Frailty-based mortality models and reserving for longevity risk

Maria Carannante (), Valeria D’amato (), Steven Haberman () and Massimiliano Menzietti ()
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Maria Carannante: University of Salerno
Valeria D’amato: University of Salerno
Steven Haberman: University of London
Massimiliano Menzietti: University of Salerno

The Geneva Papers on Risk and Insurance - Issues and Practice, 2024, vol. 49, issue 2, No 6, 320-339

Abstract: Abstract For the life insurance industry and pension schemes, mortality projections are critical for accurately managing exposure to longevity risk in terms of both premium setting and reserving. Frailty has been identified as an important latent factor underpinning the evolution of mortality rates. It represents the comorbidities that drive the deterioration of the human body’s physiological capacity. In this paper, we propose a stochastic mortality model that incorporates the trend in frailty, and we analyse the gap between the actuarial evaluations of premiums and technical provisions calculated under frailty-based and traditional stochastic mortality models. We observe that the frailty-based model leads to higher levels of uncertainty in estimates and projections (compared to a traditional stochastic mortality model), which is attributed to the explicit modelling of the comorbidities. This leads to proposing a potentially important policy-oriented recommendation: the incorporation of frailty in mortality modelling would allow for the profiling of mortality according to the portfolio in force for the insurer (or pension scheme), thereby mitigating the problem of adverse selection.

Keywords: Frailty; Stochastic mortality modelling; Adverse selection (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1057/s41288-024-00319-y

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