Central limit theorems for law-invariant coherent risk measures

dc.bibliographicCitation.seriesTitleWIAS Preprintseng
dc.bibliographicCitation.volume1551
dc.contributor.authorBelomestny, Denis
dc.contributor.authorKrätschmer, Volker
dc.date.accessioned2016-03-24T17:38:39Z
dc.date.available2019-06-28T08:05:49Z
dc.date.issued2010
dc.description.abstractIn this paper we study the asymptotic properties of the canonical plug-in estimates for law-invariant coherent risk measures. Under rather mild conditions not relying on the explicit representation of the risk measure under consideration, we first prove a central limit theorem for independent identically distributed data and then extend it to the case of weakly dependent ones. Finally, a number of illustrating examples is presented.eng
dc.description.versionpublishedVersioneng
dc.formatapplication/pdf
dc.identifier.issn0946-8633
dc.identifier.urihttps://doi.org/10.34657/2118
dc.identifier.urihttps://oa.tib.eu/renate/handle/123456789/2346
dc.language.isoengeng
dc.publisherBerlin : Weierstraß-Institut für Angewandte Analysis und Stochastikeng
dc.relation.issn0946-8633eng
dc.rights.licenseThis document may be downloaded, read, stored and printed for your own use within the limits of § 53 UrhG but it may not be distributed via the internet or passed on to external parties.eng
dc.rights.licenseDieses Dokument darf im Rahmen von § 53 UrhG zum eigenen Gebrauch kostenfrei heruntergeladen, gelesen, gespeichert und ausgedruckt, aber nicht im Internet bereitgestellt oder an Außenstehende weitergegeben werden.ger
dc.subject.ddc510eng
dc.subject.otherLaw-invariant coherent risk measureseng
dc.subject.othercanonical plug-in estimateseng
dc.subject.otherfunctional central limit theoremseng
dc.subject.otherweak dependenceeng
dc.titleCentral limit theorems for law-invariant coherent risk measureseng
dc.typeReporteng
dc.typeTexteng
tib.accessRightsopenAccesseng
wgl.contributorWIASeng
wgl.subjectMathematikeng
wgl.typeReport / Forschungsbericht / Arbeitspapiereng
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