Properties and calculation of multivariate risk measures: MVaR and MCVaR

Properties and calculation of multivariate risk measures: MVaR and MCVaR

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Article ID: iaor2014112
Volume: 211
Issue: 1
Start Page Number: 225
End Page Number: 254
Publication Date: Dec 2013
Journal: Annals of Operations Research
Authors: ,
Keywords: financial
Abstract:

A recent paper by Prékopa (Ann. Oper. Res. 193(1):49–69, 2012) presented results in connection with Multivariate Value‐at‐Risk (MVaR) that has been known for some time under the name of p‐quantile or pLevel Efficient Point (pLEP) and introduced a new multivariate risk measure, called Multivariate Conditional Value‐at‐Risk (MCVaR). The purpose of this paper is to further develop the theory and methodology of MVaR and MCVaR. This includes new methods to numerically calculate MCVaR, for both continuous and discrete distributions. Numerical examples with recent financial market data are presented.

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