IDEAS home Printed from https://ideas.repec.org/a/ags/injagm/399656.html

Lasalgaon onion market price forecasting-An application of arima model

Author

Listed:
  • Areef, M.
  • Rajeswar, S.
  • Vani, N.
  • Naidu,G. Mohan

Abstract

The present study used autoregressive integrated moving average (ARIMA) method to estimate the Lasalgaon onion market future prices using time series data from 2003 to 2017. The adequacy of the model was judged by maximum R-Square (75.0), minimum MAPE (30.93), minimum RMSE (440.93) and minimum MAE (269.57). The results showed that the model (0, 1, 1) (2, 1, 1) was found to be the best to forecast onion prices in Lasalgaon market. The forecasted prices of onion would be ranging from Rs. 2879 to Rs. 2748 per quintal for the months from January 2018 to June 2018. Onion future price estimation useful to the farmers for total area allocation under onion crop and to find good markets to sell their produce at remunerative prices.

Suggested Citation

  • Areef, M. & Rajeswar, S. & Vani, N. & Naidu,G. Mohan, 2015. "Lasalgaon onion market price forecasting-An application of arima model," Indian Journal of Agricultural Marketing, Indian Society of Agricultural Marketing, vol. 33(3).
    • Handle: RePEc:ags:injagm:399656
    DOI: 10.22004/ag.econ.399656
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/399656/files/IJAM%2033%20%283%29%20-%20%20LASALGAON%20ONION%20MARKET%20PRICE.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.399656?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Keywords

    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ags:injagm:399656. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: AgEcon Search (email available below). General contact details of provider: https://agrilmktg.in/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.