EconPapers    
Economics at your fingertips  
 

Using distortions of copulas to price synthetic CDOs

Glenis Crane and John van der Hoek

Insurance: Mathematics and Economics, 2008, vol. 42, issue 3, 903-908

Abstract: This paper demonstrates how to use distorted Gaussian copula functions to produce a heavy tailed portfolio loss distribution in the context of synthetic Collateralized Debt Obligations (CDOs). Distortion functions have not previously been used in this area. Hence, we demonstrate that it is possible to simulate realistic tranche prices by incorporating distorted copula functions within a well established CDO pricing system, such as that of JP Morgan. Furthermore, we only require a single dependence parameter for the entire portfolio rather than one per tranche. Thus, we are providing practitioners with a simpler and more flexible alternative to current CDO pricing methods.

Date: 2008
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0167-6687(07)00126-6
Full text for ScienceDirect subscribers only

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:eee:insuma:v:42:y:2008:i:3:p:903-908

Access Statistics for this article

Insurance: Mathematics and Economics is currently edited by R. Kaas, Hansjoerg Albrecher, M. J. Goovaerts and E. S. W. Shiu

More articles in Insurance: Mathematics and Economics from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-03-19
Handle: RePEc:eee:insuma:v:42:y:2008:i:3:p:903-908