Prediction of TSE Companies Investment Behaviour Using Neural Networks

Firm investment behaviour is a complex process which is influenced by many factors. In contrast to former studies، this study has a comprehensive approach and uses a metasynthesis method. This method primarily identifies factors affecting firm investments and separates financial factors from fundamental factors. Then، using causal method and identifying type of relationships، modeling is done. At last، the model is tested by neural network. The study uses 8 year data ending June 2011، so that the first five year data are used for explication and the last three year data are used for testing the model. Results indicate that capability of prediction of TSE companies investment behaviour using the model is more than 62 percent