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Optimal Investment Strategy for α-Robust Utility Maximization Problem

Abstract

In reality, investors are uncertain about the dynamics of the risky asset returns. Therefore, investors prefer to make robust investment decisions. In this paper, we propose an α-robust utility maximization problem under uncertain parameters. The investor is allowed to invest in a financial market consisting of a risk-free asset and a risky asset. The uncertainty about the expected return rate is parameterized by a nonempty set. Different from most existing literature of robust utility maximization problem where investors are generally assumed to be extremely ambiguity-averse as they tend to only consider expected utility in the worst-case scenario, we pay attention to the investors who are not only ambiguity-averse but also ambiguity seeking. Under power utility, we provide the implicit function representations for the pre-committed strategy, equilibrium strategy of open-loop type and equilibrium strategy of closed-loop type. Some properties about the optimal trading strategies, the best-case and worst-case parameters under three different kinds of strategies are provided.