Please use this identifier to cite or link to this item: http://cmuir.cmu.ac.th/jspui/handle/6653943832/68087
Title: Alternative prediction methods in the stock exchanges of Thailand
Authors: Kanchana Chokethaworn
Chukiat Chaiboonsri
Satawat Wannapan
Keywords: Physics and Astronomy
Issue Date: 14-Oct-2019
Abstract: © 2019 IOP Publishing Ltd. All rights reserved. This paper is conducted to substantially do the two alternatives between the traditional statistical methods such as ARMA and HW models, and artificial intelligence (AI) contains KNN and ELM, respectively. To scope the main object of the paper, SET indexes are collected as the main financial variable, which are 5,472 daily observed days during 9 September 1997 to 11 June 2018. Technically, the cross-entropy (CE) analysis, MSE and RMSE calculations are computationally employed to clarify the resolution of the two computations. The empirical results state that the AI prediction can be a substitution replacing the traditional estimations, and this can strongly confirm that machine learning (ML) algorithms are continuously interested, and they are recently becoming a powerful tool for modern econometric forecasting.
URI: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85074934844&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/68087
ISSN: 17426596
17426588
Appears in Collections:CMUL: Journal Articles

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