Contrary to conventional wisdom, we show that higher capital requirements can create adverse incentives. This can lead to more risky banks when information frictions are present.
How should supervisory risk
assessments, such as stress tests, inform bank regulation when such
assessments provide imprecise signals? What trade-offs do regulators
face when redesigning assessments to improve accuracy? Does the
disclosure of assessment results improve the effectiveness of capital
requirements? We develop a theoretical framework to investigate these
questions. A key element of our framework is the impact of assessment
accuracy on the future behaviour of banks. This, in turn, is crucial for
the design of risk assessments and for subsequent decision-making about
capital requirements.
Contribution
This paper strives to fill an apparent gap in the literature. Despite
empirical evidence of noisy risk assessments, there is a lack of
studies on what this noise implies for the effectiveness of capital
requirements. We examine how capital regulation based on potentially
inaccurate assessments affects banks' incentives to improve their risk
profile, and derive the attendant optimal regulation. Our framework is
robust and tractable. This also allows us to study trade-offs faced by
regulators when making assessments more accurate and in disclosing
results to investors. Moreover, we examine trade-offs involved in
choosing optimal capital requirements when bank failure is socially
costly.
Findings
Contrary to conventional wisdom, we show that higher capital
requirements can create adverse incentives. This can lead to more risky
banks when information frictions are present. As such, capital
requirements must be less sensitive to assessment results when accuracy
is lower. Where the regulator can enhance some aspects of accuracy only
by worsening others, it may be optimal to impose lower capital
requirements. We find that while disclosure of assessment outcomes can
improve market discipline in general, when assessments are less accurate
they can amplify risk-taking by banks. This further limits the
effectiveness of capital requirements based on assessments. Regulatory
trade-offs are aggravated when bank failures are more costly.
Abstract
Supervisory risk assessment tools, such as stress-tests, provide
complementary information about bank-specific risk exposures. Recent
empirical evidence, however, underscores the potential inaccuracies
inherent in such assessments. We develop a model to investigate the
regulatory implications of these inaccuracies. In the absence of such
tools, the regulator sets the same requirement across banks. Risk
assessment tools provide a noisy signal about banks' types, and enable
bank specific capital surcharges, which can improve welfare. Yet, a
noisy assessment can distort banks' ex ante incentives and lead to
riskier banks. The optimal surcharge is zero when assessment accuracy is
below a certain threshold, and increases with accuracy otherwise.
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