Forecasting Financial Time Series Using Deep Learning Networks: Evidence from Long-Short Term Memory and Gated Recurrent Unit

Mohammadreza Ghadimpour; Seyed babak Ebrahimi

Articles in Press, Accepted Manuscript, Available Online from 21 May 2022

  The ability to predict the stock market and analyze market trends is invaluable to researchers and anyone interested in investing. However, this task is a challenging problem due to a large number of parameters and unpredictable noise that may affect the stock price. To overcome this issue, researchers ...  Read More