditional studies of long-run stock price abnormal performance after corporate events compare the mean returns of an event firm portfolio and a benchmark firm portfolio or index. However, it is well known that long-run abnormal returns are non-normal leading to problems with statistical inference on abnormal performance. Instead in this paper, the entire return distributions of event firms and the benchmark index using non-parametric tests of stochastic dominance are compared. Tests are applied for first and second order stochastic dominance to Ritter's (1991) IPO data. It is found, contrary to results that compare only mean returns, that IPO firms do not underperform a benchmark index. The results are robust to extreme values of buy-and-hold return of IPO firms and underline the fact that long-run abnormal performance measurement is sensitive to the methodology used.

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  • K. -Y. Ho, 2003. "Long-run stock price performance after IPOs: what do tests for stochastic dominance tell us?," Applied Economics Letters, Taylor & Francis Journals, vol. 10(1), pages 15-19.
    • Handle: RePEc:taf:apeclt:v:10:y:2003:i:1:p:15-19
    DOI: 10.1080/13504850210167197A
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    1. Barber, Brad M. & Lyon, John D., 1997. "Detecting long-run abnormal stock returns: The empirical power and specification of test statistics," Journal of Financial Economics, Elsevier, vol. 43(3), pages 341-372, March.
    2. 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.
    3. Ritter, Jay R, 1991. "The Long-run Performance of Initial Public Offerings," Journal of Finance, American Finance Association, vol. 46(1), pages 3-27, March.
    4. Fama, Eugene F., 1998. "Market efficiency, long-term returns, and behavioral finance," Journal of Financial Economics, Elsevier, vol. 49(3), pages 283-306, September.
    5. Ian Crawford, 1999. "Nonparametric tests of stochastic dominance in bivariate distributions, with an application to UK data," IFS Working Papers W99/28, Institute for Fiscal Studies.
    6. Anderson, Gordon, 1996. "Nonparametric Tests of Stochastic Dominance in Income Distributions," Econometrica, Econometric Society, vol. 64(5), pages 1183-1193, September.
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    Cited by:

    1. Oliver Linton & Esfandiar Maasoumi & Yoon-Jae Wang, 2002. "Consistent testing for stochastic dominance: a subsampling approach," CeMMAP working papers 03/02, Institute for Fiscal Studies.
    2. Abhay Abhyankar & Keng-Yu Ho & Huainan Zhao, 2005. "Long-run post-merger stock performance of UK acquiring firms: a stochastic dominance perspective," Applied Financial Economics, Taylor & Francis Journals, vol. 15(10), pages 679-690.

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