Comparative Study of Static and Dynamic Artificial Neural Network Models in Forecasting of Tehran Stock Exchange

@inproceedings{Abounoori2015ComparativeSO,
  title={Comparative Study of Static and Dynamic Artificial Neural Network Models in Forecasting of Tehran Stock Exchange},
  author={Abbas Ali Abounoori and Esmaeil Naderi and Nadiya Gandali Alikhani and Hanieh Mohammadali},
  year={2015}
}
  • Abbas Ali Abounoori, Esmaeil Naderi, +1 author Hanieh Mohammadali
  • Published 2015
During the recent decades, neural network models have been focused upon by researchers due to their more real performance and on this basis, different types of these models have been used in forecasting. Now, there is a question that which kind of these models has more explanatory power in forecasting the future processes of the stock. In line with this, the present paper made a comparison between static and dynamic neural network models in forecasting (uninvariable) the return of Tehran Stock… CONTINUE READING