Authors : M.P. Rajakumar and V. Shanthi
Abstract: Earnings significant profit is the prime concern of the investor and it is rather competent to determine the future value of a company’s stock. To introspect challenges in stock market researchers need to overcome the impediments and strive for further improving the focus on prediction of share market. As the market prices are flexible it is nevertheless to say a volatile and dynamic pattern of prediction is inevitable. In the present scenario application of soft computing in stock market has taken a faster face of advancement thereby inducing the hope of extracting market patterns at a speeder rate. The research is concerned with development of forecasting the company’s stock price by utilizing the facilities of fuzzy inference system and neural network. The methodology employed is based on fundamental analysis and financial market theory. Based on the literature review done the current valuation of the stock-price to earnings ratio and future growth of the stock-price to earnings growth ratio could have been employed to build successful investment strategies in predicting stock market high. The empirical results obtained with stock data of NSE shows that the proposed system can be effective to improve the accuracy of stock price prediction.
M.P. Rajakumar and V. Shanthi , 2013. Computationally Intellectual Structure for Forecasting Share Price. International Journal of Soft Computing, 8: 218-222.