Risk Index Based Uncertain Portfolio Selection with Monotone Increasing Multiplicative Background Risk

被引:0
|
作者
Ma, Di [1 ,2 ]
Huang, Xiaoxia [3 ]
Choe, Kwang-Il [3 ,4 ]
机构
[1] Zhengzhou Univ, Sch Management, Zhengzhou 450046, Peoples R China
[2] Zhengzhou Univ Aeronaut, Sch Econ, Zhengzhou 450046, Peoples R China
[3] Univ Sci & Technol Beijing, Sch Econ & Management, Beijing 100083, Peoples R China
[4] Pyongyang Univ Mech Engn, Sch Math, Pyongyang 999093, South Korea
关键词
Portfolio selection; uncertain variables; multiplicative background risk; mean-risk index model; CHOICE; MODEL; MULTIPERIOD;
D O I
10.1142/S0218488525500059
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Investors usually invest not only in risky assets but also in risk-free assets and face not only portfolio risk but also background risk. This paper discusses an uncertain portfolio selection problem in risky assets and risk-free assets with monotone increasing multiplicative background risk (MBR), which is prevalent but less research has been done. To do so, we first propose an uncertain mean-risk index model based on uncertainty theory where the security return and MBR are regarded as uncertain variables and give the deterministic form of the model. Then for further analysis, we discuss the critical constraint and optimality condition of the model. Based on the discussion, we study the influence of uncertain MBR on the investors' decisions. Finally, we provide the case analysis to illustrate the application of our method and the analysis results.
引用
收藏
页码:119 / 140
页数:22
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