POTATO PRICE FORECASTING USING SEASONAL ARIMA APPROACH


618 / 737

Authors

  • K P Chandran
  • N K Pandey

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.

Downloads

Download data is not yet available.

Author Biography

  • N K Pandey
    Central Potato Research Institute, Shimla-171 001, HP, India

Downloads

Issue

Vol. 34 No. 1 - 2 (2007)

Section

Articles

License

The copyright of the articles published in Potato Journal is vested with the Indian Council of Agricultural Research, which reserves the right to enter into any agreement with any organization in India or abroad, for reprography, photocopying, storage and dissemination of information. The Council has no objection to using the material, provided the information is not being utilized for commercial purposes and wherever the information is being used, proper credit is given to ICAR.

How to Cite

Chandran, K. P., & Pandey, N. K. (2013). POTATO PRICE FORECASTING USING SEASONAL ARIMA APPROACH. Potato Journal, 34(1 - 2). https://epubs.icar.org.in/index.php/PotatoJ/article/view/33141