EconPapers    
Economics at your fingertips  
 

Measuring marginal risk contributions in credit portfolios

Thomas Siller

Quantitative Finance, 2013, vol. 13, issue 12, 1915-1923

Abstract: The Fourier Transform Monte Carlo (FTMC) method, a powerful algorithm for robust computation of marginal risk contributions and capital allocations for credit portfolios in the framework of mixture models, is presented. The method outperforms results obtained from simple Monte Carlo simulations which are flawed by high variances if expected values conditional on rare events are calculated. The FTMC method exploits the conditional independence property of the underlying latent variable model and, in addition, makes use of the Fast Fourier Transform technique for risk aggregation. Marginal risk contributions for expected shortfall, value at risk and capital at risk are presented for a synthetic but realistic credit portfolio.

Date: 2013
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (9)

Downloads: (external link)
http://hdl.handle.net/10.1080/14697688.2012.742203 (text/html)
Access to full text is restricted to subscribers.

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:taf:quantf:v:13:y:2013:i:12:p:1915-1923

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/RQUF20

DOI: 10.1080/14697688.2012.742203

Access Statistics for this article

Quantitative Finance is currently edited by Michael Dempster and Jim Gatheral

More articles in Quantitative Finance from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().

 
Page updated 2025-03-20
Handle: RePEc:taf:quantf:v:13:y:2013:i:12:p:1915-1923