Journal article
Bowley vs. Pareto optima in reinsurance contracting
European journal of operational research, Vol.307(1), pp.382-391
05/16/2023
DOI: 10.1016/j.ejor.2022.08.003
Abstract
•Bowley optima are Pareto optimal and make the insurer indifferent.•Pareto optima that make the insurer indifferent correspond to Bowley solutions.•We focus on translation-invariant, convex, and comonotonic-additive risk measures.•Examples with convex distortion risk measures and Tail Value-at-Risk are provided.
The notion of a Bowley optimum has gained recent popularity as an equilibrium concept in problems of risk sharing and optimal reinsurance. In this paper, we examine the relationship between Bowley optimality and Pareto efficiency in a problem of optimal reinsurance, under fairly general preferences. Specifically, we show that Bowley-optimal contracts are indeed Pareto efficient but they make the insurer indifferent with the status quo (hence providing a partial first welfare theorem). Moreover, we show that only those Pareto-efficient contracts that make the insurer indifferent between suffering the loss and entering into the reinsurance contract are Bowley optimal (hence providing a partial second welfare theorem). We interpret these result as indicative of the limitations of Bowley optimality as an equilibrium concept in this literature. We also discuss relationships with competitive equilibria, and we provide illustrative examples.
Details
- Title: Subtitle
- Bowley vs. Pareto optima in reinsurance contracting
- Creators
- Tim J. Boonen - University of AmsterdamMario Ghossoub - University of Waterloo
- Resource Type
- Journal article
- Publication Details
- European journal of operational research, Vol.307(1), pp.382-391
- DOI
- 10.1016/j.ejor.2022.08.003
- ISSN
- 0377-2217
- eISSN
- 1872-6860
- Publisher
- Elsevier B.V
- Number of pages
- 10
- Grant note
- Natural Sciences and Engineering Research Council of Canada (https://doi.org/10.13039/501100000038)
- Language
- English
- Date published
- 05/16/2023
- Academic Unit
- Statistics and Actuarial Science
- Record Identifier
- 9985179681202771
Metrics
1 Record Views