Dynamic mean-variance portfolio selection in market with jump-diffusion models

被引:4
|
作者
Guo, Zijun [1 ]
Duan, Banxiang [2 ]
机构
[1] South China Agr Univ, Coll Sci, Guangzhou, Guangdong, Peoples R China
[2] GuangDong Prov Inst Tech Personnel, Comp Engn Tech Coll, Zhuhai, Peoples R China
关键词
efficient frontier; backward stochastic differential equation; investment portfolio processes; mean-variance portfolio selection; optimization; stochastic optimal control; 90C47; 90A09; 60J7; 60H10; UTILITY;
D O I
10.1080/02331934.2012.754099
中图分类号
C93 [管理学]; O22 [运筹学];
学科分类号
070105 ; 12 ; 1201 ; 1202 ; 120202 ;
摘要
Within Markowitz's mean-variance framework, the dynamic portfolio selection problem is proposed on finite time horizon .Unlike with the classical continuous-time mean-variance portfolio selection, the stock's price processes satisfy stochastic differential equations with Poisson jumps, and the interest rate is also a stochastic process. By using stochastic analysis theory, backward stochastic differential equation's theory, and optimization theory, the formula of the efficient investment portfolio is obtained. Furthermore, the efficient frontier of dynamic mean-variance portfolio selection, a parabola, is also obtained explicitly in a closed form.
引用
收藏
页码:663 / 674
页数:12
相关论文
共 50 条