Time Consistent Multi-period Worst-Case Risk Measure in Robust Portfolio Selection

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  • 1 Department of Computing Science, School of Mathematics and Statistics, Xi’an Jiaotong University, Xi’an 710049, China

Online published: 2018-03-30

Supported by

This research was supported by the National Natural Science Foundation of China (Nos. 71371152 and 11571270).

Abstract

In this paper, we first construct a time consistent multi-period worst-case risk measure, which measures the dynamic investment risk period-wise from a distributionally robust perspective. Under the usually adopted uncertainty set, we derive the explicit optimal investment strategy for the multi-period robust portfolio selection problem under the multi-period worst-case risk measure. Empirical results demonstrate that the portfolio selection model under the proposed risk measure is a good complement to existing multi-period robust portfolio selection models using the adjustable robust approach.

Cite this article

Jia Liu, Zhi-Ping Chen, Yong-Chang Hui . Time Consistent Multi-period Worst-Case Risk Measure in Robust Portfolio Selection[J]. Journal of the Operations Research Society of China, 2018 , 6(1) : 138 -158 . DOI: https://doi.org/10.1007/s40305-017-0188-9

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