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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