IDEAS home Printed from https://ideas.repec.org/a/eee/finlet/v106y2026ics1544612326008287.html

Option positions, non-momentum trading, and Bitcoin futures returns

Author

Listed:
  • Shen, Jiayu
  • Li, Youwei
  • Luo, Xingguo

Abstract

Do option positions contain incremental information beyond futures positions? If so, where does the information come from? Using weekly CFTC Commitment of Traders data for CME Bitcoin derivatives, we show that asset managers’ option positions selectively predict the second-week-ahead weekly futures return. The predictive content is concentrated in the non-momentum component of option-position changes, indicating residual positioning pressure rather than return-chasing behavior. Granger-causality tests reveal that futures returns lead asset-manager option positions, confirming that the signal reflects response to return shocks rather than causal price impact. We further conduct mechanism and robustness analyses, including alternative return definitions, out-of-sample forecasts, and state-dependent tests, which show the effect is associated with high-downside-risk states. These findings highlight the informational role of regulated trader categories in cryptocurrency derivatives and provide new evidence on trader heterogeneity, short-horizon predictability, and the selective predictive content of non-momentum option trades.

Suggested Citation

  • Shen, Jiayu & Li, Youwei & Luo, Xingguo, 2026. "Option positions, non-momentum trading, and Bitcoin futures returns," Finance Research Letters, Elsevier, vol. 106(C).
  • Handle: RePEc:eee:finlet:v:106:y:2026:i:c:s1544612326008287
    DOI: 10.1016/j.frl.2026.110300
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1544612326008287
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.frl.2026.110300?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

    ;
    ;
    ;

    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:106:y:2026:i:c:s1544612326008287. 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.