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


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Research Paper | Statistics | India | Volume 10 Issue 4, April 2021


Stock Market Prediction using Auto Regressive Integrated Moving Averages (ARIMA)

K Murali | Sk Nafeez Umar | D Chandrakesavulu Naidu | MP Reddeppa Reddy | C Mani [3] | B Ramana Murthy


Abstract: Stock market prediction plays an important role to decide investment in markets over the time period. The Auto Regressive Integrated Moving Averages (ARIMA) have been explored for time series prediction. This paper explores the process and method of building Stock predictive models is using ARIMA model. The Stock market indices data of Bombay Stock Exchange (BSE) is used in building stock predictive model. The Results revealed that the ARIMA model has a robust for particularly short term prediction and endorsed with current techniques for Stock Market prediction. The study made a few observations which may help the investors and model builders to understand better about the stock market analysis.


Keywords: Stock market prediction, ARIMA, Short term prediction


Edition: Volume 10 Issue 4, April 2021,


Pages: 379 - 382


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