Central moments, stochastic dominance, moment rule, and diversification with an application

被引:4
|
作者
Chan, Raymond H. [1 ]
Chow, Sheung-Chi [2 ]
Guo, Xu [3 ]
Wong, Wing-Keung [4 ,5 ,6 ,7 ]
机构
[1] City Univ Hong Kong, Dept Math, Hong Kong, Peoples R China
[2] Australian Natl Univ, Res Sch Econ, Acton, Australia
[3] Beijing Normal Univ, Sch Stat, Beijing, Peoples R China
[4] Asia Univ, Fintech Ctr, Dept Finance, Taichung, Taiwan
[5] Asia Univ, Big Data Res Ctr, Taichung, Taiwan
[6] China Med Univ Hosp, Dept Med Res, Taichung, Taiwan
[7] Hang Seng Univ Hong Kong, Dept Econ & Finance, Hong Kong, Peoples R China
关键词
Stochastic dominance; Central moments; Expected-utility maximization; Risk aversion; Risk seeking; Investment behaviors; Moment rule; OPTIMAL PORTFOLIO ALLOCATION; PROSPECT-THEORY; RISK-SEEKING; HIGHER-ORDER; SKEWNESS PREFERENCE; TAIWAN STOCK; EFFICIENCY; INVESTORS; UTILITY; TESTS;
D O I
10.1016/j.chaos.2022.112251
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
In this paper, we first develop some properties to state the relationships among central moments, stochastic dominance (SD), risk-seeking stochastic dominance (RSD), and integrals for the general utility functions and the polynomial utility functions of both risk averters and risk seekers. We then introduce the moment rule and establish some necessary and/or sufficient conditions between stochastic dominance and the moment rule for the general utility functions and the polynomial utility functions of both risk averters and risk seekers without imposing the same-location-scale-family condition. Thereafter, we apply the moment rules to develop some properties of portfolio diversification for the general utility functions and the polynomial utility functions for both risk averters and risk seekers. The findings in our paper enable academics and practitioners to draw preferences of both risk averters and risk seekers on their choices of portfolios or assets by using different moments. We illustrate this by using the moment rule tests to compare excess return of 49 industry portfolios from Kenneth French's online data library.(c) 2022 Published by Elsevier Ltd.
引用
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页数:14
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