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时-频域视角下的集成高阶矩投资组合策略研究
引用本文:朱鹏飞,唐勇. 时-频域视角下的集成高阶矩投资组合策略研究[J]. 系统工程理论与实践, 2020, 40(1): 13-27. DOI: 10.12011/1000-6788-2018-2402-15
作者姓名:朱鹏飞  唐勇
作者单位:1. 福州大学 经济与管理学院, 福州 350116;2. 金融数学福建省高校重点实验室 (莆田学院), 莆田 351100;3. 福建省金融科技创新重点实验室, 福州 350116
基金项目:国家自然科学基金(71573042);福建省社科规划重大项目(FJ2017Z006);福建省自然科学基金(2017J01518);金融数学福建省高校重点实验室(莆田学院)开放课题(JR201804)
摘    要:针对以往研究不足,本文基于时-频域视角,借鉴分解-集成思想,将极大重叠离散小波变换方法与高阶矩投资组合框架相结合,构建了小波-集成高阶矩投资组合模型.鉴于小波函数诸多且性质各异,本文又提出分解-混合-集成思想,并构建混合小波-集成高阶矩投资组合模型.基于股票、原油和黄金数据,本文采用构建的模型进行样本外投资组合检验和分析,并进行稳健性检验,实证结果表明:相较于对照组,小波-集成高阶矩策略取得了较好的投资效果,为投资者带来更高的收益、夏普比率以及效用水平;凭借混合诸多小波函数的优势,混合小波-集成高阶矩策略取得了更佳的组合效果,显著优化了小波-集成高阶矩策略.稳健性检验佐证了上述结论.

关 键 词:时-频域  小波  高阶矩投资组合  分解-集成  分解-混合-集成
收稿时间:2018-12-11

Research on the integrated high-order moment portfolio strategy from time-frequency domain perspective
ZHU Pengfei,TANG Yong. Research on the integrated high-order moment portfolio strategy from time-frequency domain perspective[J]. Systems Engineering —Theory & Practice, 2020, 40(1): 13-27. DOI: 10.12011/1000-6788-2018-2402-15
Authors:ZHU Pengfei  TANG Yong
Affiliation:1. School of Economics & Management, Fuzhou University, Fuzhou 350116, China;2. Key Laboratory of Financial Mathematics (Putian University), Fujian Province University, Putian 351100, China;3. Fujian Provincial Key Laboratory of Finance and Technology Innovation, Fuzhou 350116, China
Abstract:In view of the deficiency of previous researches, this paper draws on the idea of decomposition-integration and combines the maximal overlapping discrete wavelet transform method with the high-order moment portfolio framework based on the time-frequency domain perspective to construct a wavelet-integrated higher-order moment portfolio model. Since the wavelet functions are various with different properties, this paper proposes the idea of decomposition-mixing-integration and constructs a hybrid wavelet-integrated higher-order moment portfolio model. Based on data of stock, crude oil and gold markets, this paper adopts the constructed model to build portfolios, and conducts out-of-sample testing and analysis on them, after which stability testing was carried out. The empirical results show that, first, compared with the control group, the wavelet-integrated high-order moment strategy achieves a significantly better investment effect, bringing higher returns, Sharpe ratio and utility level to investors. Second, by combining the advantages of many wavelet functions, the hybrid wavelet-integrated high-order moment strategy achieves better effects and significantly optimizes the wavelet-integrated high-order moment strategy. The stability test verifies the above conclusions.
Keywords:time-frequency domain  wavelet  high-order moment portfolio  decomposition-integration  decomposition-mixing-integration  
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