Document Type
Conference Proceeding
Publisher
IEEE
Faculty
Computing, Health and Science
School
Computer and Information Science
RAS ID
6057
Abstract
Stock markets are affected by many uncertainties and interrelated economic and political factors at both local and global levels; determining the set of relevant factors for making accurate predictions is a complicated task. This paper analyzes relevant literature on the Stock Exchange of Thailand (SET), according to the categories of techniques used. The research proposes an approach of soft computing on the SET forecasting and exposes the main driving indicators, from the literature, including Dow Jones, Nikkei index, Hang Seng index, Minimum Loan Rate, the value of the Thai baht and the gold price.
Comments
This article was originally published as: Chaigusin, S. , Chirathamjaree, C. , & Clayden, J. M. (2008). Soft Computing In The Forecasting Of The Stock Exchange Of Thailand . Proceedings of IEEE Conference on Management of Innovation and Technology, . (pp. 1277-1281). Bangkok Thailand. IEEE. Original article available here