α-ROBUST PORTFOLIO OPTIMIZATION PROBLEM UNDER THE DISTRIBUTION UNCERTAINTY

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Abstract

In this paper, we investigate the α-robust portfolio optimization problem under the distribution uncertainty of returns. We establish the model associated with the safety-first criterion and a generalized Chebyshev's inequality. Then we achieve the optimal investment strategy to this model. At the last part, an empirical analysis is carried out.

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Di, S., Ma, D., & Zhao, P. (2023). α-ROBUST PORTFOLIO OPTIMIZATION PROBLEM UNDER THE DISTRIBUTION UNCERTAINTY. Journal of Industrial and Management Optimization, 19(4), 2528–2548. https://doi.org/10.3934/jimo.2022054

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