2008
DOI: 10.1515/eqc.2008.243
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Bounds for Distorted Risk Measures

Abstract: The aim of this paper is to provide bounds for distorted risk measures when the joint distribution of the risk factors is unspecified but the marginal distributions are known. For convex distortion functions, a methodology to calculate the corresponding bounds is suggested and illustrated by several examples.

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Cited by 2 publications
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“…Other areas related to (quasi-)copulas are generalized integration theory [37,41,42], The support by the "Technologie-Transfer-Förderung" of the Upper Austrian Government (Wi-2014-200710/13-Kx/Kai) is gratefully acknowledged, as well as the support by the Slovak Grants APVV-14-0013, VEGA 1/0614/18 and VEGA 1/0891/17. B Erich Peter Klement ep.klement@jku.at Extended author information available on the last page of the article decision theory [77], finance [7,27], preference modeling [9,13], but also fuzzy logics and the theory of fuzzy sets [10,30,63].…”
Section: Introductionmentioning
confidence: 99%
“…Other areas related to (quasi-)copulas are generalized integration theory [37,41,42], The support by the "Technologie-Transfer-Förderung" of the Upper Austrian Government (Wi-2014-200710/13-Kx/Kai) is gratefully acknowledged, as well as the support by the Slovak Grants APVV-14-0013, VEGA 1/0614/18 and VEGA 1/0891/17. B Erich Peter Klement ep.klement@jku.at Extended author information available on the last page of the article decision theory [77], finance [7,27], preference modeling [9,13], but also fuzzy logics and the theory of fuzzy sets [10,30,63].…”
Section: Introductionmentioning
confidence: 99%