IDEAS home Printed from https://ideas.repec.org/a/ebl/ecbull/eb-21-01085.html
   My bibliography  Save this article

Examining the Dynamic Asset Market Linkages under the COVID-19 Global Pandemic

Author

Listed:
  • Akihiko Noda

    (School of Commerce, Meiji University)

Abstract

This study examines dynamic asset market linkages during the global COVID-19 pandemic based on market efficiency in the sense of Fama (1970). In particular, we estimate the joint degree of market efficiency by applying a generalized least squares (GLS)-based time-varying autoregressive (TV-VAR) model of Ito et al. (2014, 2017). The results show that (1) the joint degree of market efficiency changes widely over time, consistent with the adaptive market hypothesis of Lo's (2004), (2) the global COVID-19 pandemic may have eliminated arbitrage and improved market efficiency through enhanced linkages among asset markets, and (3) market efficiency has continued to decline due to the Bitcoin bubble that emerged at the end of 2020.

Suggested Citation

  • Akihiko Noda, 2022. "Examining the Dynamic Asset Market Linkages under the COVID-19 Global Pandemic," Economics Bulletin, AccessEcon, vol. 42(2), pages 653-661.
    • Handle: RePEc:ebl:ecbull:eb-21-01085
    as

    Download full text from publisher

    File URL: http://www.accessecon.com/Pubs/EB/2022/Volume42/EB-22-V42-I2-P54.pdf
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    COVID-19; Asset Market Linkages; Adaptive Market Hypothesis; Efficient Market Hypothesis; GLS-Based Time-Varying Model Approach.;
    All these keywords.

    JEL classification:

    • G1 - Financial Economics - - General Financial Markets

    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:ebl:ecbull:eb-21-01085. 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: John P. Conley (email available below). General contact details of provider: .

    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.