Multivariate risks and depth-trimmed regions

Details Multivariate risks and depth-trimmed regions Multivariate risks and depth-trimmed regions

2006-06-21

arxiv.org/abs/math/0606520v2

Mathematics

Probability

26 pages. Substantially revised version with a number of new results added

Scientific paper

We describe a general framework for measuring risks, where the risk measure takes values in an abstract cone. It is shown that this approach naturally includes the classical risk measures and set-valued risk measures and yields a natural definition of vector-valued risk measures. Several main constructions of risk measures are described in this abstract axiomatic framework. It is shown that the concept of depth-trimmed (or central) regions from the multivariate statistics is closely related to the definition of risk measures. In particular, the halfspace trimming corresponds to the Value-at-Risk, while the zonoid trimming yields the expected shortfall. In the abstract framework, it is shown how to establish a both-ways correspondence between risk measures and depth-trimmed regions. It is also demonstrated how the lattice structure of the space of risk values influences this relationship.

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