IDEAS home Printed from https://ideas.repec.org/a/eee/ecolet/v267y2026ics0165176526003095.html

Short-term reversal persists globally—If properly measured

Author

Listed:
  • Stosik, Jan
  • Zaremba, Adam

Abstract

Short-term reversal appears to have weakened in international equity markets because standard measures mix firm-specific and industry-wide returns. When evaluated relative to industry peers, the reversal persists. Using data from 64 countries, the conventional strategy delivers negligible returns, whereas an industry-adjusted strategy earns 0.53% per month with a Sharpe ratio of 0.74. The effect reflects the reversal of firm-specific shocks masked by persistent industry components. A regret-based signal captures the same industry-relative variation, adding no incremental return. Reversal did not disappear; it was mismeasured.

Suggested Citation

  • Stosik, Jan & Zaremba, Adam, 2026. "Short-term reversal persists globally—If properly measured," Economics Letters, Elsevier, vol. 267(C).
  • Handle: RePEc:eee:ecolet:v:267:y:2026:i:c:s0165176526003095
    DOI: 10.1016/j.econlet.2026.113113
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0165176526003095
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.econlet.2026.113113?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:

    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • C55 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Large Data Sets: Modeling and Analysis

    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:ecolet:v:267:y:2026:i:c:s0165176526003095. 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/ecolet .

    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.