Stock Market Index Prediction Using Machine Learning Techniques: Application of BIST Indices

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JOEEP: Journal of Emerging Economies and Policy
Volume:9 Issue:2
Stock Market Index Prediction Using Machine Learning Techniques: Application of BIST Indices

Stock Market Index Prediction Using Machine Learning Techniques: Application of BIST Indices

Authors : Sevgi Sumerli Sarıgül, Ramazan Aaldeimir, Hayrettin Uzunoğlu

Pages : 96-106

View : 94 | Download : 176

Publication Date : 2024-12-30

Article Type : Research Paper

Abstract :The stock market is one of the important indicators of national economies and the relationships between the components of this market have been investigated in many studies. Forecasting in the stock market is very important for both firm owners and investors. Therefore, many models have been developed to predict the future price of stocks. Especially in today\\\'s world where artificial intelligence is gaining importance, machine learning models have become popular in future forecasting models. In this context, in our study, the 2019-2022 data of the Industrial Index (XUSIN), Services Index (XUHIZ) and Financial Index (XUMAL) companies, which are among the Borsa Istanbul sector indices, were analysed using various machine learning algorithms.
Keywords : BIST, Yapay Zekâ, Makine Öğrenme

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