Forecasting Credit Portfolio Risk

Alfred Hamerle, Thilo Liebig () and Harald Scheule

No 2004,01, Discussion Paper Series 2: Banking and Financial Studies from Deutsche Bundesbank, Research Centre

Abstract: The main challenge of forecasting credit default risk in loan portfolios is forecasting the default probabilities and the default correlations. We derive a Merton-style threshold-value model for the default probability which treats the asset value of a firm as unknown and uses a factor model instead. In addition, we demonstrate how default correlations can be easily modeled. The empirical analysis is based on a large data set of German firms provided by Deutsche Bundesbank. We find that the inclusion of variables which are correlated with the business cycle improves the forecasts of default probabilities. Asset and default correlations depend on the factors used to model default probabilities. The better the point-in-time calibration of the estimated default probabilities, the smaller the estimated correlations. Thus, correlations and default probabilities should always be estimated simultaneously.

Keywords: asset correlation; bank regulation; Basel II; credit risk; default correlation; default probability; logit model; probit model (search for similar items in EconPapers)
JEL-codes: C23 C41 G21 (search for similar items in EconPapers)
Date: 2004
View list of references View citations in EconPapers

Downloads: (external link)
http://opus.zbw-kiel.de/volltexte/2004/2227/pdf/200401dkp_b.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Access Statistics for this paper

More papers in Discussion Paper Series 2: Banking and Financial Studies from Deutsche Bundesbank, Research Centre
Contact information at EDIRC.
Series data maintained by ZBW - German National Library for Economics ().