We present a semi-structural model of default risk, which is a function of loan and borrower characteristics, economic conditions, and the regulatory environment. We use this model to simulate bank credit losses for stress-testing purposes and to calibrate borrower-based macroprudential tools....

In the aftermath of the global financial crisis, policymakers in the United States and elsewhere have adopted stress testing as a central tool for supervising large, complex, financial institutions and promoting financial stability. Although supervisory stress testing may confer substantial...

Stress testing has recently become a critical risk management and capital planning tool for large financial institutions and their supervisors around the world. However, the one prior U.S. experience tying stress test results to capital requirements was a spectacular failure: the Office of...

Following the crisis, macroprudential regulations targeting mortgage-market vulnerabilities were widely adopted, their success often depending on intermediaries' responses. We show that Canadian banks behaved strategically to limit the potency of recently implemented mortgage stress tests,...

The 2010s saw a profound shift towards jumbo mortgage lending by large banks that are regulated under the Dodd-Frank Act. Using data from the Home Mortgage Disclosure Act, we show that the “jumbo shift” is correlated with being subject to the Comprehensive Capital Analysis and Review (CCAR)...

This paper presents a framework for estimating losses in the residential real estate mortgage portfolios of German banks. We develop an EL model where LGD estimates are based on current collateral values and PD dynamics are estimated using a structural PVAR approach. We confirm empirically that...