Regime-dependent robust risk measures with application in portfolio selection

被引:7
|
作者
Liu, Jia [1 ]
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.
引用
收藏
页码:344 / 350
页数:7
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