长寿风险分析:在意大利区域数据中的应用

IF 3.2 Q1 BUSINESS, FINANCE Quantitative Finance and Economics Pub Date : 2022-01-01 DOI:10.3934/qfe.2022006
Salvatore Scognamiglio
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引用次数: 2

摘要

长寿风险是指某一特定人群的成员比预期寿命更长。当这种情况发生时,养老金提供者可能不得不支付比预期更长时间的养老金,这大大增加了他们的成本。虽然利用人类死亡率数据库提供的国家死亡率数据对这一风险进行了充分研究,但分析次国家数据的研究相对较少。本文提出了一些随机死亡率模型的比较研究,以衡量长寿风险的意大利死亡率数据在区域水平。本文特别探讨了Lee-Carter和Li-Lee模型的使用。比较了模型的拟合质量、预测精度和复杂度。介绍了数值实验及其在即时年金评估中的应用。
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Longevity risk analysis: applications to the Italian regional data
Longevity risk is the risk that members of a given population will live longer than expected. When it occurs, pension providers may have to pay pensions for longer than expected, significantly increasing their costs. While this risk is being adequately studied using the national mortality data provided by the Human Mortality Database, relatively few studies exist that analyse sub-national data. This manuscript proposes a comparative study of some stochastic mortality models to measure the longevity risk on Italian mortality data at the regional level. In particular, the use of the Lee-Carter and Li-Lee models is explored. The models are compared in fitting quality, forecasting accuracy and complexity. Numerical experiments and applications to immediate life annuity evaluation are presented.
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来源期刊
CiteScore
0.30
自引率
1.90%
发文量
14
审稿时长
12 weeks
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