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The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

Political Connections and Minority-Shareholder Protection: Evidence from Securities-Market Regulation in China

Open access
Berkman, Henk, Cole, Rebel A., Fu, Lawrence J.·2010·Journal of Financial and Quantitative Analysis

Abstract

We examine the wealth effects of 3 regulatory changes designed to improve minority-shareholder protection in the Chinese stock markets. Using the value of a firm’s related-party transactions as an inverse proxy for the quality of corporate governance, wefind that firms with weaker governance experienced significantly larger abnormal returns around announcements of the new regulations than did firms with stronger governance. We also find that firms with strong ties to the government did not benefit from the regulations, suggesting that minority shareholders did not expect regulators to enforce the new rules on firms where blockholders have strong political connections.

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Crossref · 10.1017/s0022109010000608

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Metadata

Authors
Berkman, H., Cole, R. A., & Fu, L. J.
Venue
Journal of Financial and Quantitative Analysis
Published
2010-09-21
Volume
45
Issue
6
Pages
1391-1417
ISSN
  • 0022-1090 (ISSN-L)
  • 1756-6916
OpenAlex
W2283460118
Cited by
336
References
4
FWCI
51.77
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Political Connections and Minority-Shareholder Protection: Evidence from Securities-Market Regulation in China. https://app.cochat.ai/papers/10.1017/s0022109010000608
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Berkman, H., Cole, R. A., & Fu, L. J. (2010). Political Connections and Minority-Shareholder Protection: Evidence from Securities-Market Regulation in China. Journal of Financial and Quantitative Analysis. https://doi.org/10.1017/s0022109010000608

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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.