IDEAS home Printed from https://ideas.repec.org/p/hal/journl/hal-04068670.html
   My bibliography  Save this paper

News-based sentiment: can it explain market performance before and after the Russia–Ukraine conflict?

Author

Listed:
  • Viet Hoang Le

    (SOURCE - SOUtenabilité et RésilienCE - UVSQ - Université de Versailles Saint-Quentin-en-Yvelines - IRD [France-Nord] - Institut de Recherche pour le Développement)

  • Hans Jörg von Mettenheim

    (IPAG Business School)

  • Stéphane Goutte

    (SOURCE - SOUtenabilité et RésilienCE - UVSQ - Université de Versailles Saint-Quentin-en-Yvelines - IRD [France-Nord] - Institut de Recherche pour le Développement)

  • Fei Liu

    (IPAG Business School)

Abstract

Purpose: The purpose of this paper is to analyze the market response of the aerospace and defense industry and the airline industry to the ongoing conflict between Ukraine and Russia based on the sentiments from war-related news articles over the period from October 2021 to June 2022. Design/methodology/approach: The study uses the news article database of Global Database of Events, Languages and Tone (GDELT) to create a new set of variables that reflect the news sentiment regarding war and conflict. By investigating the newly created sentiment variables in combination with traditional event study methodology, the authors seek to find out whether sentiment indicators can be helpful to rationalize the evolution of the different stock markets before and after the conflict. Findings: The authors' results point out a significant negative impact of the war on the airline market and a positive impact on the defense market. The authors' study also introduces a new set of war-related news-based sentiment variables that is significant to explain the evolution of the two markets before and after the war. The relationships between this study's new set of variables and the performance of the two markets are also proven to be significantly impacted by the invasion. Originality/value: To the best of the authors' knowledge, this is the first research to use the news sentiment related to the topic of war and conflict to explain the market movement of different industries during the Ukraine invasion.

Suggested Citation

  • Viet Hoang Le & Hans Jörg von Mettenheim & Stéphane Goutte & Fei Liu, 2023. "News-based sentiment: can it explain market performance before and after the Russia–Ukraine conflict?," Post-Print hal-04068670, HAL.
  • Handle: RePEc:hal:journl:hal-04068670
    DOI: 10.1108/JRF-06-2022-0168
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Other versions of this item:

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Abakah, Emmanuel Joel Aikins & Abdullah, Mohammad & Yousaf, Imran & Kumar Tiwari, Aviral & Li, Yanshuang, 2024. "Economic sanctions sentiment and global stock markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 91(C).
    2. Mirza, Nawazish & Umar, Muhammad & Mangafic, Jasmina, 2023. "Covid-19 vaccines and investment performance: Evidence from equity funds in European Union," Finance Research Letters, Elsevier, vol. 53(C).
    3. Bouri, Elie & Quinn, Barry & Sheenan, Lisa & Tang, Yayan, 2024. "Investigating extreme linkage topology in the aerospace and defence industry," International Review of Financial Analysis, Elsevier, vol. 93(C).

    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:hal:journl:hal-04068670. 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: CCSD (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .

    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.