Document Type

Conference Proceeding

Publisher

IEEE

Faculty

Computing, Health and Science

School

Computer and Information Science

RAS ID

6057

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

© 2008 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

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.

Access Rights

free_to_read

Article Location

 
COinS