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Why Do Bank Boards Have Risk Committees?

Published online by Cambridge University Press:  01 April 2026

René M. Stulz*
Affiliation:
The Ohio State University Department of Finance
James Tompkins
Affiliation:
Kennesaw State University jtompkin@kennesaw.edu
Rohan Williamson
Affiliation:
Georgetown University williarg@georgetown.edu
Zhongxia (Shelly) Ye
Affiliation:
The University of Texas at San Antonio zhongxia.ye@utsa.edu
*
stulz.1@osu.edu (corresponding author)
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Abstract

While the Dodd–Frank Act (DFA) mandates board risk committees for large banks, we argue that such committees do not benefit all banks. Banks forced by the DFA to adopt a board risk committee do not experience a reduction in risk following adoption. In contrast, banks that voluntarily established risk committees before the DFA exhibit lower risk, especially when these committees possess greater risk expertise. Using unique interview data, we find that board risk committees serve as active monitors rather than merely rubber-stamping management proposals. However, regulatory-mandated tasks limit their monitoring role.

Information

Type
Research Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2026. Published by Cambridge University Press on behalf of the Michael G. Foster School of Business, University of Washington
Figure 0

TABLE 1 Bank Sample by Year and Risk Committee

Figure 1

TABLE 2 Descriptive Statistics for 2006

Figure 2

TABLE 3 Probability of Having a Risk Committee in 2006

Figure 3

TABLE 4 Crisis Performance Regressions

Figure 4

TABLE 5 Performance Regressions: Full Sample Period

Figure 5

FIGURE 1 Risk Committee MonitoringFigure 1 reports the percentage of bank risk committee interviewees that large language models classify, with clear evidence, as agreeing with five questions related to the committee’s monitoring role. We use two models, Gemini 2.5 Flash and GPT-5 Mini, which were instructed to read each interview transcript and answer “Yes,” “No,” or “No Evidence” to each question. The exact questions and prompts are listed in Section IV of the Supplementary Material. For each question, we report the percentage of interviewees classified as agreeing by each model, along with the average between the two.

Figure 6

FIGURE 2 Risk Committee’s Use of TimeFigure 2 reports the percentage of bank risk committee interviewees that large language models classify, with clear evidence, as agreeing with five questions related to the committee’s use of time. We use two models, Gemini 2.5 Flash and GPT-5 Mini, which were instructed to read each interview transcript and answer “Yes,” “No,” or “No Evidence” to each question. The exact questions and prompts are listed in Section IV of the Supplementary Material. For each question, we report the percentage of interviewees classified as agreeing by each model, along with the average between the two.

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