EconPapers    
Economics at your fingertips  
 

Gaussian and Poisson approximation: applications to CDOs tranche pricing

Nicole El Karoui, Ying Jiao and David Kurtz

Journal of Computational Finance

Abstract: ABSTRACT This paper describes a new numerical method, based on Stein’s method and zero bias transformation, of computing collateralized debt obligation (CDO) tranche prices. We propose first-order correction terms for both Gaussian and Poisson approximations, and the approximation errors are discussed. We then combine the two approximations to price CDO tranches in the conditionally independent framework, using a realistic local correlation structure. Numerical tests show that the method provides robust results, with a very low computational burden.

References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.risk.net/journal-of-computational-fina ... cdos-tranche-pricing (text/html)

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:rsk:journ0:2160372

Access Statistics for this article

More articles in Journal of Computational Finance from Journal of Computational Finance
Bibliographic data for series maintained by Thomas Paine ().

 
Page updated 2025-03-19
Handle: RePEc:rsk:journ0:2160372