Portfolio optimization under safety first expected utility with nonlinear probability distortion

被引:2
|
作者
Li, Yan [1 ,2 ]
Mi, Hui [1 ,2 ]
机构
[1] Nanjing Normal Univ, Sch Math Sci, Nanjing 210023, Jiangsu, Peoples R China
[2] Nanjing Normal Univ, Inst Finance & Stat, Nanjing 210023, Jiangsu, Peoples R China
基金
中国国家自然科学基金;
关键词
Rank-dependent utility theory; Inversed-S shaped distortion; Quantile function; SFEUD model; Concave envelope; ARROW-DEBREU EQUILIBRIA; OPTIMAL INSURANCE; SELECTION; CHOICE;
D O I
10.1016/j.chaos.2021.110917
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
In this paper, we study a portfolio selection problem under safety first expected utility model with distortion (SFEUD model) where the underlying probability scale is transformed by a nonlinear distortion function. By employing the quantile formulation and the relaxation method, we obtain the general form of optimal solution to the problem, and the necessary and sufficient condition for existing such an optimal solution is also proved. We further demonstrate an analytical solution to the optimal strategies under four different monotonic cases. What's more, the optimal terminal wealth process is replicated into a portfolio of options and deposits under specific circumstances. In addition, we empirically verify the model implication and figure out that investors' realization of disaster risk can explain the price change of call options to some degree. (c) 2021 Elsevier Ltd. All rights reserved.
引用
收藏
页数:18
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