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dc.contributor.authorAng, M.
dc.contributor.authorSun, Jie
dc.contributor.authorYao, Q.
dc.date.accessioned2017-04-28T13:59:49Z
dc.date.available2017-04-28T13:59:49Z
dc.date.created2017-04-28T09:06:07Z
dc.date.issued2017
dc.identifier.citationAng, M. and Sun, J. and Yao, Q. 2017. On the dual representation of coherent risk measures. Annals of Operations Research. 262 (1): pp. 29-46.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/52748
dc.identifier.doi10.1007/s10479-017-2441-3
dc.description.abstract

A classical result in risk measure theory states that every coherent risk measure has a dual representation as the supremum of certain expected value over a risk envelope. We study this topic in more detail. The related issues include: (1) Set operations of risk envelopes and how they change the risk measures, (2) The structure of risk envelopes of popular risk measures, (3) Aversity of risk measures and its impact to risk envelopes, and (4) A connection between risk measures in stochastic optimization and uncertainty sets in robust optimization.

dc.publisherSpringer New York LLC
dc.relation.sponsoredbyhttp://purl.org/au-research/grants/arc/DP160102819
dc.titleOn the dual representation of coherent risk measures
dc.typeJournal Article
dcterms.source.startPage29
dcterms.source.endPage46
dcterms.source.issn0254-5330
dcterms.source.titleAnnals of Operations Research
curtin.note

The final publication is available at Springer via 10.1007/s10479-017-2441-3

curtin.departmentDepartment of Mathematics and Statistics
curtin.accessStatusOpen access


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