AN APPLICATION OF TIME SERIES ARIMA FORECASTING MODEL FOR PREDICTING SUGARCANE PRODUCTION IN INDIA

Manoj Kumar and Madhu Anand
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Manoj Kumar: Victoria University College, Yangon, Myanmar
Madhu Anand: Agra University, UP, India

Studies in Business and Economics, 2014, vol. 9, issue 1, 81-94

Abstract: A time series modeling approach (Box-Jenkins’ ARIMA model) has been used in this study to forecast sugarcane production in India. The order of the best ARIMA model was found to be (2,1,0). Further, efforts were made to forecast, as accurate as possible, the future sugarcane production for a period upto five years by fitting ARIMA(2,1,0) model to our time series data. The forecast results have shown that the annual sugarcane production will grow in 2013, then will take a sharp dip in 2014 and in subsequent years 2015 through 2017, it will continuously grow with an average growth rate of approximately 3% year-on-year.

Keywords: forecasting; time series modeling; ARIMA; sugarcane production; India (search for similar items in EconPapers)
Date: 2014
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Citations: View citations in EconPapers (1)

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