A theoretical generalization of the Markowitz model incorporating skewness and kurtosis
将偏度和峰度纳入经典均值-方差框架，提出马科维茨模型的推广，给出优化问题的闭式解，并将四矩最优组合分解为均值-方差最优组合与两个自融资组合之和。
This paper proposes a generalization of Markowitz model that incorporates skewness and kurtosis into the classical mean–variance allocation framework. The principal appeal of the present approach is that it provides the closed-form solution of the optimization problem. The four moments optimal portfolio is then decomposed into the sum of three portfolios: the mean–variance optimal portfolio plus two self-financing portfolios, respectively, accounting for skewness and kurtosis. Theoretical properties of the optimal solution are discussed together with the economic interpretation. Finally, an empirical exercise on real financial data shows the contribution of the two portfolios accounting for skewness and kurtosis when financial returns depart from Normal distribution.