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Cited by 1,887

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Quantifying Managerial Ability: A New Measure and Validity Tests

Open access
Demerjian, Peter, Lev, Baruch, McVay, Sarah·2012·Management Science

Abstract

We propose a measure of managerial ability, based on managers' efficiency in generating revenues, which is available for a large sample of firms and outperforms existing ability measures. We find that our measure is strongly associated with manager fixed effects and that the stock price reactions to chief executive officer (CEO) turnovers are positive (negative) when we assess the outgoing CEO as low (high) ability. We also find that replacing CEOs with more (less) able CEOs is associated with improvements (declines) in subsequent firm performance. We conclude with a demonstration of the potential of the measure. We find that the negative relation between equity financing and future abnormal returns documented in prior research is mitigated by managerial ability. Specifically, more able managers appear to utilize equity issuance proceeds more effectively, illustrating that our more precise measure of managerial ability will allow researchers to pursue studies that were previously difficult to conduct. This paper was accepted by Mary E. Barth, accounting.

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Metadata

Authors
Demerjian, P., Lev, B., & McVay, S.
Venue
Management Science
Published
2012-07
Volume
58
Issue
7
Pages
1229-1248
ISSN
  • 0025-1909 (ISSN-L)
  • 1526-5501
OpenAlex
W3125615571
Cited by
1,887
References
50
FWCI
75.51
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Quantifying Managerial Ability: A New Measure and Validity Tests. https://app.cochat.ai/papers/10.1287/mnsc.1110.1487
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Demerjian, P., Lev, B., & McVay, S. (2012). Quantifying Managerial Ability: A New Measure and Validity Tests. Management Science. https://doi.org/10.1287/mnsc.1110.1487

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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.