Dynamic Multi-Factor Credit Risk Model with Fat-Tailed Factors
Petr Gapko () and
Martin Smid ()
Additional contact information
Martin Smid: Institute of Information Theory and Automation, Academy of Sciences of the Czech Republic, http://www.utia.cas.cz/
Czech Journal of Economics and Finance (Finance a uver), 2012, vol. 62, issue 2, 125-140
Abstract:
The authors introduce an improved multi-factor credit risk model describing simultaneously the default rate and the loss given default. Their methodology is based on the KMV model, which they generalize in three ways. First, they add a model for loss given default (LGD), second, they bring dynamics to the model, and third, they allow non-normal distributions of risk factors. Both the defaults and the LGD are driven by a common factor and an individual factor; the individual factors are mutually independent, but the authors allow any form of dependence of the common factors. They test their model on a nationwide portfolio of US mortgage delinquencies, modeling the dependence of the common factor by a VECM model, and compare their results with the current regulatory framework, which is described in the Basel II Accord.
Keywords: credit risk; probability of default; loss given default; credit loss; credit loss distribution; Basel II (search for similar items in EconPapers)
JEL-codes: C58 G21 (search for similar items in EconPapers)
Date: 2012
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
http://journal.fsv.cuni.cz/storage/1243_gapko.pdf (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:fau:fauart:v:62:y:2012:i:2:p:125-140
Access Statistics for this article
More articles in Czech Journal of Economics and Finance (Finance a uver) from Charles University Prague, Faculty of Social Sciences Contact information at EDIRC.
Bibliographic data for series maintained by Natalie Svarcova ().