Journal of Food Legumes
SCOPUS
  • Year: 2014
  • Volume: 27
  • Issue: 2

Use of ARIMA modeling for forecasting green gram prices for Maharashtra

  • Author:
  • D.J. Chaudhari, A.S. Tingre
  • Total Page Count: 4
  • Page Number: 136 to 139

Department of Agricultural Economics & Statistics, Dr. Panjabrao Deshmukh Krishi Vidyapeeth, Akola-444 104, India

*E-mail: datta1616@rediffmail.com

Online published on 30 July, 2014.

Abstract

The present study aimed to forecast the Green gram prices for Maharashtra by using the time series data of monthly average prices for the period from January 2001 to September 2012 of Akola market. To forecast the Green gram prices ARIMA models introduced by Box and Jenkins (1970) were used. To test the reliability of model R2, Mean Absolute Percentage Error (MAPE), and Bayesian Information Criterion (BIC) were used. Model parameters were estimated using the Statistical Package for Social Sciences (SPSS). Among the different models lowest BIC value worked out to 1989 for ARIMA (0,1,0) which was the best fitted model. Based on model results the estimated Green gram prices for Maharashtra would increasing from Rs. 4646 per quintal during October 2012 to Rs. 4729 per quintal during February 2013.

Keywords

ACF, ARIMA, Auto regression, Box and Jenkins, forecasting, moving average, PACF