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Event Study Testing with Cross-sectional Correlation of Abnormal Returns

Kolari, James W., Pynnönen, Seppo·2010·Review of Financial Studies

Abstract

This article examines the issue of cross-sectional correlation in event studies. When there is event-date clustering, we find that even relatively low cross-correlation among abnormal returns is serious in terms of over-rejecting the null hypothesis of zero average abnormal returns. We propose a new test statistic that modifies the t-statistic of Boehmer, Musumeci, and Poulsen (1991) to take into account cross-correlation and show that it performs well in competition with others, including the portfolio approach, which is less powerful than other alternatives under study. Also, our statistic is readily useable to test multiple-day cumulative abnormal returns. The Author 2010. Published by Oxford University Press on behalf of The Society for Financial Studies. All rights reserved. For Permissions, please e-mail: journals.permissions@oxfordjournals.org., Oxford University Press.

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Metadata

Authors
Kolari, J. W., & Pynnönen, S.
Venue
Review of Financial Studies
Published
2010-09-21
Volume
23
Issue
11
Pages
3996-4025
ISSN
  • 0893-9454 (ISSN-L)
  • 1465-7368
OpenAlex
W2006536795
Cited by
643
References
4
FWCI
30.42
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Event Study Testing with Cross-sectional Correlation of Abnormal Returns. https://app.cochat.ai/papers/10.1093/rfs/hhq072
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Kolari, J. W., & Pynnönen, S. (2010). Event Study Testing with Cross-sectional Correlation of Abnormal Returns. Review of Financial Studies. https://doi.org/10.1093/rfs/hhq072

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.