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2015-09-16Buch DOI: 10.18452/8450
Risk measures for vector-valued returns
dc.contributor.authorPichler, Alois
dc.contributor.editorHigle, Julie L.
dc.contributor.editorRömisch, Werner
dc.contributor.editorSen, Surrajeet
dc.date.accessioned2017-06-16T20:34:18Z
dc.date.available2017-06-16T20:34:18Z
dc.date.created2015-09-16
dc.date.issued2015-09-16
dc.date.submitted2015-06-23
dc.identifier.urihttp://edoc.hu-berlin.de/18452/9102
dc.description.abstractPortfolios, which are exposed to different currencies, have separate and different returns ineach individual currency and are thus vector-valued in a natural way.This paper investigates the natural domain of these risk measures. A Banach space is presented,for which the risk measure is continuous, and which reflects the vector-valued outcomesof the corresponding risk measures from mathematical finance. We develop its key properties and describe the corresponding duality theory. We finally outline extensions of this space, which are along classical Lp spaces.eng
dc.language.isoeng
dc.publisherHumboldt-Universität zu Berlin, Mathematisch-Naturwissenschaftliche Fakultät II, Institut für Mathematik
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/
dc.subjectstochastic dominanceeng
dc.subjectrisk measureseng
dc.subjectdual representationeng
dc.subjectrearrangement inequalitieseng
dc.subject.ddc510 Mathematik
dc.titleRisk measures for vector-valued returns
dc.typebook
dc.identifier.urnurn:nbn:de:kobv:11-100232136
dc.identifier.doihttp://dx.doi.org/10.18452/8450
local.edoc.pages24
local.edoc.type-nameBuch
local.edoc.container-typeseries
local.edoc.container-type-nameSchriftenreihe
dc.identifier.zdb2936317-2
bua.series.nameStochastic Programming E-Print Series
bua.series.issuenumber2015,6

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