Large deviations built on max-stability

dc.contributor.authorKupper, Michael
dc.contributor.authorZapata, José Miguel
dc.date.accessioned2021-04-22T08:16:52Z
dc.date.available2021-04-22T08:16:52Z
dc.date.issued2021eng
dc.description.abstractIn this paper, we show that the basic results in large deviations theory hold for general monetary risk measures, which satisfy the crucial property of max-stability. A max-stable monetary risk measure fulfills a lattice homomorphism property, and satisfies under a suitable tightness condition the Laplace Principle (LP), that is, admits a dual representation with affine convex conjugate. By replacing asymptotic concentration of probability by concentration of risk, we formulate a Large Deviation Principle (LDP) for max-stable monetary risk measures, and show its equivalence to the LP. In particular, the special case of the asymptotic entropic risk measure corresponds to the classical Varadhan–Bryc equivalence between the LDP and LP. The main results are illustrated by the asymptotic shortfall risk measure.eng
dc.description.versionpublishedde
dc.identifier.doi10.3150/20-BEJ1263eng
dc.identifier.urihttps://kops.uni-konstanz.de/handle/123456789/53435
dc.language.isoengeng
dc.subject.ddc510eng
dc.titleLarge deviations built on max-stabilityeng
dc.typeJOURNAL_ARTICLEde
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@article{Kupper2021Large-53435,
  title={Large deviations built on max-stability},
  year={2021},
  doi={10.3150/20-BEJ1263},
  number={2},
  volume={27},
  issn={1350-7265},
  journal={Bernoulli},
  pages={1001--1027},
  author={Kupper, Michael and Zapata, José Miguel}
}
kops.citation.iso690KUPPER, Michael, José Miguel ZAPATA, 2021. Large deviations built on max-stability. In: Bernoulli. International Statistical Institute. 2021, 27(2), S. 1001-1027. ISSN 1350-7265. Verfügbar unter: doi: 10.3150/20-BEJ1263deu
kops.citation.iso690KUPPER, Michael, José Miguel ZAPATA, 2021. Large deviations built on max-stability. In: Bernoulli. International Statistical Institute. 2021, 27(2), pp. 1001-1027. ISSN 1350-7265. Available under: doi: 10.3150/20-BEJ1263eng
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kops.sourcefieldBernoulli. International Statistical Institute. 2021, <b>27</b>(2), S. 1001-1027. ISSN 1350-7265. Verfügbar unter: doi: 10.3150/20-BEJ1263deu
kops.sourcefield.plainBernoulli. International Statistical Institute. 2021, 27(2), S. 1001-1027. ISSN 1350-7265. Verfügbar unter: doi: 10.3150/20-BEJ1263deu
kops.sourcefield.plainBernoulli. International Statistical Institute. 2021, 27(2), pp. 1001-1027. ISSN 1350-7265. Available under: doi: 10.3150/20-BEJ1263eng
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source.periodicalTitleBernoullieng
source.publisherInternational Statistical Instituteeng

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