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Cited by 416

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Block Investment and Partial Benefits of Corporate Control

Zwiebel, J.·1995·The Review of Economic Studies

Abstract

Despite familiar arguments for diversification, many investors choose to hold significant blocks of equity in the same firm. While control benefits may explain majority blocks, most blocks are much smaller than what is generally considered necessary for control. This paper develops a theory whereby such blocks can confer to their holders partial benefits of control; in particular, small block shareholders can join together and form controlling coalitions. The implications of such a cooperative game among block shareholders for the shareholder structure within and across firms are examined. This paper predicts large investors will “create their own space” by staking out large enough blocks to deter other block investors, there will be a threshold level above which large investors are not challenged, and that the shareholder structure across firms will exhibit a particular clientele effect among block shareholders. These predictions are consistent with a preliminary review of empirical evidence.

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Metadata

Authors
Zwiebel, J.
Venue
The Review of Economic Studies
Published
1995-04-01
Volume
62
Issue
2
Pages
161-185
ISSN
  • 0034-6527 (ISSN-L)
  • 1467-937X
OpenAlex
W2032421578
Cited by
416
References
2
FWCI
41.36
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Block Investment and Partial Benefits of Corporate Control. https://app.cochat.ai/papers/10.2307/2297801
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Zwiebel, J. (1995). Block Investment and Partial Benefits of Corporate Control. The Review of Economic Studies. https://doi.org/10.2307/2297801

Data sources

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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.