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Event Studies and Systems Methods: Some Additional Evidence

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  • McDonald, Bill

Abstract

This paper extends a recent study by Malatesta [14] on measuring abnormal performance using joint generalized least squares. For monthly data and a random sample of securities, Malatesta finds that there is little benefit in using more sophisticated econometric techniques to identify abnormal returns. The current study extends these results using a design that is more amenable to the benefits of the generalized methods and is consistent with actual event studies. Most notably, the study uses a sample of securities experiencing an actual event and tests both monthly and daily data. In addition, iterative techniques are compared to the ordinary least squares and estimated generalized least squares methods. The results of this study support the original conclusions of Malatesta, indicating no measurable gain in using any of the systems methods for event study applications.

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  • McDonald, Bill, 1987. "Event Studies and Systems Methods: Some Additional Evidence," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 22(4), pages 495-504, December.
    • Handle: RePEc:cup:jfinqa:v:22:y:1987:i:04:p:495-504_01
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    Cited by:

    1. da Graça, Tarcisio B., 2010. "Improving the statistical power of financial event studies: The inverse variance weighted average-based test," Journal of Empirical Finance, Elsevier, vol. 17(4), pages 803-817, September.
    2. Yadav, Pradeep K., 1992. "Event studies based on volatility of returns and trading volume: A review," The British Accounting Review, Elsevier, vol. 24(2), pages 157-184.
    3. Szymon Okoń, 2012. "Investor Reaction to Mandatory Offers on the Warsaw Stock Exchange," Contemporary Economics, University of Economics and Human Sciences in Warsaw., vol. 6(2), June.
    4. Walter Teets & Robert P. Parks, 1993. "A Simulation Investigation of Firm-Specific Equation Models as Used in Accounting Information Event Studies," Econometrics 9307001, University Library of Munich, Germany.
    5. Marcus A. Ingram & Virginia C. Ingram, 1993. "Consistent Estimation Of Residual Variance In Regulatory Event Studies," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 16(2), pages 151-160, June.

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