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Price forecasting of agricultural products using arima models

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  • Dutta, Shibanjan
  • Maiti, Suraj

Abstract

The study here considers the comparsson of actual market price of onion and potato and the forecasted prcce of those to see how much the forecasting tools help to identify real iffe market product prices. In this study we consider the prices from the Azadpur mandi in Delhi. The study also tries to identify the best method to find out the future forecast of market price. For the analysis the data have been aggregated into weekly eevel and forecasting have been done for the same. For potato prices, ARIMA (3,1,0) and for onion prices, ARIMA (1,1,1) seem to be the best model of forecasting the future prices.

Suggested Citation

  • Dutta, Shibanjan & Maiti, Suraj, 2021. "Price forecasting of agricultural products using arima models," Indian Journal of Agricultural Marketing, Indian Society of Agricultural Marketing, vol. 35(2).
    • Handle: RePEc:ags:injagm:399773
    DOI: 10.22004/ag.econ.399773
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    References listed on IDEAS

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    1. Christophe Gouel, 2012. "Agricultural Price Instability: A Survey Of Competing Explanations And Remedies," Journal of Economic Surveys, Wiley Blackwell, vol. 26(1), pages 129-156, February.
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