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An Efficient Approach to Forecast Indian Stock Market Price and their Performance Analysis
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 34 - Number 5 |
| Year of Publication: 2011 |
| Authors: K.K.Sureshkumar, Dr.N.M.Elango |
10.5120/4103-5942
|
K.K.Sureshkumar, Dr.N.M.Elango . An Efficient Approach to Forecast Indian Stock Market Price and their Performance Analysis. International Journal of Computer Applications. 34, 5 ( November 2011), 44-49. DOI=10.5120/4103-5942
Abstract
Forecasting accuracy is the most important factor in selecting any forecasting methods. Research efforts in improving the accuracy of forecasting models are increasing since the last decade. The appropriate stock selections those are suitable for investment is a difficult task. The key factor for each investor is to earn maximum profits on their investments. Numerous techniques used to predict stocks in which fundamental and technical analysis are one among them. In this paper, prediction algorithms and functions are used to predict future share prices and their performance will be compared. The results from analysis shows that isotonic regression function offers the ability to predict the stock prices more accurately than the other existing techniques. The results will be used to analyze the stock prices and their prediction in depth in future research efforts.
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