Multivariate value at risk and related topics

Multivariate Value at Risk, or MVaR, is defined as the quantile set of a multivariate probability distribution. It has already been introduced and used in the literature under the name of p-Level Efficient Points, or pLEP’s, or briefly p-efficient points. Some of the topics connected with it are surveyed: discrete convexity, algorithmic generation, relation to logconcavity. A related notion: Multivariate Conditional Value at Risk, or MCVaR, is also introduced and some of its properties are explored. Finally, optimization problems, based on these notions, are presented and discussed, from the point of view of convexity and algorithmic solution.