A generalized stochastic differential utility driven by G-Brownian motion

被引:4
作者
Lin, Qian [1 ]
Tian, Dejian [2 ]
Tian, Weidong [3 ]
机构
[1] Wuhan Univ, Sch Econ & Management, Wuhan, Peoples R China
[2] China Univ Min & Technol, Sch Math, Xuzhou, Jiangsu, Peoples R China
[3] Univ North Carolina Charlotte, Dept Finance, Charlotte, NC USA
基金
中国国家自然科学基金;
关键词
Stochastic differential utility; Backward stochastic differential equation; G-Brownian motion; Ambiguity aversion; AMBIGUOUS VOLATILITY; EQUATIONS DRIVEN; ASSET RETURNS; RISK; CONSUMPTION; CALCULUS; AVERSION;
D O I
10.1007/s11579-020-00264-z
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
This paper introduces a class of generalized stochastic differential utility (GSDU) models in a continuous-time framework to capture ambiguity aversion on the financial market. This class of GSDU models encompasses several classical approaches to ambiguity aversion and includes new models about ambiguity aversion. For a general GSDU model, we demonstrate its continuity, monotonicity, time consistency, concavity, and homotheticity. We investigate its comparative ambiguity aversion and direction aversion under sufficient conditions. We further solve an optimal portfolio choice problem in one GSDU model as an application.
引用
收藏
页码:547 / 576
页数:30
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