Eine große Herausforderung der multivariablen Analyse mit bilanziellen Kennzahlen besteht in der Identifikation derjenigen Kennzahlen, die zur besten Modellperformance führen und dabei möglichst leicht interpretierbar und intuitiv bleiben. Die Menge der in Frage kommenden Kennzahlen ist in...

Cyclicality in the losses of bank loans is important for bank risk management. Because loans have a different risk profile than bonds, evidence of cyclicality in bond losses need not apply to loans. Based on unique data we show that the default rate and loss given default of bank loans share a...

In many countries, lenders are restricted in their access to information about borrowers' past defaults. The authors study this provision in a model of repeated borrowing and lending with moral hazard and adverse selection. They analyze its effects on borrowers' incentives and access to credit,...

Credit rating agencies have been heavily criticized both for providing overly optimistic ratings for structured finance products and the timeliness of their rating changes for financial institutions hit hard by the 2007 to 2009 crisis. While the role of rating agencies in the structured finance...

Credit risk is the main risk in the banking sector and is as such one of key issues for financial stability. We estimate various PD models and use them in the application to credit rating classification. Models include firm specific characteristics and macroeconomic or time effects. By linking...

We investigate whether and how business credit information sharing helps to better assess the default risk of private firms. Private firms represent an ideal testing ground because they are smaller, more informationally opaque, riskier, and more dependent on trade credit and bank loans than...