IDEAS home Printed from https://ideas.repec.org/a/eee/riibaf/v69y2024ics0275531924000679.html
   My bibliography  Save this article

Frequency volatility connectedness and portfolio hedging of U.S. energy commodities

Author

Listed:
  • Kočenda, Evžen
  • Moravcová, Michala

Abstract

We analyze (frequency) connectedness and portfolio hedging among U.S. energy commodities from 1997 to 2023. We show that the total connectedness increased over time, likely due to the increasing financialization of energy commodities. It fluctuates with respect to (i) different investment horizons and (ii) different periods of distress. The early stage of the Russia-Ukraine war is associated with the highest systemic risk, followed by the Covid-19 pandemic and global financial crisis (GFC). In the frequency domain, the results imply that investors perceive the greatest risk at longer investment horizons, particularly during the three major distress periods. We also show that despite it is difficult and more costly to diversify an energy portfolio during distress periods, adding natural gas seems to bring non-marginal diversification benefits.

Suggested Citation

  • Kočenda, Evžen & Moravcová, Michala, 2024. "Frequency volatility connectedness and portfolio hedging of U.S. energy commodities," Research in International Business and Finance, Elsevier, vol. 69(C).
    • Handle: RePEc:eee:riibaf:v:69:y:2024:i:c:s0275531924000679
    DOI: 10.1016/j.ribaf.2024.102274
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0275531924000679
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.ribaf.2024.102274?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 search for a different version of it.

    More about this item

    Keywords

    connectedness; volatility spillovers; frequency decomposition; portfolio weights and hedge ratios; energy commodities; distress;
    All these keywords.

    JEL classification:

    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
    • F65 - International Economics - - Economic Impacts of Globalization - - - Finance
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
    • Q34 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Nonrenewable Resources and Conservation - - - Natural Resources and Domestic and International Conflicts
    • Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices

    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:riibaf:v:69:y:2024:i:c:s0275531924000679. 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/ribaf .

    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.