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A generalized approach to sparse and stable portfolio optimization problem

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成果类型:
期刊论文
作者:
Dai, Zhifeng;Wen, Fenghua*
通讯作者:
Wen, Fenghua
作者机构:
[Dai, Zhifeng] Changsha Univ Sci & Technol, Coll Math & Stat, Changsha 410114, Hunan, Peoples R China.
[Wen, Fenghua] Cent S Univ, Coll Business, Changsha 410083, Hunan, Peoples R China.
[Wen, Fenghua] Univ Windsor, Fac Engn, Supply Chain & Logist Optimizat Res Ctr, Windsor, ON, Canada.
通讯机构:
[Wen, Fenghua] C
[Wen, Fenghua] U
Cent S Univ, Coll Business, Changsha 410083, Hunan, Peoples R China.
Univ Windsor, Fac Engn, Supply Chain & Logist Optimizat Res Ctr, Windsor, ON, Canada.
语种:
英文
关键词:
Portfolio optimization;minimum-variance model;sparse and stable portfolios
期刊:
JOURNAL OF INDUSTRIAL AND MANAGEMENT OPTIMIZATION
ISSN:
1547-5816
年:
2018
卷:
14
期:
4
页码:
1651-1666
基金类别:
Acknowledgments. This research was supported by the NSF of China granted (71771030, 11301041, 71431008, 71371195, 71671018, 71471020, 71371065), Natural Science Foundation of Hunan Province(2015JJ3015), Scientific Research Fund of Hunan Provincial Education Department(16B005), and by Hunan International Economic and Project Management granted (17IEPM01). This research was supported by the NSF of China granted (71771030, 11301041, 71431008, 71371195, 71671018, 71471020, 71371065), Natural Science Foundation of Hunan Province(2015JJ3015), Scientific Research Fund of Hunan Provincial Education Department(16B005), and by Hunan International Economic and Project Management granted (17IEPM01).
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 firstly examine the relation between the portfolio weights norm constraints method and the objective function regularization method in portfolio selection problems. We find that the portfolio weights norm constrained method mainly tries to obtain stable portfolios, however, the objective function regularization method mainly aims at obtaining sparse portfolios. Then, we propose some general sparse and stable portfolio models by imposing both portfolio weights norm constraints and objective function L1 regularization term. Fina...

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