A Comparative Approach to Financial Clustering Models: (A Study of the Companies Listed on Tehran Stock Exchange)

Marziyeh Nourahmadi; Fatemeh Rasti; Hojjatollah Sadeqi

Volume 6, Issue 4 , 2022, , Pages 31-55

https://doi.org/10.30699/ijf.2022.303980.1267

Abstract
  Data mining is known as one of the powerful tools in generating information and knowledge from raw data, and Clustering as one of the standard methods in data mining is a suitable method for grouping data in different clusters that helps to understand and analyze relationships. It is one of the essential ...  Read More

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

Mohammadreza Ghadimpour; Seyed babak Ebrahimi

Volume 6, Issue 4 , 2022, , Pages 81-94

https://doi.org/10.30699/ijf.2022.313164.1286

Abstract
  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