Predicting Stock Price Movement Using Support Vector Machine Based on Genetic Algorithm in Tehran Stock Exchange Market
According to recent developments of predicting methods<br />in financial markets, and since the stock price is one of the most<br />important factors for investment decision-making, and its prediction<br />can play an important role in this field, the aim of this study is to<br...
| Main Authors: | , , |
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| Format: | Article |
| Language: | fas |
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University of Tehran
2013-10-01
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| Series: | تحقیقات مالی |
| Subjects: | |
| Online Access: | https://jfr.ut.ac.ir/article_51081_7b62bf20041a4c2bd73a890dc8a3a0ec.pdf |