Introducing a Prediction Model in Total Stock Price Index Using Neural Networks Approach (Case Study: Tehran Stock Exchange)

The object of this research is to present a prediction model of price index in Tehran stock exchange using artificial neural networks. For this reason, the industry index, financial index and the annual TEDIX index were introduced as (independent) input variables. The MLP plan accompanied with post-processing algorithm and multi-factor model have been used to evaluate neural network model. The results suggest that the proposed neural networks model is potent of predicting price index in Tehran stock exchange. In the closing part,conclusion has been drawn and applicable suggestions and also directions have been given concerning pursuing and following up similar researches.