The transformation of credit scores into probabilities of default plays an important role in credit risk estimation. The linear logistic regression has developed into a standard calibration approach in the banking sector. With the advent of machine learning techniques in the discriminatory phase...

The transformation of credit scores into probabilities of default plays an important role in credit risk estimation. The linear logistic regression has developed into a standard calibration approach in the banking sector. With the advent of machine learning techniques in the discriminatory phase...

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...

When firms trade forward contracts with banks to protect foreign currency cash flows against exchange rate movements, foreign exchange risk migrates to the banking sector. We show how this migrated risk may induce systemic repercussions with severe implications for the real economy. For...

When firms trade forward contracts with banks to protect foreign currency cash flows against exchange rate movements, foreign exchange risk migrates to the banking sector. We show how this migrated risk may induce systemic repercussions with severe implications for the real economy. For...

The economic policy response to COVID-19 lockdowns included a variety of measures. Their effects on non-financial firms, however, remain unclear. To shed light on the effect of transfers, we investigate the effect of German emergency aid transfers (November-December aid), a program designed for...

The economic policy response to COVID-19 lockdowns included a variety of measures. Their effects on non-financial firms, however, remain unclear. To shed light on the effect of transfers, we investigate the effect of German emergency aid transfers (November-December aid), a program designed for...

This paper presents a framework for estimating losses in the residential real estate mortgage portfolios of German banks. We develop an EL model where LGD estimates are based on current collateral values and PD dynamics are estimated using a structural PVAR approach. We confirm empirically that...

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...

In this paper we introduce two measures, the Systemic Liquidity Buffer (SLB) and the Systemic Liquidity Shortfall (SLS) to assess liquidity in the banking system. The SLB takes an aggregated perspective on liquidity risks in the banking system. In contrast, the SLS focusses on the problematic...