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Cited by 476

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Blockholders and Corporate Governance

Edmans, Alex·2014·Annual Review of Financial Economics

Abstract

This paper reviews the theoretical and empirical literature on the channels through which blockholders (large shareholders) engage in corporate governance. In classical models, blockholders exert governance through direct intervention in a firm’s operations, otherwise known as “voice.” These theories have motivated empirical research on the determinants and consequences of activism. More recent models show that blockholders can govern through an alternative mechanism known as “exit”—selling their shares if the manager underperforms. These theories give rise to new empirical studies on the two-way relationship between blockholders and financial markets, linking corporate finance with asset pricing. Blockholders may also worsen governance by extracting private benefits of control or pursuing objectives other than firm value maximization. I highlight the empirical challenges in identifying causal effects of and on blockholders as well as the typical strategies attempted to achieve identification. I close with directions for future research.

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Metadata

Authors
Edmans, A.
Venue
Annual Review of Financial Economics
Published
2014-12-01
Volume
6
Issue
1
Pages
23-50
ISSN
  • 1941-1367 (ISSN-L)
  • 1941-1375
OpenAlex
W3003883893
Cited by
476
References
1
FWCI
27.60
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Blockholders and Corporate Governance. https://app.cochat.ai/papers/10.1146/annurev-financial-110613-034455
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Edmans, A. (2014). Blockholders and Corporate Governance. Annual Review of Financial Economics. https://doi.org/10.1146/annurev-financial-110613-034455

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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.