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...

CDS spreads are often used as market's view of credit risk. There is no popular alternative to it; perhaps only the distance-to-default measure based on Merton (1974) comes close to it. In this paper we investigate the relationship between these two measures for large European banks in post...

We investigate financial intermediaries’ interest rate risk management as the simultaneous decision of on-balance-sheet exposure and interest rate swap use. Our findings show that both decisions are substitute risk management strategies. A higher likelihood of bank distress makes banks reduce...

Public disability insurance (DI) programs in many countries face pressure to reduce their generosity in order to remain sustainable. In this paper, we investigate the welfare effects of giving a larger role to private insurance markets in the face of public DI cuts. Exploiting a unique reform...