A semi-analytical method for VaR and credit exposure analysis

A semi-analytical method for VaR and credit exposure analysis

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Article ID: iaor20073447
Country: Netherlands
Volume: 152
Issue: 1
Start Page Number: 23
End Page Number: 47
Publication Date: Jul 2007
Journal: Annals of Operations Research
Authors: , , ,
Keywords: credit risk
Abstract:

In this paper, we discuss new analytical methods for computing Value-at-Risk (VaR) and a credit exposure profile. Using a Monte Carlo simulation approach as a benchmark, we find that the analytical methods are more accurate than RiskMetrics delta VaR, and are more efficient than Monte Carlo, for the case of fixed income securities. However the accuracy of the method deteriorates when applied to a portfolio of barrier options.

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