Robust retirement and life insurance with inflation risk and model ambiguity

被引:12
|
作者
Park, Kyunghyun [1 ,2 ]
Wong, Hoi Ying [2 ]
Yan, Tingjin [3 ,4 ,5 ]
机构
[1] Nanyang Technol Univ, Div Math Sci, Singapore, Singapore
[2] Chinese Univ Hong Kong, Dept Stat, Hong Kong, Peoples R China
[3] East China Normal Univ, Key Lab Adv Theory & Applicat Stat & Data Sci, MOE, Shanghai, Peoples R China
[4] East China Normal Univ, Sch Stat, Shanghai, Peoples R China
[5] East China Normal Univ, Acad Stat & Interdisciplinary Sci, Shanghai, Peoples R China
来源
INSURANCE MATHEMATICS & ECONOMICS | 2023年 / 110卷
基金
中国国家自然科学基金;
关键词
Inflation and stock ambiguity; Retirement; Consumption-investment; Life insurance; Robust optimization; Optimal G-stopping time; G-BROWNIAN MOTION; DIFFERENTIAL-EQUATIONS DRIVEN; OPTIMAL CONSUMPTION; OPTIMAL INVESTMENT; STOCK RETURNS; STOCHASTIC VOLATILITY; PORTFOLIO SELECTION; ASSET ALLOCATION; REINSURANCE; UTILITY;
D O I
10.1016/j.insmatheco.2023.01.003
中图分类号
F [经济];
学科分类号
02 ;
摘要
We study a robust consumption-investment problem with retirement and life insurance decisions for an agent who is concerned about inflation risk and model ambiguity. Assuming that an inflation-linked index bond and a stock are available in the market, this paper considers a comprehensive setup of ambiguity in the return, volatility, and correlation parameters in the joint dynamics of their market prices. With a finite planning horizon, the agent has a general utility function with different marginal utilities of consumption before and after retirement. Combining the classical dual approach and the G -stopping time theory, we derive the novel robust strategies using integral equation representations. We numerically and extensively investigate the effects of ambiguity from different sources on the robust decisions. While model ambiguity generally leads the ambiguity-and risk-averse agent to decrease the consumption rate, life insurance purchase, and investment demands, it also generates contrasting effects on robust retirement time and wealth level. Specifically, model ambiguity lowers the target wealth level to immediate retirement of a young agent but increases the retirement time of an older agent compared to the case of known parameters. A rich agent takes ambiguity more seriously than a poor agent in the sense of adjusting the strategies on a more significant scale. Our simulation and comparison study demonstrate the significance of addressing the ambiguity in volatility and correlation in addition to the ambiguity in return. (c) 2023 Elsevier B.V. All rights reserved.
引用
收藏
页码:1 / 30
页数:30
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