Accurate risk assessment is crucial for predicting potential financial losses. This paper introduces an innovative approach by employing expected risk models that utilize risk samples to capture comprehensive risk characteristics. The innovation lies in the integration of classical credibility...

We develop a new identification strategy to evaluate the impact of the geographic expansion of bank holding company (BHC) assets across U.S. metropolitan statistical areas (MSAs) on BHC risk. We find that the geographic expansion of bank assets reduces risk. Moreover, geographic expansion...

A number of countries' authorities put in place bank rescue packages using public funds in response to the global financial crisis. Were these public recapitalizations followed by a reduction of risk in banks' loan books? To answer this question, in this paper the balance sheets and syndicated...

I develop an algorithm to approximate the loss rate distribution for fixed income portfolios with obligor concentrations. The approximation requires no advanced mathematics or statistics, only the summation of large exposures and the evaluation of binomial probabilities. The approximation is...