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ACADEMICIA: AN INTERNATIONAL MULTIDISCIPLINARY RESEARCH JOURNAL
Year : 2021, Volume : 11, Issue : 2
First page : ( 203) Last page : ( 213)
Online ISSN : 2249-7137.
Article DOI : 10.5958/2249-7137.2021.00341.4

Forecasting of bse sensex using auto regressive integrated moving average (arima) method

Dr. Ramesh M.1, Dr. Mani C.2, Dr. Reddy B. Hari Mallikarjuna3, Dr. Venkataramanaiah M.4

1Dept. of Statistics, S.V University, Tirupati, Andhra Pradesh, India Email id: ramesh14889@gmail.com

2Dept. of Statistics, S.G.S Arts college, Tirupati, Andhra Pradesh, India

3Dept. of Statistics, S.V University, Tirupati, Andhra Pradesh, India

4Retired Prof., S.V University, Tirupati, Andhra Pradesh, India

Online published on 3 April, 2021.

Abstract

Forecasting involves the preparation of a statement concerning unknown events, which might occur in future. The main purpose of making forecast is to gain knowledge about uncertain events that are important to our present decisions. In this study, we discussed about Auto Regressive Integrated Moving Average (ARIMA) method. By using this method, we forecast the BSE SENSEX Closing point value and then compare the method with the help of RMSE measure.

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Keywords

Auto Regressive Integrated Moving Average (ARIMA), Bombay Stock Exchange (BSE) and Root Mean Square Error (RMSE).

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