Nonparametric portfolio efficiency measurement with higher moments

被引:3
|
作者
Krueger, Jens J. [1 ]
机构
[1] Tech Univ Darmstadt, Dept Law & Econ, Hsch Str 1, D-64289 Darmstadt, Germany
关键词
Finance; Portfolio choice; Directional distance functions; Skewness and kurtosis; SHORTAGE FUNCTION; HIGHER-ORDER; SKEWNESS; RISK; PREFERENCE; SELECTION; TESTS; VARIANCES; DIRECTION;
D O I
10.1007/s00181-020-01917-0
中图分类号
F [经济];
学科分类号
02 ;
摘要
The paper considers a nonparametric approach to determine portfolio efficiency using specific directions toward the portfolio frontier function. This approach allows for a straightforward incorporation of higher moments of the returns distribution beyond mean and variance. The nonparametric approach is extended by the computation of optimal directions endogenously by maximizing the distance toward the portfolio frontier as a novel methodological feature. An empirical application to Fama-French portfolios demonstrates the applicability of the nonparametric approach. The results show that the optimal directions to the frontier depend on the portfolio considered as well as on the period for which the moments are estimated. Skewness in particular plays a role in determining the optimal direction, whereas kurtosis seems to be less crucial.
引用
收藏
页码:1435 / 1459
页数:25
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