Tehran Stock Exchange, Stocks Price Prediction, Using Wisdom of Crowd

Babak Sohrabi; Saeed Rouhani; Hamid Reza Yazdani; Ahmad Khalili Jafarabad; Mahsima Kazemi Movahed

Volume 7, Issue 4 , 2023, , Pages 1-28

https://doi.org/10.30699/ijf.2023.382999.1397

Abstract
  Two predominant methods for analyzing financial markets have been technical and fundamental analysis. However, the emergence of the Internet has altered the trading landscape. The availability of Internet and social media access plays a moderating role in information asymmetry, resulting in investors ...  Read More

Identification of the Factors Affecting Capital Structure in Firms with Emphasis on the Role of Behavioral Factors

Ehsan Ahmadi; Parastoo Mohammadi; Farimah Mokhatab Rafei

Volume 7, Issue 4 , 2023, , Pages 29-58

https://doi.org/10.30699/ijf.2023.397005.1412

Abstract
  Making decisions regarding capital structure is among the most challenging issues ahead for firms and the most critical decisions for their survival. On the other hand, several significant aspects, such as behavioral factors, have been overlooked in this field. Thus, the present study mainly seeks to ...  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