Regime-dependent robust risk measures with application in portfolio selection
被引:7
|
作者:
Liu, Jia
论文数: 0引用数: 0
h-index: 0
机构:
Xi An Jiao Tong Univ, Sch Math & Stat, Dept Comp Sci, Xian 710049, Shaanxi, Peoples R ChinaXi An Jiao Tong Univ, Sch Math & Stat, Dept Comp Sci, Xian 710049, Shaanxi, Peoples R China
Liu, Jia
[1
]
Chen, Zhiping
论文数: 0引用数: 0
h-index: 0
机构:
Xi An Jiao Tong Univ, Sch Math & Stat, Dept Comp Sci, Xian 710049, Shaanxi, Peoples R ChinaXi An Jiao Tong Univ, Sch Math & Stat, Dept Comp Sci, Xian 710049, Shaanxi, Peoples R China
Chen, Zhiping
[1
]
机构:
[1] Xi An Jiao Tong Univ, Sch Math & Stat, Dept Comp Sci, Xian 710049, Shaanxi, Peoples R China
来源:
2ND INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND QUANTITATIVE MANAGEMENT, ITQM 2014
|
2014年
/
31卷
关键词:
risk measure;
robust portfolio selection;
regime switching;
distributional moments;
second order cone program;
OPTIMIZATION;
D O I:
10.1016/j.procs.2014.05.277
中图分类号:
TP39 [计算机的应用];
学科分类号:
081203 ;
0835 ;
摘要:
Current robust risk measures or portfolio selection models are usually derived under the worst-case analysis, which makes the investment decision too conservative and could not reflect the change of uncertainty sets with respect to different market environments. We use the regime switching technique to describe the time-varying uncertainty set of the first and second order moments, and propose two kinds of robust risk measures: worst regime risk measure and mixed worst-case risk measure. These new risk measures have good properties and the robust portfolio selection models derived from them can be efficiently solved in polynomial time. Empirical results show the reasonability and efficiency of our new models. (C) 2014 Published by Elsevier B.V.
机构:
Nankai Univ, LPMC, Tianjin 300071, Peoples R China
Nankai Univ, Sch Math Sci, Tianjin 300071, Peoples R ChinaRenmin Univ China, Sch Business, Beijing 100872, Peoples R China
Zhang, Xin
Siu, Tak Kuen
论文数: 0引用数: 0
h-index: 0
机构:
Macquarie Univ, Dept Actuarial Studies, Fac Business & Econ, Sydney, NSW 2109, Australia
Macquarie Univ, Ctr Financial Risk, Fac Business & Econ, Sydney, NSW 2109, AustraliaRenmin Univ China, Sch Business, Beijing 100872, Peoples R China
Siu, Tak Kuen
Meng, Qingbin
论文数: 0引用数: 0
h-index: 0
机构:
Renmin Univ China, Sch Business, Beijing 100872, Peoples R ChinaRenmin Univ China, Sch Business, Beijing 100872, Peoples R China