IDEAS home Printed from https://ideas.repec.org/a/ags/aareaj/283210.html
   My bibliography  Save this article

Convenience yield and the theory of storage: applying an option-based approach

Author

Listed:
  • Omura, Akihiro
  • West, Jason

Abstract

We propose that an options-based approach is a superior alternative to the traditional cost-of-carry method to model both the behaviour of convenience yields and the commodity price responses to changes in inventory levels. This approach is shown to be more robust and avoids the simplifying assumptions embedded in cost-of-carry valuation which fully accounts for the non-negativity constraint on inventory. Unlike the cost-of-carry approach, the options-based approach does not treat the convenience yield as an exogenous factor. This offers a more natural measure of implied convenience yields in commodity trading strategies. We test the relationship between convenience yields and inventory levels for a number of liquidly traded base metals using both methods. Our results show that the relationship between convenience yields and inventory levels is strongly defined under the options-based approach in line with market beliefs. This result is consistent with other studies that have used the optionsbased approach in other nonmetals commodity markets.

Suggested Citation

  • Omura, Akihiro & West, Jason, 2015. "Convenience yield and the theory of storage: applying an option-based approach," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 59(3), July.
  • Handle: RePEc:ags:aareaj:283210
    DOI: 10.22004/ag.econ.283210
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/283210/files/ajar12092.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.283210?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
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Omura, Akihiro & Li, Bin & Chung, Richard & Todorova, Neda, 2018. "Convenience yield, realised volatility and jumps: Evidence from non-ferrous metals," Economic Modelling, Elsevier, vol. 70(C), pages 496-510.
    2. Tao Xiong & Miao Li & Jia Cao, 2023. "Do Futures Prices Help Forecast Spot Prices? Evidence from China’s New Live Hog Futures," Agriculture, MDPI, vol. 13(9), pages 1-16, August.
    3. Considine, Jennifer & Galkin, Philipp & Aldayel, Abdullah, 2022. "Inventories and the term structure of oil prices: A complex relationship," Resources Policy, Elsevier, vol. 77(C).

    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:aareaj:283210. 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/aaresea.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.