Potato Journal
  • Year: 2007
  • Volume: 34
  • Issue: 1 and 2

Potato price forecasting using seasonal arima approach

  • Author:
  • K.P. Chandran, N.K. Pandey1
  • Total Page Count: 2
  • Page Number: 137 to 138

1Central Potato Research Institute, Shimla-171 001, HP, India.

Abstract

Potato wholesale prices of Delhi market were analysed using univariate seasonal ARIMA model. Seasonal indices calculated showed that generally the price is low from December to May and it picks up from June, and reaches the maximum in October. Based on the Shwartz Bayes Criterion (SBC) and Akaike Information Criterion (AIC), the estimated best model was ARIMA (1,1,1) X (1,0,0)12. Short term forecasts based on this model were close to the observed values.