IDEAS home Printed from https://ideas.repec.org/a/wsi/afexxx/v16y2021i02ns2010495221500081.html
   My bibliography  Save this article

Uncertainty Related To Infectious Diseases And Forecastability Of The Realized Volatility Of Us Treasury Securities

Author

Listed:
  • SISA SHIBA

    (Department of Economics, University of Pretoria, Private Bag X20, Hatfield 0028, South Africa)

  • RANGAN GUPTA

    (Department of Economics, University of Pretoria, Private Bag X20, Hatfield 0028, South Africa)

Abstract

This paper aims to examine the predictive power of the daily newspaper-based index uncertainty related to infectious diseases (EMVID) for the US Treasury securities’ realized volatility (RV) using the heterogonous autoregressive volatility (HAV-RV) model. In our out-of-sample forecast, we find strong significant evidence on the role of the EMVID index in forecasting the volatility of the US Treasury securities in the short-, medium- and long-run horizons except for the US 2-Year Treasury-Note (T-Note) Futures. Assessing the EMVID index role during the COVID-19 episode, we find that even in this short period, the index role in predicting the US Treasury securities is highly significant. These findings have important implications for portfolio managers and investors in times of unprecedented levels of uncertainty resulting from epidemic and pandemic diseases.

Suggested Citation

  • Sisa Shiba & Rangan Gupta, 2021. "Uncertainty Related To Infectious Diseases And Forecastability Of The Realized Volatility Of Us Treasury Securities," Annals of Financial Economics (AFE), World Scientific Publishing Co. Pte. Ltd., vol. 16(02), pages 1-12, June.
  • Handle: RePEc:wsi:afexxx:v:16:y:2021:i:02:n:s2010495221500081
    DOI: 10.1142/S2010495221500081
    as

    Download full text from publisher

    File URL: http://www.worldscientific.com/doi/abs/10.1142/S2010495221500081
    Download Restriction: Access to full text is restricted to subscribers

    File URL: https://libkey.io/10.1142/S2010495221500081?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 look for a different version below or search for a different version of it.

    Other versions of this item:

    More about this item

    Keywords

    Uncertainty; infectious diseases; COVID-19; US treasury securities; realized volatility; forecasting;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • D8 - Microeconomics - - Information, Knowledge, and Uncertainty
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates

    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:wsi:afexxx:v:16:y:2021:i:02:n:s2010495221500081. 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: Tai Tone Lim (email available below). General contact details of provider: http://www.worldscinet.com/afe/afe.shtml .

    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.