Risk sharing, measuring variability, and distortion riskmetrics

Fuente: arXiv
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Auteurs principaux: Lauzier, Jean-Gabriel, Lin, Liyuan, Wang, Ruodu
Format: Preprint
Publié: 2023
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author Lauzier, Jean-Gabriel
Lin, Liyuan
Wang, Ruodu
author_facet Lauzier, Jean-Gabriel
Lin, Liyuan
Wang, Ruodu
contents We address the problem of sharing risk among agents with preferences modelled by a general class of comonotonic additive and law-based functionals that need not be either monotone or convex. Such functionals are called distortion riskmetrics, which include many statistical measures of risk and variability used in portfolio optimization and insurance. The set of Pareto-optimal allocations is characterized under various settings of general or comonotonic risk sharing problems. We solve explicitly Pareto-optimal allocations among agents using the Gini deviation, the mean-median deviation, or the inter-quantile difference as the relevant variability measures. The latter is of particular interest, as optimal allocations are not comonotonic in the presence of inter-quantile difference agents; instead, the optimal allocation features a mixture of pairwise counter-monotonic structures, showing some patterns of extremal negative dependence.
format Preprint
id arxiv_https___arxiv_org_abs_2302_04034
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Risk sharing, measuring variability, and distortion riskmetrics
Lauzier, Jean-Gabriel
Lin, Liyuan
Wang, Ruodu
Risk Management
We address the problem of sharing risk among agents with preferences modelled by a general class of comonotonic additive and law-based functionals that need not be either monotone or convex. Such functionals are called distortion riskmetrics, which include many statistical measures of risk and variability used in portfolio optimization and insurance. The set of Pareto-optimal allocations is characterized under various settings of general or comonotonic risk sharing problems. We solve explicitly Pareto-optimal allocations among agents using the Gini deviation, the mean-median deviation, or the inter-quantile difference as the relevant variability measures. The latter is of particular interest, as optimal allocations are not comonotonic in the presence of inter-quantile difference agents; instead, the optimal allocation features a mixture of pairwise counter-monotonic structures, showing some patterns of extremal negative dependence.
title Risk sharing, measuring variability, and distortion riskmetrics
topic Risk Management
url https://arxiv.org/abs/2302.04034