Comparing Prediction Methods of Artificial Neural Networks in Extracting Financial Cycles of Tehran Stock Exchange based on Markov Switching and Ant Colony Algorithm

Farzaneh Abdollahian; Mohammad Ebrahim Mohammad Pourzarandi; Mehrzad Minouei; Seyed Mohammad Hasheminejad

Volume 3, Issue 2 , 2019, , Pages 1-24

http://dx.doi.org/10.22034/ijf.2020.201389.1066

Abstract
  The stock exchange is considered to be an important establishment to finance long term projects, on one hand, and to collect savings and finance of private section. The stock exchange can be a safe and secure place to invest surplus funds to purchase corporate stocks. As recession and prosperity in this ...  Read More

Comparison of Some Data Mining Models in Forecast of Performance of Banks Accepted in Tehran Stock Exchange Market

Elham Adakh; Arefeh Fadavi Asghari; Mohammad Ebrahim Mohammad Pourzarandi

Volume 3, Issue 1 , January 2019, , Pages 90-109

http://dx.doi.org/10.22034/ijf.2019.195386.1047

Abstract
  In order to survive in the modern world, organizations must be equipped with the mechanisms that not only maintain their competitive advantage, but also result in their progress and improvement. Prediction of banks’ performances is an important issue, and a poor performance in banks may primarily ...  Read More