Abstract

<p style='text-indent:20px;'>This paper investigates a continuous-time mean-variance portfolio selection problem based on a log-return model. The financial market is composed of one risk-free asset and multiple risky assets whose prices are modelled by geometric Brownian motions. We derive a sufficient condition for open-loop equilibrium strategies via forward backward stochastic differential equations (FBSDEs). An equilibrium strategy is derived by solving the system. To illustrate our result, we consider a special case where the interest rate process is described by the Vasicek model. In this case, we also derive the closed-loop equilibrium strategy through the dynamic programming approach.

Highlights

  • Mean-variance portfolio selection problem can be date back to [15], where a single-period model is investigated

  • We find that our solutions meet the conventional investment wisdom, that is, rich and young people invest more in risky assets and there is no short sale in the long run

  • This paper studies the open-loop and closed-loop equilibrium strategies for a mean-variance portfolio selection problem based on a logreturn approach

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Summary

Introduction

Mean-variance portfolio selection problem can be date back to [15], where a single-period model is investigated. The contribution of this paper is that we consider the open-loop equilibrium strategy for the mean-variance portfolio selection through the log-return instead of the wealth level in a continuous-time setting. To show how it works, we derive both the open-loop and closed-loop equilibrium strategies for a special case where the interest rate process follows the Vasicek model. We will present the closed-loop equilibrium strategy for the log-return mean-variance portfolio selection problem. Using the approach derived by [4], the optimal strategy is obtained by a system of extended HJB equation for a special case where the interest rate process follows the Vasicek model.

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