Evaluation of PSO-BiLSTM method for stock price forecasting using stock price time series data (Case study: Iran Stock Exchange and OTC stock)
In recent years, with the increase in the penetration rate of the capital market, more people have invested in the stock market. Predicting the stock prices accurately with the least error can reduce investment risk and increase investment return. Due to nonlinear fluctuations, stock prices predicti...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | fas |
| Published: |
Alzahra University
2022-12-01
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| Series: | راهبرد مدیریت مالی |
| Subjects: | |
| Online Access: | https://jfm.alzahra.ac.ir/article_6861_c52922b4881032981b4a62059badb946.pdf |