Affine Model for Credit Risk Analysis
AbstractContinuous-time affine models have been recently introduced in the theoretical financial literature on credit risk. They provide a coherent modeling, rather easy to implement, but have not yet encountered the expected success among practitioners and regulators. This is likely due to a lack of flexibility of these models, which often implied poor fit, especially compared to more ad hoc approaches proposed by the industry. The aim of this article is to explain that this lack of flexibility is mainly due to the continuous-time assumption. We develop a discrete-time affine analysis of credit risk, explain how different types of factors can be introduced to capture separately the term structure of default correlation, default heterogeneity, correlation between default, and loss-given-default; we also explain why the factor dynamics are less constrained in discrete time and are able to reproduce complicated cycle effects. These models are finally used to derive a credit-VaR and various decompositions of the spreads for corporate bonds or first-to-default basket. Copyright 2006, Oxford University Press.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoPaper provided by Centre de Recherche en Economie et Statistique in its series Working Papers with number 2005-44.
Date of creation: 2005
Date of revision:
Other versions of this item:
You can help add them by filling out this form.
CitEc Project, subscribe to its RSS feed for this item.
This item has more than 25 citations. To prevent cluttering this page, these citations are listed on a separate page. reading list or among the top items on IDEAS.Access and download statisticsgeneral 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: (Florian Sallaberry).
If references are entirely missing, you can add them using this form.