Intro -- Contents -- I. INTRODUCTION -- II. DESCRIPTION OF THE INDICATOR -- III. MODEL DESCRIPTION -- IV. DATA DESCRIPTION -- V. FACTOR ANALYSIS: ESTIMATION RESULTS -- VI. COMPUTATION OF THE PROBABILITIES OF DEFAULT -- VII. SENSITIVITY ANALYSIS -- VIII. STRESS TESTING -- IX. CONCLUDING REMARKS...

This paper generalizes a market-based indicator for financial sector surveillance using a multifactor latent structure in the determination of the default probabilities of an nth-todefault credit default swap (CDS) basket of large complex financial institutions (LCFIs). To estimate the...

This paper generalizes a market-based indicator for financial sector surveillance using a multifactor latent structure in the determination of the default probabilities of an nth-todefault credit default swap (CDS) basket of large complex financial institutions (LCFIs). To estimate the...

Using Federal Reserve (Fed) confidential stress test data, we exploit the gap between the Fed and bank capital projections as an exogenous shock to banks and analyze how this shock is transmitted to consumer credit markets. First, we document that banks in the 90th percentile of the capital gap...

We measure the effect of an anti-predatory pilot program (Chicago, 2006) on mortgage default rates to test whether predatory lending was a key element in fueling the subprime crisis. Under the program, risky borrowers and/or risky mortgage contracts triggered review sessions by housing...

We estimate a Pareto distribution for loan losses, as an alternative to the commonly used Vasicek distribution, using simulated data. A key assumption in the construction of Vasicek distribution is that firm-level risk is idiosyncratic. It also assumes that firm exposure to systemic risk is...