Time-varying pareto optimal risk sharing for annuities

Abstract This paper investigates time-varying risk sharing between annuity buyer and provider. It explores Pareto optimal (PO) and viable Pareto optimal (VPO) risk-sharing designs, in which the share of the reserve deviation transferred to the policyholder varies over time. The optimization problem, based on a weighted average of mean-variance preferences, results in a complex quartic objective function. Such optimization problems are difficult to solve, and checking their convexity is known to be NP-hard. A heuristic method is introduced to simplify the problem, providing a closed-form solution that closely approximates the numerical results. The paper also highlights factors influencing the existence of VPO designs, with age playing a critical role, thereby suggesting the suitability of these designs as retirement products.

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Publication Details

Journal
Astin Bulletin
Published
2025-08-04
DOI
https://doi.org/10.1017/asb.2025.10058
Primary Topic
Insurance, Mortality, Demography, Risk Management
Type
article
Field-Weighted Citation Impact
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article

Time-varying pareto optimal risk sharing for annuities

Jessica Wai Yin Leung, Hamza Hanbali, Himasha Warnakulasooriya
Astin Bulletin
Insurance, Mortality, Demography, Risk Management
article

Time-varying pareto optimal risk sharing for annuities

Jessica Wai Yin Leung, Hamza Hanbali, Himasha Warnakulasooriya
article en

Abstract

Abstract This paper investigates time-varying risk sharing between annuity buyer and provider. It explores Pareto optimal (PO) and viable Pareto optimal (VPO) risk-sharing designs, in which the share of the reserve deviation transferred to the policyholder varies over time. The optimization problem, based on a weighted average of mean-variance preferences, results in a complex quartic objective function. Such optimization problems are difficult to solve, and checking their convexity is known to be NP-hard. A heuristic method is introduced to simplify the problem, providing a closed-form solution that closely approximates the numerical results. The paper also highlights factors influencing the existence of VPO designs, with age playing a critical role, thereby suggesting the suitability of these designs as retirement products.

Astin Bulletin
The University of Melbourne (AU), Monash University (AU)
Openalex Percentile: Top 65%
Insurance, Mortality, Demography, Risk Management
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Time-varying pareto optimal risk sharing for annuities — Jessica Wai Yin Leung, Hamza Hanbali, et al. · Astin Bulletin (2025) | TGRS Research Map | TGRS