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ESTIMATION OF RETURN ON INVESTMENT IN SHARE MARKET THROUGH ANN

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Author(s): K.S.Ravichandran | P.Thirunavukarasu | R. Nallaswamy | R.Babu

Journal: Journal of Theoretical and Applied Information Technology
ISSN 1992-8645

Volume: 3;
Issue: 1;
Start page: 44;
Date: 2007;
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Keywords: Indian Stock Market | Neural Networks | Decision Making | Correlation and Regression analysis

ABSTRACT
The stock market is one of the most popular investing places because of its expected high profit. Traditionally, technical analysis approach, that predicts stock prices based on historical prices and volume, basic concepts of trends, price patterns and oscillators, is commonly used by stock investors to aid investment decisions. Advanced intelligent techniques, ranging from pure mathematical models and expert systems to fuzzy logic networks, have also been used by many financial trading systems for investing and predicting stock prices. In recent years, most of the researchers have been concentrating their research work on the future prediction of share market prices by using Neural Networks. But, in this paper we newly propose a methodology inwhich the neural network is applied to the investor’s financial decision making to invest all type of shares irrespective of the high / low index value of the scripts, in a continuous time frame work and further it is further extended to obtain the expected return on investment through the Neural Networks and finally it is compared with the actual value. The proposed network has been tested with stock data obtained from the Indian Share Market BSE Index. Finally, the design, implementation and performance of the proposed neural network are described.
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