This paper provides an empirical study, which assesses the historical performance of credit rating agency (CRA) ratings for securitizations before and during the financial crisis. The paper finds that CRAs do not sufficiently address the systematic risk of the underlying collateral pools as well...

This paper shows that the revised loan loss provisioning based on the International Financial Reporting Standards (IFRS) and the US Generally Accepted Accounting Principles (GAAP) implies a reduction of Tier 1 capital. The paper finds in a counterfactual analysis that these changes are more...

This study analyses the level of systematic risk for US mortgage portfolio securitisationsbased on the variation of default rates which cannot be explained by observeddeterministic factors. Systematic risk is decomposed into general systemic risk, ratingclass-specific systematic risk and their...

Using a unique data base of Global Credit Data with individual loan information from small and medium sized entities in Germany, Great Britain and the United States, we evaluate the time to resolution of defaulted loans. A comparison across countries reveals country specific drivers for the...

This paper explores whether factor based credit portfolio risk models are able to predict losses in severe economic downturns such as the recent Global Financial Crisis (GFC) within standard confidence levels. The paper analyzes (i) the accuracy of default rate forecasts, and (ii) whether...

This paper analyzes the sensitivity to systematic credit risk and pricing in fixed income instruments and compares corporate bonds and asset securitizations. The paper finds cross-sectional variation of systematic credit risk given the same credit rating and a market premium for the systematic...

Literature on Losses Given Default (LGD) usually focuses on mean predictions, even though losses are extremely skewed and bimodal. This paper proposes a Quantile Regression (QR) approach to get a comprehensive view on the entire probability distribution of losses. The method allows new insights...

This paper introduces a simple, nonparametric way of inferring risk-neutral credit stress event intensities for idiosyncratic, sectoral, and global shocks contained in market credit spreads. We provide an econometric analysis of the implied latent stress event dynamics. A vector autoregressive...

This paper analyzes the level and cyclicality of regulatory bank capital for asset portfolio securitizations in relation to the cyclicality of capital requirements for the underlying loan portfolio as under Basel II/III. We find that the cyclicality of capital requirements is higher for (i)...

Correlations are the main drivers for credit portfolio risk and constitute a Major element in pricing credit derivatives such as synthetic single-tranche collateralized debt obligation swaps. This paper suggests a dynamic panel regression Approach to model and forecast implied correlations....