Frailty-based mortality models and reserving for longevity risk

Maria Carannante, Valeria D’amato, Steven Haberman, Massimiliano Menzietti
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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.

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基于虚弱的死亡率模型和长寿风险储备金
对于寿险业和养老金计划而言,死亡率预测对于准确管理保费和准备金方面的长寿风险至关重要。虚弱已被确定为支撑死亡率演变的一个重要潜在因素。它代表了导致人体生理能力衰退的合并症。在本文中,我们提出了一个包含虚弱趋势的随机死亡率模型,并分析了基于虚弱模型和传统随机死亡率模型计算的保费和技术条款精算评估之间的差距。我们发现,与传统的随机死亡率模型相比,以虚弱为基础的模型在估算和预测方面具有更高的不确定性,这归因于对合并症的明确建模。因此,我们提出了一项潜在的重要政策性建议:在死亡率模型中纳入虚弱因素,可以根据保险人(或养老金计划)的有效投资组合对死亡率进行分析,从而减轻逆向选择的问题。
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