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...

This paper assesses the sensitivity of solvency stress testing results to the choice of credit risk variable and level of data aggregation at which the stress test is conducted. In practice, both choices are often determined by technical considerations, such as data availability. Using data for...

The internal ratings-based (IRB) approach maps bank risk profiles more adequately than the standardized approach. After switching to IRB, banks' risk-weighted asset (RWA) densities are thus expected to diverge, especially across countries with different supervisory strictness and risk levels....

Introduction to Credit Risk and Capital Management Frameworks -- Credit Data and Processing -- Credit Modeling Techniques -- Allowance for Credit Loss and CECL -- Capital Management and Risk Weighted Asset -- Stress Test and CCAR -- Underwriting and Credit Scoring.

This paper develops a Dynamic Stochastic General Equilibrium (DSGE) model to study how the instability of the banking sector can amplify and propagate business cycles. The model builds on Bernanke, Gertler and Gilchrist (BGG) (1999), who consider credit demand friction due to agency cost, but it...