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 benefit for investors, it comes with a high risk too. Thus, this is a reason why we are proposing ARIMA model and Support vector machine. ARIMA model is one of the most popular approaches to forecast. Support vector machine is the structure of minimization of risk and supports high dimension data. Both of them can be reduced a risk to investors before their decisions to invest on stocks. © 2014 IEEE.