International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064


Downloads: 91

Review Papers | Software Engineering | India | Volume 4 Issue 4, April 2015


An Improved Approach to Forecast Equity Market Using Time Series Method

Rijhal Mune | Shikha Pandey


Abstract: It is well known that short-term market price prediction has been a difficult problem for a long time because of too many factors which cannot be accurately predicted. Usually time series analysis has been often employed in modeling short-term price predictions. In recent years a new technique of artificial neural networks ANN has been proposed as an efficient tool for modeling and forecasting. A feed-forward ANN model has been developed for short-term price forecasting of stocks and in comparison with time series model ARIMA in this study. The data used include daily price, weekly price (average) and monthly price (average). The results showed that ANN model clearly outperformed the time series model in forecasting the cost before one day or one week. A fine relationship between the modeled and the real prices observed from the feed-forward ANN model, with a relative error less than 5.0 %. Index.


Keywords: Stock forecasting, ARIMA model, Data Mining, ANN model


Edition: Volume 4 Issue 4, April 2015,


Pages: 1743 - 1746


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How to Cite this Article?

Rijhal Mune, Shikha Pandey, "An Improved Approach to Forecast Equity Market Using Time Series Method", International Journal of Science and Research (IJSR), Volume 4 Issue 4, April 2015, pp. 1743-1746, https://www.ijsr.net/get_abstract.php?paper_id=SUB153399

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