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Two nonparametric approaches to mean absolute deviation portfolio selection model

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成果类型:
期刊论文
作者:
Dai, Zhifeng;Zhu, Huan;Wen, Fenghua*
通讯作者:
Wen, Fenghua
作者机构:
[Dai, Zhifeng; Zhu, Huan] Changsha Univ Sci & Technol, Coll Math & Stat, Changsha 410114, Peoples R China.
[Dai, Zhifeng; Zhu, Huan] Changsha Univ Sci & Technol, Hunan Prov Key Lab Math Modeling & Anal Engn, Changsha 410114, Peoples R China.
[Wen, Fenghua] Cent South Univ, Coll Business, Dept Finance, Changsha 410083, Hunan, Peoples R China.
通讯机构:
[Wen, Fenghua] C
Cent South Univ, Coll Business, Dept Finance, Changsha 410083, Hunan, Peoples R China.
语种:
英文
关键词:
Financial markets;Investments;Conditional Value-at-Risk;Mean absolute deviations;Mean-absolute deviation portfolio;Non-parametric estimations;Nonparametric approaches;Portfolio selection models;Sample analysis;Shanghai stock exchanges;Value engineering
期刊:
JOURNAL OF INDUSTRIAL AND MANAGEMENT OPTIMIZATION
ISSN:
1547-5816
年:
2020
卷:
16
期:
5
页码:
2283-2303
基金类别:
Acknowledgments. We are grateful to the anonymous referees and editor for their useful comments, which have made the paper clearer and more comprehensive than the earlier version. This work was supported by the NSF of China granted (71771030, 11301041, 71873146, 71671018), Scientific Research Fund of Hunan Provincial Education Department(16B005).
机构署名:
本校为第一机构
院系归属:
数学与统计学院
摘要:
In this paper, we apply two nonparametric approaches to mean absolute deviation (MAD) portfolio selection model. The first one is to use the nonparametric kernel mean estimation to replace the returns of assets with five different kernel functions. Then, we construct the nonparametric kernel mean estimation-based MAD portfolio model. The second one is to utilize the nonparametric kernel median estimation to replace the returns of assets with five different kernel functions. Then, we construct the nonparametric kernel median estimation-based MAD...

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