IDEAS home Printed from https://ideas.repec.org/a/seg/012016/v5y2020i1p1-13.html
   My bibliography  Save this article

Fuzzy Auto-Regressive Integrated Moving Average (FARIMA) Model for Forecasting the Gold Prices

Author

Listed:
  • Sahed Abdelkader

    (Department of Economics Sciences, the University center of Maghnia, Algeria)

  • Mekidiche Mohammeed

    (Department of Economics Sciences, the University center of Maghnia, Algeria)

  • Kahoui Hacen

    (Department of Economics Sciences, the University center of Maghnia, Algeria)

Abstract

In this study, the Fuzzy Auto-Regressive Integrated Moving Average (FARIMA) Model has been used to predict gold prices, The main objective was to estimate the fractional parameters by using the fuzzy regression method of TANAKA. The prediction accuracy of the FARIMA method was measured and compared with the ARIMA method using mean square error (MSE) and mean square error (RMSE) for the time period from 2010 to 2018. Gold prices were also predicted using the two methods for the year 2019. The research concluded that FARIMA models are more efficient than ARIMA models in predicting gold prices.

Suggested Citation

  • Sahed Abdelkader & Mekidiche Mohammeed & Kahoui Hacen, 2020. "Fuzzy Auto-Regressive Integrated Moving Average (FARIMA) Model for Forecasting the Gold Prices," Journal of Smart Economic Growth, , vol. 5(1), pages 1-13, May.
    • Handle: RePEc:seg:012016:v:5:y:2020:i:1:p:1-13
    as

    Download full text from publisher

    File URL: https://jseg.ro/index.php/jseg/article/view/90/77
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    Gold Prices; Fuzzy Set; ARIMA; FARIMA;
    All these 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:seg:012016:v:5:y:2020:i:1:p:1-13. 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: Radu Lixandroiu (email available below). General contact details of provider: .

    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.