Abstract
A multi-period mean-variance model is developed where the model parameters change according to a market with Markov random regime switching. Robust optimization is used to solve the problem which, in turn, gives the explicit expression of the efficient frontier of the mean-variance formulation. Furthermore, a numerical example based on real data from the Chinese stock market is provided to demonstrate the application of this paper.
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