This file is part of IDEAS, which uses RePEc data


[ Papers | Articles | Software | Books | Chapters | Authors | Institutions | JEL Classification | NEP reports | Search | New papers by email | Author registration | Rankings | Volunteers | FAQ | Blog | Help! ]

Pricing of CDS Options with the HJM approach: a Numerical Implementation

Author info | Abstract | Publisher info | Download info | Related research | Statistics
Author Info
Viviana Fanelli ()
Silvana Musti ()
Abstract

This paper provides CDS option pricing in a probability setting equipped with a subfiltration structure. The evolution of the defaultable term structure is modelled using the approach developed in Heath et al. (1992) when the spot rate and the forward rate affect the volatility term. The Euler-Maruyama stochastic integral approximation and the Monte Carlo method are applied to develop a numerical algorithm for pricing. Finally, the Antithetic Variables technique is used to reduce the variance of estimations.

Download Info
To download:

If you experience problems downloading a file, check if you have the proper application to view it first. Information about this may be contained in the File-Format links below. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: http://www.dsems.unifg.it/q262007.pdf
File Format: application/pdf
File Function:
Download Restriction: no

Publisher Info
Paper provided by Dipartimento di Scienze Economiche, Matematiche e Statistiche, Universita' di Foggia in its series Quaderni DSEMS with number 26-2007.

Download reference. The following formats are available: HTML (with abstract), plain text (with abstract), BibTeX, RIS (EndNote, RefMan, ProCite), ReDIF
Length: 15 pages
Date of creation: Dec 2007
Date of revision:
Handle: RePEc:ufg:qdsems:26-2007

Contact details of provider:
Postal: Largo Papa Giovanni Paolo II, 1 -71100- Foggia (I)
Phone: +390881753730
Fax: +390881775616
Web page: http://www.dsems.unifg.it
More information through EDIRC

For technical questions regarding this item, or to correct its listing, contact: (Luca Grilli).

Related research
Keywords: HJM model; Cox process; Monte Carlo method; CDS option;

Find related papers by JEL classification:
C63 - Mathematical and Quantitative Methods - - Mathematical Methods and Programming - - - Computational Techniques
G13 - Financial Economics - - General Financial Markets - - - Contingent Pricing; Futures Pricing
G33 - Financial Economics - - Corporate Finance and Governance - - - Bankruptcy; Liquidation

This paper has been announced in the following NEP Reports:

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
  1. Chiarella, Carl & Clewlow, Les & Musti, Silvana, 2005. "A volatility decomposition control variate technique for Monte Carlo simulations of Heath Jarrow Morton models," European Journal of Operational Research, Elsevier, vol. 161(2), pages 325-336, March. [Downloadable!] (restricted)
  2. Heath, David & Jarrow, Robert & Morton, Andrew, 1992. "Bond Pricing and the Term Structure of Interest Rates: A New Methodology for Contingent Claims Valuation," Econometrica, Econometric Society, vol. 60(1), pages 77-105, January. [Downloadable!] (restricted)
  3. Cox, John C & Ingersoll, Jonathan E, Jr & Ross, Stephen A, 1985. "A Theory of the Term Structure of Interest Rates," Econometrica, Econometric Society, vol. 53(2), pages 385-407, March. [Downloadable!] (restricted)
  4. Jarrow, Robert A & Lando, David & Turnbull, Stuart M, 1997. "A Markov Model for the Term Structure of Credit Risk Spreads," Review of Financial Studies, Oxford University Press for Society for Financial Studies, vol. 10(2), pages 481-523.
  5. Jarrow, Robert A & Turnbull, Stuart M, 1995. " Pricing Derivatives on Financial Securities Subject to Credit Risk," Journal of Finance, American Finance Association, vol. 50(1), pages 53-85, March. [Downloadable!] (restricted)
Full references

Statistics
Access and download statistics

Did you know? You can use convenient plug-ins to search directly IDEAS from your browser.

This page was last updated on 2009-12-12.

This information is provided to you by IDEAS at the Department of Economics, College of Liberal Arts and Sciences, University of Connecticut using RePEc data on a server sponsored by the Society for Economic Dynamics.