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.
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This paper is dedicated to Professor Duan Li in celebration of his 65th birthday.
This research was supported by the National Natural Science Foundation of China (Nos. 71371152 and 11571270)
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Liu, J., Chen, ZP. & Hui, YC. Time Consistent Multi-period Worst-Case Risk Measure in Robust Portfolio Selection. J. Oper. Res. Soc. China 6, 139–158 (2018). https://doi.org/10.1007/s40305-017-0188-9
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DOI: https://doi.org/10.1007/s40305-017-0188-9
Keywords
- Distributionally robust optimization
- Multi-period risk measure
- Dynamic portfolio selection
- Conditional value-at-risk