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Event Studies and Systems Methods: Some Additional Evidence

Published online by Cambridge University Press:  06 April 2009

Bill McDonald
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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.

Type
Research Article
Information
Journal of Financial and Quantitative Analysis , Volume 22 , Issue 4 , December 1987 , pp. 495 - 504
Copyright
Copyright © School of Business Administration, University of Washington 1987

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