IDEAS home Printed from https://ideas.repec.org/a/wly/jforec/v44y2025i3p960-977.html
   My bibliography  Save this article

Explaining and Predicting Momentum Performance Shifts Across Time and Sectors

Author

Listed:
  • Konstantinos Mamais
  • Dimitrios Thomakos
  • Prodromos Vlamis

Abstract

In this paper, we analyze the momentum of the NASDAQ and its major sectoral components across an extended period of key economic events, which include recessions, expansions, wars, financial crises, and the Covid‐19 health crisis. We seek to explain how momentum works as an investment strategy during different economic conditions and whether understanding how it works in‐sample can contribute to the out‐of‐sample forecasting of future financial performance. The novelty of our approach rests in the identification and exploitation of momentum characteristics that lead to the ranking of sectors depending on the period of economic activity that we are in. These rankings are tested and found to be robust for the in‐sample and the out‐of‐sample forecasting of financial performance, thus leading us to surmise that one can use the identification of past economic conditions to extrapolate for investing accordingly in the future. Our results indicate that this suggested approach works very well in practice and is, thus, a viable and fully interpretable investment strategy.

Suggested Citation

  • Konstantinos Mamais & Dimitrios Thomakos & Prodromos Vlamis, 2025. "Explaining and Predicting Momentum Performance Shifts Across Time and Sectors," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 44(3), pages 960-977, April.
  • Handle: RePEc:wly:jforec:v:44:y:2025:i:3:p:960-977
    DOI: 10.1002/for.3232
    as

    Download full text from publisher

    File URL: https://doi.org/10.1002/for.3232
    Download Restriction: no

    File URL: https://libkey.io/10.1002/for.3232?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
    ---><---

    More about this item

    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:wly:jforec:v:44:y:2025:i:3:p:960-977. 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: Wiley Content Delivery (email available below). General contact details of provider: http://www3.interscience.wiley.com/cgi-bin/jhome/2966 .

    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.