Publication Type

Journal Article

Version

publishedVersion

Publication Date

12-1991

Abstract

Many authors have identified the hazards of ignoring event-induced variance in event studies. To determine the practical extent of the problem, we simulate an event with stochastic effects. We find that when an event causes even minor increases in variance, the most commonly-used methods reject the null hypothesis of zero average abnormal return too frequently when it is true, although they are reasonably powerful when it is false. We demonstrate that a simple adjustment to the cross-sectional techniques produces appropriate rejection rates when the null is true and equally powerful tests when it is false.

Discipline

Business | Finance and Financial Management | Management Sciences and Quantitative Methods

Research Areas

Finance

Publication

Journal of Financial Economics

Volume

30

Issue

2

First Page

253

Last Page

272

ISSN

0304-405X

Identifier

10.1016/0304-405X(91)90032-F

Publisher

Elsevier

Copyright Owner and License

Publisher

Comments

JFE All Star Paper (Honors each volume’s top two papers by average citations per year).

Additional URL

https://doi.org/10.1016/0304-405X(91)90032-F

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