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Portfolio Selection Based on EMD Denoising with Correlation Coefficient Test Criterion

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成果类型:
期刊论文
作者:
Su, Kuangxi;Yao, Yinhong;Zheng, Chengli;Xie, Wenzhao
通讯作者:
Chengli Zheng
作者机构:
[Su, Kuangxi] Xinyang Normal Univ, Sch Math & Stat, Xinyang, Peoples R China.
[Yao, Yinhong] Capital Univ Econ & Business, Sch Management & Engn, Beijing, Peoples R China.
[Zheng, Chengli] Cent China Normal Univ, Sch Econ & Business Adm, Wuhan, Peoples R China.
[Xie, Wenzhao] Changjiang Secur Co Ltd, Wuhan, Peoples R China.
通讯机构:
[Chengli Zheng] S
School of Economics and Business Administration, Central China Normal University, Wuhan, China
语种:
英文
关键词:
Portfolio selection;Empirical mode decomposition;Correlation coefficient test;Financial data denoising
期刊:
Computational Economics
ISSN:
0927-7099
年:
2024
卷:
63
期:
1
页码:
391-421
基金类别:
Our research is supported by the Humanities and Social Science Planning Fund Project of the Ministry of Education (16YJAZH078); Central University for Basic Research Business Expenses (CCNU19TS062). All the fundings are obtained by Chengli Zheng.
机构署名:
本校为其他机构
院系归属:
经济与工商管理学院
摘要:
Noise is an important factor affecting portfolio performance, how to construct an effective denoising strategy is becoming increasingly important for investors. In this study, we theoretically explain the impact of noise on portfolio and argue the necessity of denoising. Next, the empirical mode decomposition (EMD) denoising strategy based on the correlation coefficient test criterion is proposed to improve portfolio performance. In detail, EMD is used to decompose the noisy price, then, a series of correlation coefficient tests are performed t...

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