Preprint
Optimal allocations with distortion risk measures and mixed risk attitudes
ArXiv.org
arXiv
10/21/2025
DOI: 10.48550/arxiv.2510.18236
Abstract
We study Pareto-optimal risk sharing in economies with heterogeneous attitudes toward risk, where agents' preferences are modeled by distortion risk measures. Building on comonotonic and counter-monotonic improvement results, we show that agents with similar attitudes optimally share risks comonotonically (risk-averse) or counter-monotonically (risk-seeking). We show how the generaln -agent problem can be reduced to a two-agent formulation between representative risk-averse and risk-seeking agents, characterized by the infimal convolution of their distortion risk measures. Within this two-agent framework, we establish necessary and sufficient conditions for the existence of optimal allocations, and we identify when the infimal convolution yields an unbounded value. When existence fails, we analyze the problem under nonnegative allocation constraints, and we characterize optima explicitly, under piecewise-linear distortion functions and Bernoulli-type risks. Our findings suggest that the optimal allocation structure is governed by the relative strength of risk aversion versus risk seeking behavior, as intuition would suggest.
Details
- Title: Subtitle
- Optimal allocations with distortion risk measures and mixed risk attitudes
- Creators
- Mario GhossoubQinghua RenRuodu Wang
- Resource Type
- Preprint
- Publication Details
- ArXiv.org
- DOI
- 10.48550/arxiv.2510.18236
- ISSN
- 2331-8422
- Publisher
- arXiv
- Language
- English
- Date posted
- 10/21/2025
- Academic Unit
- Statistics and Actuarial Science
- Record Identifier
- 9985179965502771
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