Predicting the Factors Affecting the Risk of Future Stock Price Decline Based on Circuit Radius Neural Network

The main objective of this study is to predict the factors affecting the risk of future stock price decline under the Circuit Radius Neural Network Method in companies admitted to the Tehran Stock Exchange during the period from 2010 to 2015. To collect theoretical foundations of the research, library method, books, Dissertations and articles have been used. To collect statistical information financial statements and accompanying notes have been utilized. For the analysis of this study Circuit Radius Neural System and SPSS23 software have been used. The results of the research indicate that predicting the factors affecting the risk of future stock price decline is possible on the basis of the Circuit Radius Neural Network Method. The research findings also show that the unusual optional cost, the opportunity to grow, the abnormal operating cash flows, the capital structure, and the size of the company affect the risk of future stock price decline respectively as the first, second, third, fourth and fifth priority.