Predict the stock exchange of Thailand-Set

• المؤلفون الرئيسيون: Warut Sirijunyapong, Adisorn Leelasantitham, Supapogrn Kiattisin, Waranyu Wongseree
• مؤلفون آخرون: Mahidol University
• التنسيق: Conference or Workshop Item
• منشور في: 2018
• الموضوعات: Engineering
• الوصول للمادة أونلاين: 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...