IDEAS home Printed from https://ideas.repec.org/a/eee/eneeco/v148y2025ics0140988325004104.html
   My bibliography  Save this article

Seasonality and spikes in the natural gas market

Author

Listed:
  • Rotondi, Francesco

Abstract

In this paper we propose and examine an arbitrage-free model for the natural gas spot price and its convenience yield. Performing an empirical analysis of the European natural gas spot and futures markets, we observe that log spot prices are non-stationary, exhibit mild seasonality, and display almost continuous behaviour. In contrast, the implied convenience yield is stationary, shows strong seasonality, and experiences frequent spikes. Motivated by this evidence, we model the spot convenience yield as a combination of a deterministic seasonal component and a mean-reverting stochastic process with jumps. By assuming an appropriate distribution for the jump component, we derive a closed-form expression for futures prices. Our model demonstrates an excellent fit to European data, both before and after the COVID-19 pandemic and the Russia–Ukraine war.

Suggested Citation

  • Rotondi, Francesco, 2025. "Seasonality and spikes in the natural gas market," Energy Economics, Elsevier, vol. 148(C).
  • Handle: RePEc:eee:eneeco:v:148:y:2025:i:c:s0140988325004104
    DOI: 10.1016/j.eneco.2025.108586
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0140988325004104
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.eneco.2025.108586?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:

    • G13 - Financial Economics - - General Financial Markets - - - Contingent Pricing; Futures Pricing
    • Q40 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - General
    • C60 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - General

    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:eneeco:v:148:y:2025:i:c:s0140988325004104. 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/eneco .

    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.