IDEAS home Printed from https://ideas.repec.org/a/ags/saeasj/359066.html
   My bibliography  Save this article

Retail Price Volatility: The Case of Coconut in Sri Lanka

Author

Listed:
  • Dilrukshi, K.B.M.T.
  • Jayalath, K.V.V.N.
  • Dissanayake, S.N.
  • Perera, S.M.S.D.

Abstract

This study attempted to analyze the volatility of the retail price of coconuts using monthly time series data from January 1991 to July 2020 and forecast the same for July 2020 to June 2021. The analysis found the Generalized Autoregressive Conditional Heteroscedasticity (GARCH) (1,1) model as the best fit model. Coefficients of past values of the error term and conditional variance are positive and significant indicating positive impacts on the prevailing price volatility. Coefficients of lagged values of conditional variance and error terms are 0.771 and 0.179 respectively. The study concludes that the volatility shocks persist, and the model is appropriate to forecast the retail price of coconuts in Sri Lanka.

Suggested Citation

  • Dilrukshi, K.B.M.T. & Jayalath, K.V.V.N. & Dissanayake, S.N. & Perera, S.M.S.D., 2022. "Retail Price Volatility: The Case of Coconut in Sri Lanka," Sri Lankan Journal of Agricultural Economics, Sri Lanka Agricultural Economics Association (SAEA), vol. 23(01), December.
    • Handle: RePEc:ags:saeasj:359066
    DOI: 10.22004/ag.econ.359066
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/359066/files/Retail.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.359066?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
    ---><---

    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:saeasj:359066. 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://edirc.repec.org/data/slaeaea.html .

    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.