A New Decision-Making Method for Stock Portfolio Selection Based on Computing with Linguistic Assessment
Joint Authors
Source
Journal of Applied Mathematics and Decision Sciences
Issue
Vol. 2009, Issue 2009 (31 Dec. 2009), pp.1-20, 20 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2009-07-09
Country of Publication
Egypt
No. of Pages
20
Main Subjects
Abstract EN
The purpose of stock portfolio selection is how to allocate the capital to a large number of stocks in order to bring a most profitable return for investors.
In most of past literatures, experts considered the portfolio of selection problem only based on past crisp or quantitative data.
However, many qualitative and quantitative factors will influence the stock portfolio selection in real investment situation.
It is very important for experts or decision-makers to use their experience or knowledge to predict the performance of each stock and make a stock portfolio.
Because of the knowledge, experience, and background of each expert are different and vague, different types of 2-tuple linguistic variable are suitable used to express experts' opinions for the performance evaluation of each stock with respect to criteria.
According to the linguistic evaluations of experts, the linguistic TOPSIS and linguistic ELECTRE methods are combined to present a new decision-making method for dealing with stock selection problems in this paper.
Once the investment set has been determined, the risk preferences of investor are considered to calculate the investment ratio of each stock in the investment set.
Finally, an example is implemented to demonstrate the practicability of the proposed method.
American Psychological Association (APA)
Chen, Chen-Tung& Hung, Wei-Zhan. 2009. A New Decision-Making Method for Stock Portfolio Selection Based on Computing with Linguistic Assessment. Journal of Applied Mathematics and Decision Sciences،Vol. 2009, no. 2009, pp.1-20.
https://search.emarefa.net/detail/BIM-506332
Modern Language Association (MLA)
Chen, Chen-Tung& Hung, Wei-Zhan. A New Decision-Making Method for Stock Portfolio Selection Based on Computing with Linguistic Assessment. Journal of Applied Mathematics and Decision Sciences No. 2009 (2009), pp.1-20.
https://search.emarefa.net/detail/BIM-506332
American Medical Association (AMA)
Chen, Chen-Tung& Hung, Wei-Zhan. A New Decision-Making Method for Stock Portfolio Selection Based on Computing with Linguistic Assessment. Journal of Applied Mathematics and Decision Sciences. 2009. Vol. 2009, no. 2009, pp.1-20.
https://search.emarefa.net/detail/BIM-506332
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-506332