Abstract
This study employs the techniques of Monte Carlo Simulation and Genetic Algorithms Based Optimization aimed at analyzing the impacts of investment horizon and target terminal wealth on the performance of the Dollar Cost Averaging (DCA) investment strategy in comparison with the Value Averaging (VA) investment strategy. According to the findings, with increased length of investment horizon and/or lowered target terminal wealth, the Value Averaging (VA) investment strategy will have better performance than the Dollar Cost Averaging investment strategy. The investment performance is evaluated with a variety of measures including Modified Sharpe Ratio, Modified Sortino Ratio, Shortfall Probability and Dominance Probability.