IDEAS home Printed from https://ideas.repec.org/a/eee/finlet/v101y2026ics1544612326005581.html

Stock market responses to conditional tariff threats: Evidence from the Greenland tariffs

Author

Listed:
  • Suwanprasert, Wisarut

Abstract

This paper examines how equity markets respond to targeted and conditional tariff threats. I study the announcement on January 17, 2026, in which the U.S. administration threatened escalating tariffs on imports from eight NATO countries unless a geopolitical demand — the purchase of Greenland — was met. The policy was highly unusual in that tariffs were explicitly tied to a non-trade objective and selectively applied to political and military allies of the United States. Using an event-study design and daily stock market indices, I find that abnormal returns (AR) in targeted countries decline by approximately 1.5 percentage points on the first trading day relative to non-targeted countries, resulting in cumulative abnormal returns (CAR) of about −1.6 percentage points over a three-day window. By focusing on a narrowly targeted, politically conditioned tariff announcement, this paper contributes to the literature on trade policy and asset prices by identifying the market valuation of such threats.

Suggested Citation

  • Suwanprasert, Wisarut, 2026. "Stock market responses to conditional tariff threats: Evidence from the Greenland tariffs," Finance Research Letters, Elsevier, vol. 101(C).
  • Handle: RePEc:eee:finlet:v:101:y:2026:i:c:s1544612326005581
    DOI: 10.1016/j.frl.2026.110029
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1544612326005581
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.frl.2026.110029?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:101:y:2026:i:c:s1544612326005581. 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.