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Published in: Mathematics and Financial Economics 2/2015

01-03-2015

Pareto optimal allocations and optimal risk sharing for quasiconvex risk measures

Authors: Elisa Mastrogiacomo, Emanuela Rosazza Gianin

Published in: Mathematics and Financial Economics | Issue 2/2015

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Abstract

The main goal of this paper is to generalize the characterization of Pareto optimal allocations known for convex risk measures (see, among others, Jouini et al., in Math Financ 18(2):269–292, 2008 and Filipovic and Kupper, in Int J Theor Appl Financ, 11:325–343, 2008) to the wider class of quasiconvex risk measures. Following the approach of Jouini et al., in Math Financ 18(2):269–292, 2008 for convex risk measures, in the quasiconvex case we provide sufficient conditions for allocations to be (weakly) Pareto optimal in terms of exactness of the so-called quasiconvex inf-convolution as well as an existence result for weakly Pareto optimal allocations. Moreover, we give a necessary condition for weakly optimal risk sharing that is also sufficient under cash-additivity of at least one between the risk measures.

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Appendix
Available only for authorised users
Footnotes
1
\(\pi \) is said to be Lipschitz on the strict lower level set \(\{\pi < \pi (\xi ) \}\) if there exists \(c>0\) such that \(\vert \pi (X)-\pi (Y) \vert \le c \Vert X-Y \Vert _{\infty }\) for any \(X,Y \in L^{\infty }\) such that \(\pi (X), \pi (Y) < \pi (\xi )\). Roughly speaking, this means that \(\pi \) is \(\Vert \cdot \Vert _{\infty }\)-continuous on the strict lower level set.
 
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Metadata
Title
Pareto optimal allocations and optimal risk sharing for quasiconvex risk measures
Authors
Elisa Mastrogiacomo
Emanuela Rosazza Gianin
Publication date
01-03-2015
Publisher
Springer Berlin Heidelberg
Published in
Mathematics and Financial Economics / Issue 2/2015
Print ISSN: 1862-9679
Electronic ISSN: 1862-9660
DOI
https://doi.org/10.1007/s11579-014-0139-8