Inspecting the Predictive Power of Artificial Intelligence Models in Predicting the Stock Price Trend in Tehran Stock Exchange
Objective: Time series prediction methods based on artificial intelligence have been widely developed in recent years. Given that these data have large dimensions in the field of investment and stock price forecasting, traditional data analysis methods have low predictive power. This study examines...
| Main Authors: | , |
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| Format: | Article |
| Language: | fas |
| Published: |
University of Tehran
2022-12-01
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| Series: | تحقیقات مالی |
| Subjects: | |
| Online Access: | https://jfr.ut.ac.ir/article_90702_1dfb0770791a05ab2a7bfb2d280d81b7.pdf |