Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/85213 
Year of Publication: 
2000
Series/Report no.: 
CoFE Discussion Paper No. 00/28
Publisher: 
University of Konstanz, Center of Finance and Econometrics (CoFE), Konstanz
Abstract (Translated): 
This paper describes simple econometric methods for the analysis of credit risk and applies them to a data set obtained from credit files taken from six large German universal banks. The paper focuses on (i) binary and ordered probit/logit models which enable the credit analyst to quantify the default probability of an individual credit, and (ii) on duration models capable of estimating the default probability of a credit at a certain point in time given that there was no default until then. Empirical examples for the methods facilitate the understanding of the econometric models described in the paper. Numerous suggestions for further reading complete this short walk down the econometric quantification of credit risk.
Persistent Identifier of the first edition: 
Document Type: 
Working Paper

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