Multivariate risks and depth-trimmed regions

dc.creatorCascos, Ignacio
dc.creatorMolchanov, Ilya
dc.date2006-06-21
dc.date2006-11-20
dc.date.accessioned2026-07-07T12:07:19Z
dc.date.available2026-07-07T12:07:19Z
dc.descriptionWe 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.
dc.description26 pages. Substantially revised version with a number of new results added
dc.identifierhttps://arxiv.org/abs/math/0606520
dc.identifierhttp://arxiv.org/abs/math/0606520
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/208929
dc.subjectProbability
dc.subjectStatistics Theory
dc.subjectRisk Management
dc.subject91B30; 91B82; 60D05; 62H99
dc.titleMultivariate risks and depth-trimmed regions
dc.typetext

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