IDEAS home Printed from https://ideas.repec.org/a/eee/finana/v90y2023ics1057521923004428.html
   My bibliography  Save this article

The impact of COVID-19 on the relative market efficiency and forecasting ability of credit derivative and equity markets

Author

Listed:
  • Procasky, William J.
  • Yin, Anwen

Abstract

While there has been a significant amount of research related to COVID-19’s impact on financial markets, none has addressed the potential change in relative market efficiency and associated forecasting power of credit and equity markets. Accordingly, we examine the impact of COVID-19 on previously observed predictive power of cross-market informational flow in the high yield CDS and equity markets. Our analysis reveals that, a significant structural break occurred with the onset of COVID-19 in which both markets exhibited flow patterns distinct from those observed in the past. This indicates that investors reacted to the pandemic and new information coming to market differently than in the past. Moreover, we empirically link the structural break to governmental measures enacted to stabilize financial markets and economies. Finally, we observe that the break was more severe in the equity than CDS market, a finding consistent with the CDS market having an overall informational advantage.

Suggested Citation

  • Procasky, William J. & Yin, Anwen, 2023. "The impact of COVID-19 on the relative market efficiency and forecasting ability of credit derivative and equity markets," International Review of Financial Analysis, Elsevier, vol. 90(C).
  • Handle: RePEc:eee:finana:v:90:y:2023:i:c:s1057521923004428
    DOI: 10.1016/j.irfa.2023.102926
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1057521923004428
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.irfa.2023.102926?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

    COVID-19; Market efficiency; Informational flow; Predictive power; Structural break; CDS indices;
    All these keywords.

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation

    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:finana:v:90:y:2023:i:c:s1057521923004428. 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/locate/inca/620166 .

    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.