IDEAS home Printed from https://ideas.repec.org/a/eee/trapol/v170y2025icp51-57.html
   My bibliography  Save this article

Geopolitical risks and airlines stock return — Implications to the financial stability of European airlines

Author

Listed:
  • Cai, Yifei
  • Fu, Xiaowen
  • Zhang, Yahua

Abstract

This study utilizes a time-varying Granger causality test to investigate the causal relationship between geopolitical risks and stock return of main carriers in Europe. While the overall estimations from the entire dataset reveal limited evidence supporting causality between these variables, the rolling-window bootstrapping Granger causality test presents a dynamic pattern that a time-varying causality running from geopolitical risks to airline stock returns. However, within this fluctuating analytical framework, airline stock returns fail to reliably predict geopolitical risks. Finally, we offer significant policy implications to the financial stability of European airlines.

Suggested Citation

  • Cai, Yifei & Fu, Xiaowen & Zhang, Yahua, 2025. "Geopolitical risks and airlines stock return — Implications to the financial stability of European airlines," Transport Policy, Elsevier, vol. 170(C), pages 51-57.
  • Handle: RePEc:eee:trapol:v:170:y:2025:i:c:p:51-57
    DOI: 10.1016/j.tranpol.2025.05.001
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0967070X2500174X
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.tranpol.2025.05.001?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 search for a different version of it.

    More about this item

    Keywords

    Airlines stock returns; US–China tensions; Time-varying granger causality test; Rolling-window technique;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation
    • R41 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Transportation: Demand, Supply, and Congestion; Travel Time; Safety and Accidents; Transportation Noise

    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:trapol:v:170:y:2025:i:c:p:51-57. 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/wps/find/journaldescription.cws_home/30473/description#description .

    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.