An Artificial Bee Colony Algorithm for Uncertain Portfolio Selection
Author
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-06-26
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
Portfolio selection is an important issue for researchers and practitioners.
In this paper, underthe assumption that security returns are given by experts’ evaluations rather than historical data,we discuss the portfolio adjusting problem which takes transaction costs and diversification degree ofportfolio into consideration.
Uncertain variables are employed to describe the security returns.
In theproposed mean-variance-entropy model, the uncertain mean value of the return is used to measureinvestment return, the uncertain variance of the return is used to measure investment risk, and theentropy is used to measure diversification degree of portfolio.
In order to solve the proposed model,a modified artificial bee colony (ABC) algorithm is designed.
Finally, a numerical example is givento illustrate the modelling idea and the effectiveness of the proposed algorithm.
American Psychological Association (APA)
Chen, Wei. 2014. An Artificial Bee Colony Algorithm for Uncertain Portfolio Selection. The Scientific World Journal،Vol. 2014, no. 2014, pp.1-12.
https://search.emarefa.net/detail/BIM-1050166
Modern Language Association (MLA)
Chen, Wei. An Artificial Bee Colony Algorithm for Uncertain Portfolio Selection. The Scientific World Journal No. 2014 (2014), pp.1-12.
https://search.emarefa.net/detail/BIM-1050166
American Medical Association (AMA)
Chen, Wei. An Artificial Bee Colony Algorithm for Uncertain Portfolio Selection. The Scientific World Journal. 2014. Vol. 2014, no. 2014, pp.1-12.
https://search.emarefa.net/detail/BIM-1050166
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1050166