Multivariate quantiles and superquantiles
Abstract
We introduce center-outward superquantile and expected shortfall functions, to characterize multivariate tail probabilities and central areas of point clouds. These notions build up on a multivariate quantile function based on measure transportation ideas. They characterize the underlying distributions and their weak convergence, which underlines their importance. Finally, these definitions will be applied to risk analysis, with multivariate definitions of Value-at-Risk and Conditional-Value-at-Risk.