An autoregressive conditional duration model of credit‐risk contagion
Sergio M. Focardi and
Frank J. Fabozzi
Journal of Risk Finance, 2005, vol. 6, issue 3, 208-225
Abstract:
Purpose - This paper seeks to discuss a modeling tool for explaining credit‐risk contagion in credit portfolios. Design/methodology/approach - Presents a “collective risk” model that models the credit risk of a portfolio, an approach typical of insurance mathematics. Findings - ACD models are self‐exciting point processes that offer a good representation of cascading phenomena due to bankruptcies. In other words, they model how a credit event might trigger other credit events. The model herein discussed is proposed as a robust global model of the aggregate loss of a credit portfolio; only a small number of parameters are required to estimate aggregate loss. Originality/value - Discusses a modeling tool for explaining credit‐risk contagion in credit portfolios.
Keywords: Credit; Financial risk (search for similar items in EconPapers)
Date: 2005
References: Add references at CitEc
Citations:
Downloads: (external link)
https://www.emerald.com/insight/content/doi/10.110 ... d&utm_campaign=repec (text/html)
https://www.emerald.com/insight/content/doi/10.110 ... d&utm_campaign=repec (application/pdf)
Access to full text is restricted to subscribers
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:eme:jrfpps:15265940510599829
DOI: 10.1108/15265940510599829
Access Statistics for this article
Journal of Risk Finance is currently edited by Nawazish Mirza
More articles in Journal of Risk Finance from Emerald Group Publishing Limited
Bibliographic data for series maintained by Emerald Support ().