The Impact of Non-Normality and Misspecification on Merger Event Studies
AbstractFinancial event studies using daily stock returns are frequently used to evaluate antitrust policy and to 'predict' the consequences of mergers. Although there is ample evidence that daily stock returns are not normally distributed, traditional asymptotic results are often used for hypothesis testing. We suggest some general results concerning the conditions under which using �1.96 as critical values for hypothesis testing under or over state the true significance levels. Further, we investigate the cause of non-normal event study residuals and find that a possible alternative explanation to one in which non-normality of residuals is the consequence of omitted events.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoArticle provided by Taylor & Francis Journals in its journal International Journal of the Economics of Business.
Volume (Year): 13 (2006)
Issue (Month): 2 ()
Contact details of provider:
Web page: http://www.tandfonline.com/CIJB20
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- 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.
- 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.
- Bittlingmayer, George & Hazlett, Thomas W., 2000. "DOS Kapital: Has antitrust action against Microsoft created value in the computer industry?," Journal of Financial Economics, Elsevier, vol. 55(3), pages 329-359, March.
- 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.
- Brown, Stephen J. & Warner, Jerold B., 1980. "Measuring security price performance," Journal of Financial Economics, Elsevier, vol. 8(3), pages 205-258, September.
- Amado Peiro, 2002. "Skewness in individual stocks at different investment horizons," Quantitative Finance, Taylor & Francis Journals, vol. 2(2), pages 139-146.
- Kothari, S. P. & Shanken, Jay, 1997. "Book-to-market, dividend yield, and expected market returns: A time-series analysis," Journal of Financial Economics, Elsevier, vol. 44(2), pages 169-203, May.
- Panagiotis Fotis & Michael Polemis & Nikolaos Zevgolis, 2011. "Robust Event Studies for Derogation from Suspension of Concentrations in Greece during the Period 1995–2008," Journal of Industry, Competition and Trade, Springer, vol. 11(1), pages 67-89, March.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Michael McNulty).
If references are entirely missing, you can add them using this form.