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Event Study Methodology: A New And Stochastically Flexible Approach

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  • Patrick L. Brockett
  • Hwei-Mei CHEN
  • James R. GARVEN
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    Abstract

    A number of articles have documented that the classical event study methodology exhibits a bias toward detecting "effects", irrespective of whether such effects actually exist. This paper addresses this bias by presenting a new methodology that explicitly incorporates stochastic behaviors of the market that are documented to exist and which are assumed away by the classical event study methodology. We apply our new methodology to an examination of the effect of the passage of California’s Proposition 103 on the prices of insurance stocks. Proposition 103 was important regulatory event that previously has been investigated using classical event study techniques. We find that the passage of Proposition 103 did not significantly impact the returns on most insurance company stocks, a result that stands in stark contrast to other studies. Consequently, our study suggests that the application of the classical event study methodology, without checking the behavior of security returns for stochastic beta and GARCH effects, may very well cause researchers to draw inappropriate conclusions.

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    File URL: http://128.118.178.162/eps/ri/papers/9507/9507001.pdf
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    Bibliographic Info

    Paper provided by EconWPA in its series Risk and Insurance with number 9507001.

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    Length: 46 pages
    Date of creation: 31 Jul 1995
    Date of revision:
    Handle: RePEc:wpa:wuwpri:9507001

    Note: Type of Document - PostScript; pages: 46; figures: included
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    Web page: http://128.118.178.162

    Related research

    Keywords: event study methodology; ARCH; GARCH; cumulative sums; Proposition 103;

    References

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    1. Schwert, G William & Seguin, Paul J, 1990. " Heteroskedasticity in Stock Returns," Journal of Finance, American Finance Association, vol. 45(4), pages 1129-55, September.
    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. Asquith, Paul & Bruner, Robert F. & Mullins, David Jr., 1983. "The gains to bidding firms from merger," Journal of Financial Economics, Elsevier, vol. 11(1-4), pages 121-139, April.
    4. Connolly, Robert A., 1989. "An Examination of the Robustness of the Weekend Effect," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 24(02), pages 133-169, June.
    5. Breusch, T S & Pagan, A R, 1979. "A Simple Test for Heteroscedasticity and Random Coefficient Variation," Econometrica, Econometric Society, vol. 47(5), pages 1287-94, September.
    6. Brown, Stephen J. & Warner, Jerold B., 1980. "Measuring security price performance," Journal of Financial Economics, Elsevier, vol. 8(3), pages 205-258, September.
    7. Frankfurter, George M. & McGoun, Elton G., 1993. "The event study: An industrial strength method," International Review of Financial Analysis, Elsevier, vol. 2(2), pages 121-141.
    8. Fields, Joseph A. & Ghosh, Chinmoy & Kidwell, David S. & Klein, Linda S., 1990. "Wealth effects of regulatory reform *1: The reaction to California's proposition 103," Journal of Financial Economics, Elsevier, vol. 28(1-2), pages 233-250.
    9. J. David Cummins & Sharon Tennyson, 1992. "Controlling Automobile Insurance Costs," Journal of Economic Perspectives, American Economic Association, vol. 6(2), pages 95-115, Spring.
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