Improvements in rating models for the German corporate sector
Group-specific estimations can significantly improve the predictive power of accountingbased rating models. This is shown using a binary logistic regression model applied to the Deutsche Bundesbank's USTAN dataset, which contains 300,000 financial statements provided by German companies for the years 1994 to 2002, i. e. throughout a complete business-cycle. The robustness and the representability of this result is verified through out-of-sample tests and through comparisons with a benchmark model which applies the variables of Moody's RiskCalcTM for Germany.
|Date of creation:||2011|
|Date of revision:|
|Contact details of provider:|| Postal: |
Phone: 0 69 / 95 66 - 34 55
Fax: 0 69 / 95 66 30 77
Web page: http://www.bundesbank.de/Email:
More information through EDIRC
When requesting a correction, please mention this item's handle: RePEc:zbw:bubdp2:201111. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (ZBW - German National Library of Economics)
If references are entirely missing, you can add them using this form.