IDEAS home Printed from https://ideas.repec.org/a/taf/hbhfxx/v24y2023i3p276-289.html
   My bibliography  Save this article

The Impact of Investor Sentiment on Bitcoin Returns and Conditional Volatilities during the Era of Covid-19

Author

Listed:
  • Derya Güler

Abstract

This paper studies the impact of investor sentiment on the Bitcoin returns and conditional volatility taking into account the Covid-19 outbreak by using different investor sentiment proxies and by employing the EGARCH model. Estimation results show that investor sentiment has a positive impact on the Bitcoin returns and their volatility, especially after the Covid-19 outbreak. The VAR model is employed to investigate whether investor sentiment and Bitcoin returns are related in a dynamic setting and to make distinguish between rational and irrational investor sentiments. The results from the VAR model show that both rational and irrational investor sentiments have an impact on Bitcoin returns indicating that the Bitcoin market is also driven by emotions and noise traders have an impact on the data generating process of Bitcoin returns. The positive impact of investor sentiment can be attributed to the fear of missing out (FOMO) behavior of speculative and irrational investors.

Suggested Citation

  • Derya Güler, 2023. "The Impact of Investor Sentiment on Bitcoin Returns and Conditional Volatilities during the Era of Covid-19," Journal of Behavioral Finance, Taylor & Francis Journals, vol. 24(3), pages 276-289, July.
  • Handle: RePEc:taf:hbhfxx:v:24:y:2023:i:3:p:276-289
    DOI: 10.1080/15427560.2021.1975285
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/15427560.2021.1975285
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/15427560.2021.1975285?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:hbhfxx:v:24:y:2023:i:3:p:276-289. 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/hbhf .

    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.