IDEAS home Printed from https://ideas.repec.org/a/taf/applec/v53y2021i27p3193-3206.html
   My bibliography  Save this article

The relationship between the Covid-19 media coverage and the Environmental, Social and Governance leaders equity volatility: a time-frequency wavelet analysis

Author

Listed:
  • Zaghum Umar
  • Mariya Gubareva

Abstract

We apply wavelet analyses to study how the social media coverage of the Covid-19 pandemic influenced the volatility of ESG (Environmental, Social and Governance) leaders indices encompassing World, USA, Europe, China, and Emerging Markets. We document intervals of low, medium, and high coherence between the Media Coverage Index and the price moves of the ESG Leaders indices. The low coherence intervals indicate the diversification potential of ESG investments during a systemic pandemic such as Covid-19. We document differences in the pattern exhibited by various geographical indices evidencing their potential role for designing cross-geography hedge strategies.

Suggested Citation

  • Zaghum Umar & Mariya Gubareva, 2021. "The relationship between the Covid-19 media coverage and the Environmental, Social and Governance leaders equity volatility: a time-frequency wavelet analysis," Applied Economics, Taylor & Francis Journals, vol. 53(27), pages 3193-3206, June.
    • Handle: RePEc:taf:applec:v:53:y:2021:i:27:p:3193-3206
    DOI: 10.1080/00036846.2021.1877252
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/00036846.2021.1877252
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/00036846.2021.1877252?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

    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:taf:applec:v:53:y:2021:i:27:p:3193-3206. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/RAEC20 .

    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.