Predict the stock exchange of Thailand-Set

• Main Authors: Warut Sirijunyapong, Adisorn Leelasantitham, Supapogrn Kiattisin, Waranyu Wongseree
• Other Authors: Mahidol University
• Format: Conference or Workshop Item
• Published: 2018
• Subjects: Engineering
• Online Access: https://repository.li.mahidol.ac.th/handle/123456789/33877

This paper proposes an investment in the stock exchange of Thailand (SET) using ARIMA model and support vector machine. Today, the investors are interesting to invest the stock market because it provides for higher profits than ones from deposit banking. Although the stock market can provide a high...