We develop distress prediction models for non-financial small and medium sized enterprises (SMEs) using a dataset from eight European countries over the period 2000-2009. We examine idiosyncratic and systematic covariates and find that macro conditions and bankruptcy codes add predictive power...

We introduce a novel simulation-based network approach, which provides full-edged distributions of potential interbank losses. Based on those distributions we propose measures for (i) systemic importance of single banks, (ii) vulnerability of single banks, and (iii) vulnerability of the whole...

This paper studies the relationship between the riskiness of banks' assets and their average risk weight. Banks' initial risk weights explain about half of the variation in projected credit losses in the 2018 European Banking Authority stress test. In contrast to related papers, this paper also...