Ambiguity aversion and optimal derivative-based pension investment with stochastic income and volatility

被引:67
|
作者
Zeng, Yan [1 ]
Li, Danping [2 ]
Chen, Zheng [3 ]
Yang, Zhou [4 ]
机构
[1] Sun Yat Sen Univ, Lingnan Univ Coll, Guangzhou 510275, Guangdong, Peoples R China
[2] Univ Waterloo, Dept Stat & Actuarial Sci, Waterloo, ON N2L 3G1, Canada
[3] Sun Yat Sen Univ, Sun Yat Sen Business Sch, Guangzhou 510275, Guangdong, Peoples R China
[4] South China Normal Univ, Sch Math Sci, Guangzhou 516031, Guangdong, Peoples R China
来源
基金
中国国家自然科学基金;
关键词
Robust portfolio choice; DC pension plan; Ambiguity; Derivative; Stochastic volatility; Stochastic salary; ROBUST PORTFOLIO CHOICE; INTEREST-RATES; RISK; STRATEGIES; MODEL; PLANS; REINSURANCE; INSURER; RETURN; RULES;
D O I
10.1016/j.jedc.2018.01.023
中图分类号
F [经济];
学科分类号
02 ;
摘要
This paper provides a derivative-based optimal investment strategy for an ambiguity adverse pension investor who faces not only risks from time-varying income and market return volatility but also uncertain economic conditions over a long time horizon. We derive a robust dynamic derivative strategy and show that the optimal strategy under ambiguity aversion reduces the exposures to market return risk and volatility risk and that the investor holds opposite positions for the two risk exposures. In the presence of a derivative, ambiguity has distinct effects on the optimal investment strategy. More important, we demonstrate the utility improvement when considering ambiguity and exploiting derivatives and show that ambiguity aversion and derivative trading significantly improve utility when return volatility increases. This improvement becomes more significant under ambiguity aversion over a long investment horizon. (C) 2018 Elsevier B.V. All rights reserved.
引用
收藏
页码:70 / 103
页数:34
相关论文
共 50 条