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Cited by 314

The DOI matches its Crossref record; 27 of the 27 references it cites were found in a registry or an index.

Management Turnover and Governance Changes Following the Revelation of Fraud

Agrawal, Anup, Jaffe, Jeffrey F., Karpoff, Jonathan M.·1999·The Journal of Law and Economics

Abstract

Fraud scandals can create incentives to change managers in an attempt to improve the firm's performance, recover lost reputational capital, or limit the firm's exposure to liabilities that arise from the fraud. It also is possible that the revelation of fraud creates incentives to change the composition of the firm's board, to improve the external monitoring of managers, or to rent new directors' valuable reputational or political capital. Despite such claims, we find little systematic evidence that firms suspected or charged with fraud have unusually high turnover among senior managers or directors. In univariate comparisons, there is some evidence that firms committing fraud have higher managerial and director turnover. But in multivariate tests that control for other firm attributes, such evidence disappears. These findings indicate that the revelation of fraud does not, in general, increase the net benefits to changing managers or the firm's leadership structure.

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Metadata

Authors
Agrawal, A., Jaffe, J. F., & Karpoff, J. M.
Venue
The Journal of Law and Economics
Published
1999-04
Volume
42
Issue
S1
Pages
309-342
ISSN
  • 0022-2186 (ISSN-L)
  • 1537-5285
OpenAlex
W1977464646
Cited by
314
References
27
FWCI
11.89
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Management Turnover and Governance Changes Following the Revelation of Fraud. https://app.cochat.ai/papers/10.1086/467427
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Agrawal, A., Jaffe, J. F., & Karpoff, J. M. (1999). Management Turnover and Governance Changes Following the Revelation of Fraud. The Journal of Law and Economics. https://doi.org/10.1086/467427

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.