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A smoothing method for solving portfolio optimization with CVaR and applications in allocation of generation asset

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成果类型:
期刊论文、会议论文
作者:
Tong, Xiaojiao*;Qi, Liqun;Wu, Felix;Zhou, Hui
通讯作者:
Tong, Xiaojiao
作者机构:
[Tong, Xiaojiao] Changsha Univ Sci & Technol, Inst Math, Changsha 410076, Hunan, Peoples R China.
[Qi, Liqun] Hong Kong Polytech Univ, Dept Appl Math, Kowloon, Hong Kong, Peoples R China.
[Wu, Felix] Univ Hong Kong, Dept Elect & Elect Engn, Hong Kong, Hong Kong, Peoples R China.
[Zhou, Hui] Huazhong Univ Sci & Technol, Wuhan 430074, Peoples R China.
通讯机构:
[Tong, Xiaojiao] C
Changsha Univ Sci & Technol, Inst Math, Changsha 410076, Hunan, Peoples R China.
语种:
英文
关键词:
Allocation of generation asset;Conditional value-at-risk (CVaR);Portfolio optimization;Smoothing method
期刊:
Applied Mathematics and Computation
ISSN:
0096-3003
年:
2010
卷:
216
期:
6
页码:
1723-1740
会议名称:
Workshop on Iterative Methods and Preconditioning Techniques
会议时间:
MAR 22-28, 2009
会议地点:
Suzhou, PEOPLES R CHINA
会议主办单位:
[Tong, Xiaojiao] Changsha Univ Sci & Technol, Inst Math, Changsha 410076, Hunan, Peoples R China.^[Qi, Liqun] Hong Kong Polytech Univ, Dept Appl Math, Kowloon, Hong Kong, Peoples R China.^[Wu, Felix] Univ Hong Kong, Dept Elect & Elect Engn, Hong Kong, Hong Kong, Peoples R China.^[Zhou, Hui] Huazhong Univ Sci & Technol, Wuhan 430074, Peoples R China.
会议赞助商:
Tongji Univ, Dept Appl Math
出版地:
STE 800, 230 PARK AVE, NEW YORK, NY 10169 USA
出版者:
ELSEVIER SCIENCE INC
基金类别:
This work was supported by the NSF of China (10871031, 10826099, 10926189), the RGC Grant HKU 718608E and HKU 717907E, the Hong Kong Research Grant Council and PolyU 1023/07P.
机构署名:
本校为第一且通讯机构
院系归属:
数学与统计学院
摘要:
This paper focuses on the computation issue of portfolio optimization with scenario-based CVaR. According to the semismoothness of the studied models, a smoothing technology is considered, and a smoothing SQP algorithm then is presented. The global convergence of the algorithm is established. Numerical examples arising from the allocation of generation assets in power markets are done. The computation efficiency between the proposed method and the linear programming (LP) method is compared. Numerical results show that the performance of the new...

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