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Cited by 770

The DOI matches its Crossref record; 107 of the 107 references it cites were found in a registry or an index.

Gender Diversity and Securities Fraud

Open access
Cumming, Douglas, Leung, T. Y., Rui, Oliver·2015·Academy of Management Journal

Abstract

We formulate theory on the effect of board of director gender diversity on the broad spectrum of securities fraud, and generate three key insights. First, based on ethicality, risk aversion, and diversity, we hypothesize that gender diversity on boards can operate as a significant moderator for the frequency of fraud. Second, we advance that the stock market response to fraud from a more gender-diverse board is significantly less pronounced. Third, we posit that women are more effective in male-dominated industries in reducing both the frequency and severity of fraud. Results of our novel empirical tests, based on data from a large sample of Chinese firms that committed securities fraud, are largely consistent with each of these hypotheses.

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Crossref · 10.5465/amj.2013.0750

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Metadata

Authors
Cumming, D., Leung, T. Y., & Rui, O.
Venue
Academy of Management Journal
Published
2015-10
Volume
58
Issue
5
Pages
1572-1593
ISSN
  • 0001-4273 (ISSN-L)
  • 1948-0989
OpenAlex
W3124618612
Cited by
770
References
107
FWCI
55.22
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Gender Diversity and Securities Fraud. https://app.cochat.ai/papers/10.5465/amj.2013.0750
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Cumming, D., Leung, T. Y., & Rui, O. (2015). Gender Diversity and Securities Fraud. Academy of Management Journal. https://doi.org/10.5465/amj.2013.0750

Data sources

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.