IDEAS home Printed from https://ideas.repec.org/a/eee/finlet/v83y2025ics1544612325009274.html
   My bibliography  Save this article

The value of cross market volatility in improving the forecast accuracy of risk in the gold, the dollar and the oil futures markets

Author

Listed:
  • Awartani, Basel
  • Maghyereh, Aktham

Abstract

The gold, the oil and the dollar are related due to many factors. As a result, co-movement and volatility linkages may be established. These then can be exploited to improve risk prediction, and this is the main aim of this paper. We find that the dollar volatility improves risk forecasts of oil and gold. The predictability of the dollar, the gold and the oil is found to be period related though it is more pronounced during crisis periods. These results highlight the importance of cross market dependence in forecasting the volatility of related markets.

Suggested Citation

  • Awartani, Basel & Maghyereh, Aktham, 2025. "The value of cross market volatility in improving the forecast accuracy of risk in the gold, the dollar and the oil futures markets," Finance Research Letters, Elsevier, vol. 83(C).
  • Handle: RePEc:eee:finlet:v:83:y:2025:i:c:s1544612325009274
    DOI: 10.1016/j.frl.2025.107668
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1544612325009274
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.frl.2025.107668?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
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • C19 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Other
    • C44 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Operations Research; Statistical Decision Theory
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods

    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:eee:finlet:v:83:y:2025:i:c:s1544612325009274. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/frl .

    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.