Optimal asset allocation with heterogeneous discounting and stochastic income under CEV model

被引:2
作者
Li, Danping [1 ]
Lai, Yongzeng [2 ]
Li, Lin [3 ]
机构
[1] East China Normal Univ, Sch Stat, Key Lab Adv Theory & Applicat Stat & Data Sci MOE, Shanghai, Peoples R China
[2] Wilfrid Laurier Univ, Dept Math, Waterloo, ON, Canada
[3] Hunan Univ, Sch Business, Changsha, Hunan, Peoples R China
基金
中国国家自然科学基金; 加拿大自然科学与工程研究理事会;
关键词
Asset allocation; heterogeneous discounting; time-consistency; stochastic income; constant elasticity of variance (CEV) model; CONSUMPTION-INVESTMENT PROBLEM; DEFINED-CONTRIBUTION PENSION; LIFE-INSURANCE PURCHASE; OPTIMAL REINSURANCE; PORTFOLIO; RISK; STRATEGIES; VOLATILITY; OPTIONS;
D O I
10.1080/01605682.2019.1650618
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
This article focuses on an optimal asset allocation problem with heterogeneous discounting and stochastic income under the constant elasticity of variance (CEV) model. Heterogeneous discounting is an important non-constant discounting model, which can describe the fact that a decision maker discounts in different ways the utility derived from consumption and that of the bequest or final function. It is consistent with the fact that the concern of a decision maker about the bequest left to her descendants when she is young is not the same as that when she is old. In our model, a decision maker with stochastic income can enjoy the consumption, purchase life insurance, and invest her wealth in a risk-free asset and a risky asset whose price process satisfies the CEV model. Meanwhile, the volatility of the stochastic income arises from the risky asset. Since the problem is time-inconsistent, the Bellman's principle of optimality does not hold. To obtain the time-consistent solution, an equilibrium strategy is calculated. By applying the game theoretic framework and solving an extended Hamilton-Jacobi-Bellman system, we derive the time-consistent consumption, investment, and life insurance strategies for both exponential and logarithmic utility functions. Finally, we provide numerical simulations to illustrate our results.
引用
收藏
页码:2013 / 2026
页数:14
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