Strategic Selection of Risk Models and Bank Capital Regulation

The regulatory use of banks’ internal models makes capital requirements more risk sensitive but invites regulatory arbitrage. I develop a framework to study bank regulation with strategic selection of risk models. A bank supervisor can discourage arbitrage by auditing risk models and implements capital ratios less risk sensitive than in the first-best to reduce auditing costs. The optimal capital ratios of a national supervisor can be different from those set by supranational authorities, in which case the supervisor optimally tolerates biased models. I discuss the empirical implications of this “hidden model” problem, and policy answers such as leverage ratios and more reliance on backtesting mechanisms.

The online appendix is available at https://doi.org/10.1287/mnsc.2017.2898.

This paper was accepted by Amit Seru, finance.