Dynamic Portfolio Selection Under Higher Moments

In this paper, two defects in traditional portfolio introduced by Markowitz have been pointed out. Considering the higher moments risk and dynamic condition, the corresponding portfolio method has been inferred by Taylor series expansion of conditional expected utility function. The results show that the optimal dynamic portfolio weights satisfy a nonlinear system of equations, which has been solved based on the genetic algorithm. In the end, empirical analysis is conducted on international stock markets.