Probabilities of default (PDs) of loans are of central importance for financial stability. We analyze the PDs, reported quarterly by German financial institutions to Deutsche Bundesbank. The development of PDs is modelled as an AR process of PD changes and an initial PD. Panel regressions show...

This paper examines the issues of the aggregation and comparison of the credit ratings of various economic agents for risk management purposes in a commercial bank. The empirical results of the study make it possible to increase the assessment of credit risks based on the constructed system of...

We investigate the informational content of credit default swap (CDS) spreads for future volatility of (firm) assets and equity. In the cross-section, CDS spreads are significantly more informative about future asset than equity volatility. The informational content of historical and option...

The aim of this study is to analyze the impact of credit risk mitigation via margining on the optimal portfolio selection for power plants. We develop a model to estimate margining cashflows that is based on the clearing framework of the European Commodity Clearing AG (ECC), on stochastic...

In this article, we first construct the empirical measure of spread (EMS) to capture the dynamics of quoted CDS spreads. It is the measure of creditworthiness of a company derived from the asset model in Egami and Kevkhishvili [2017]. We then use the information provided by the EMS to derive a...

We examine how supply chain activity reflects into credit risk during different phases of the COVID-19 pandemic by focusing on CDS spreads and US-China supply chain links. We find considerable effects on credit risk propagation. CDS spreads for firms with China supply chain partners increase...

Default correlation is a key driver of credit risk. In the Basel regulatory framework it is measured by the asset value correlation parameter. Though past studies suggest that the parameter is over-calibrated for mortgages — generally the largest asset class on banks' balance sheets — they...

The problem of credit risk management at commercial banks is solved using the stochastic dominance criteria supplementing them with the voting theory elements. The developed stochastic dominance algorithm is based on an investment approach whose basic concept consists in management of both...

We use a compound option-based structural credit risk model to infer a term structure of banking crisis risk from market data on bank stocks in daily frequency. Considering debt service payments with different maturities this term structure assigns a separate estimator for short- and long-term...

Following the extra ordinary decision to bail in the unsecured depositors and restructure the two main banks and the near complete destruction of the country’s economic business model as an International Financial Centre, the author considers the changes necessary to rebuild the economy of...