The use of hybrid model Kansei-SOM in risk management and stock assessment

Document Type : Research Paper

Authors

1 Associate Professor, Faculty of Economics, Management and Accounting University of Yazd, Iran

2 Master of Industrial Engineering Student at the University of Arts and Sciences, Yazd, Iran

Abstract

Risk management and stock assessment methods, age the key factors in decisions making and stock selection in the stock market. Various methods for selecting superior stocks in the stock market is introduced. In this paper we use Kansy analysis that has been improved by SOM learning algorithm to select stock. This method is used to integrate multi- professional idea to maximize investment returns and minimize the loss that originates from the complexity of stock market changes. This paper uses monthly statistics Tehran Stock Exchange firms from April 1392 to June 1392, and six brokerage expert opinions on selected stock, preferred stock selection in the course have been discussed. The results of Bandar Abbas Oil Refining Company , Fars and Khuzestan Cement and National Development Team Leader was selected as the preferred stock , price chart of these companies in the interval represents a reasonable return on the company’s workshop in.

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Main Subjects


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