Extension of Spot Recovery Model for Gaussian Copula
Heightened systematic risk in the credit crisis has created challenges to CDO pricing and risk management. One important focus has been on the modeling of stochastic recovery. Different approaches within the Gaussian Copula framework have been proposed, but a consistent model was lacking until the recent paper of Bennani and Maetz  which shifted the modeling from period recovery to spot recovery. In this paper, we generalize their model to an arbitrary spot recovery distribution setup and extend the deterministic dependency on systematic factor to a random one. Besides, an extra parameter is introduced to control the correlation between default and recovery rate and the correlation between the recovery rates.
|Date of creation:||17 Oct 2009|
|Contact details of provider:|| Postal: Ludwigstraße 33, D-80539 Munich, Germany|
Web page: https://mpra.ub.uni-muenchen.de
More information through EDIRC
References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Li, Hui, 2009. "On Models of Stochastic Recovery for Base Correlation," MPRA Paper 15750, University Library of Munich, Germany.
When requesting a correction, please mention this item's handle: RePEc:pra:mprapa:17944. 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: (Joachim Winter)
If references are entirely missing, you can add them using this form.