Monte Carlo Methods for Portfolio Credit Risk

Tim J. Brereton, Dirk P. Kroese and Joshua Chan

ANU Working Papers in Economics and Econometrics from Australian National University, College of Business and Economics, School of Economics

Abstract: The financial crisis of 2007 – 2009 began with a major failure in credit markets. The causes of this failure stretch far beyond inadequate mathematical modeling (see Donnelly and Embrechts [2010] and Brigo et al. [2009] for detailed discussions from a mathematical finance perspective). Nevertheless, it is clear that some of the more popular models of credit risk were shown to be flawed. Many of these models were and are popular because they are mathematically tractable, allowing easy computation of various risk measures. More realistic (and complex) models come at a significant computational cost, often requiring Monte Carlo methods to estimate quantities of interest.

Pages: 33 Pages
Date: 2012-07
New Economics Papers: this item is included in nep-ban and nep-rmg
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

Downloads: (external link)
https://www.cbe.anu.edu.au/researchpapers/econ/wp579.pdf (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:acb:cbeeco:2012-579

Access Statistics for this paper

More papers in ANU Working Papers in Economics and Econometrics from Australian National University, College of Business and Economics, School of Economics Contact information at EDIRC.
Bibliographic data for series maintained by ().