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