Multi-asset portfolio model optimization based on mean multifractal detrended cross correlation analysis

被引:0
|
作者
Li, Hesen [1 ,2 ]
Chun, Weide [2 ]
Wu, Xu [3 ,4 ]
Luo, Lan [5 ]
机构
[1] Chongqing Univ Sci & Technol, Sch Econ & Finance, Chongqing, Peoples R China
[2] Chengdu Univ Technol, Coll Management Sci, Chengdu, Peoples R China
[3] Chengdu Univ Technol, Sch Business, Chengdu, Peoples R China
[4] Chengdu Univ Technol, Postdoctoral Res Stn Management Sci & Engn, Chengdu, Peoples R China
[5] Univ Birmingham, Business Sch, Singapore, Singapore
基金
中国国家自然科学基金; 中国博士后科学基金;
关键词
Portfolio model optimization; variable order fluctuation function; multifractal correlations; STOCK MARKETS; MARKOWITZ; SELECTION; EFFICIENT; CREDIT;
D O I
10.1080/13873954.2024.2387938
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
In order to make the constructed investment portfolio model better adapt to the actual securities market, this paper incorporates the multifractal correlations into the portfolio model of multi-risk assets optimization. On the basis of using variable detrended covariance to measure multifractal correlations, the variable detrended covariance is embedded into the reward-risk criterion, the mean multifractal detrended cross correlation analysis portfolio (M-D) model of multi-risk assets is constructed, and the analytical solution of the M-D model of multi-risk assets is given. The empirical analysis shows that the M-D model not only can improve investment performance but also meet the return-risk criterion much more, reaching the goal of optimizing the multi-risk asset portfolio model.
引用
收藏
页码:736 / 757
页数:22
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