Enemies or Allies: Pricing counterparty credit risk for synthetic CDO tranches

Y. Lee and Leh-chyan So ()

MPRA Paper from University Library of Munich, Germany

Abstract: This research aims to construct a model for pricing counterparty credit risk (CCR) for synthetic collateralized debt obligation (CDO) tranches by considering the relationship between the counterparty and the credit port- folio. A stochastic intensity model is adopted to describe the default event of the counterparty, and a two-factor Gaussian copula model is applied to account for the relationship between the counterparty and underlying credit portfolio. By analyzing the data of CDX NA IG index tranches, we �nd that the relationship has a signi�cant in uence on the credit value adjust- ment (CVA) for index tranches and, hence, that it should not be ignored when a contract is initiated. In addition, we discover that the in uence has opposite e�ects and asymmetrical magnitude with respect to the protection buyers and protection sellers.

Keywords: counterparty credit risk; synthetic CDO tranches; CDX NA IG index tranches; Gaussian copula model; credit value adjustment (search for similar items in EconPapers)
JEL-codes: G12 G13 (search for similar items in EconPapers)
Date: 2013
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://mpra.ub.uni-muenchen.de/52371/1/MPRA_paper_52371.pdf original version (application/pdf)

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:pra:mprapa:52371

Access Statistics for this paper

More papers in MPRA Paper from University Library of Munich, Germany Ludwigstraße 33, D-80539 Munich, Germany. Contact information at EDIRC.
Bibliographic data for series maintained by Joachim Winter ().