EconPapers    
Economics at your fingertips  
 

Valuation and VaR Computation for CDOs Using Stein’s Method

Nicole El Karoui, Ying Jiao and David Kurtz
Additional contact information
Nicole El Karoui: CMAP Ecole Polytechnique
Ying Jiao: MIF ESILV and CMAP Ecole Polytechnique
David Kurtz: BlueCrest Capital Management Limited

Chapter 8 in Applied Quantitative Finance, 2009, pp 161-189 from Springer

Abstract: Collateralized debt obligations (CDOs) are an innovation in the structured finance market that allow investors to invest in a diversified portfolio of assets at different risk attachment points to the portfolio. The basic concept behind a CDO is the redistribution of risk: some securities backed by a pool of assets in a CDO will be higher rated than the average rating of the portfolio and some will be lower rated. Generally, CDOs take two forms, cash flow or synthetic. For a cash flow vehicle, investor capital is used directly to purchase the portfolio collateral and the cash generated by the portfolio is used to pay the investors in the CDO. Synthetic CDOs are usually transactions that involve an exchange of cash flow through a credit default swap or a total rate of return swap. The CDO basically sells credit protection on a reference portfolio and receives all cash generated on the portfolio. In these types of transaction, the full capital structure is exchanged and there is no correlation risk for the CDO issuer. In this study, we are primarily interested in valuing (synthetic) single tranche CDO. It is very important to note that these products are exposed to correlation risk. In practice the CDO issuer sells protection on a portion of the capital structure on a reference portfolio of names. In exchange, he receives a running spread, usually paid quarterly, which value depends on the risk of the individual issuers in the reference portfolio and on a correlation hypothesis between those names. For liquid reference portfolios (indices) like Trac-X and iBoxx there exists now a liquid market for these single tranche CDOs and as a consequence for the correlation.

Keywords: Credit Default Swap; Default Probability; Absolute Average Error; Poisson Approximation; Default Time (search for similar items in EconPapers)
Date: 2009
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

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:spr:sprchp:978-3-540-69179-2_8

Ordering information: This item can be ordered from
http://www.springer.com/9783540691792

DOI: 10.1007/978-3-540-69179-2_8

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2026-05-29
Handle: RePEc:spr:sprchp:978-3-540-69179-2_8