Journal of the Operations Research Society of China ›› 2018, Vol. 6 ›› Issue (1): 138-158.doi: https://doi.org/10.1007/s40305-017-0188-9
Special Issue: Market Economy
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Jia Liu1 · Zhi-Ping Chen1 · Yong-Chang Hui1
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Published:
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.
Key words: Distributionally robust optimization ·, Multi-period risk measure ·Dynamic portfolio selection ·, Conditional value-at-risk
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.
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URL: https://www.jorsc.shu.edu.cn/EN/https://doi.org/10.1007/s40305-017-0188-9
https://www.jorsc.shu.edu.cn/EN/Y2018/V6/I1/138