IDEAS home Printed from https://ideas.repec.org/a/bla/eufman/v26y2020i2p261-287.html
   My bibliography  Save this article

News sentiment and sovereign credit risk

Author

Listed:
  • Lara Cathcart
  • Nina M. Gotthelf
  • Matthias Uhl
  • Yining Shi

Abstract

We explore the impact of media content on sovereign credit risk. Our measure of media tone is extracted from the Thomson Reuters News Analytics database. As a proxy for sovereign credit risk we consider credit default swap (CDS) spreads, which are decomposed into their risk premium and default risk components. We find that media tone explains and predicts CDS returns and is a mixture of noise and information. Its effect on risk premium induces a temporary change in investors’ appetite for credit risk exposure, whereas its impact on the default component leads to reassessments of the fundamentals of sovereign economies.

Suggested Citation

  • Lara Cathcart & Nina M. Gotthelf & Matthias Uhl & Yining Shi, 2020. "News sentiment and sovereign credit risk," European Financial Management, European Financial Management Association, vol. 26(2), pages 261-287, March.
    • Handle: RePEc:bla:eufman:v:26:y:2020:i:2:p:261-287
    DOI: 10.1111/eufm.12219
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/eufm.12219
    Download Restriction: no
    File URL: https://libkey.io/10.1111/eufm.12219?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
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Wang, Ruolin & Basu, Anup & Clements, Adam, 2023. "Are credit default swaps still a sideshow? How information flow between equity and CDS markets has changed since the financial crisis," Global Finance Journal, Elsevier, vol. 57(C).
    2. Haddou, Samira, 2024. "Determinants of CDS in core and peripheral European countries: A comparative study during crisis and calm periods," The North American Journal of Economics and Finance, Elsevier, vol. 71(C).
    3. Narayan, Paresh Kumar & Sharma, Susan Sunila, 2023. "Understanding mispricing in the travel and leisure industry," International Review of Financial Analysis, Elsevier, vol. 90(C).
    4. Hoang, Daniel & Wiegratz, Kevin, 2022. "Machine learning methods in finance: Recent applications and prospects," Working Paper Series in Economics 158, Karlsruhe Institute of Technology (KIT), Department of Economics and Management.
    5. M'beirick, Abdallahi & Haddou, Samira, 2024. "The asymmetric response of sovereign credit default swaps spreads to risk aversion, investor sentiment and monetary policy shocks," International Review of Economics & Finance, Elsevier, vol. 93(PB), pages 244-272.
    6. Durand, Robert B. & Khuu, Joyce & Smales, Lee A., 2023. "Lost in translation. When sentiment metrics for one market are derived from two different languages," Journal of Behavioral and Experimental Finance, Elsevier, vol. 39(C).
    7. Bannigidadmath, Deepa & Narayan, Paresh Kumar, 2021. "Economic news and the cross-section of commodity futures returns," Journal of Behavioral and Experimental Finance, Elsevier, vol. 31(C).
    8. Narayan, Paresh Kumar & Bannigidadmath, Deepa, 2021. "Financial news and CDS spreads," Journal of Behavioral and Experimental Finance, Elsevier, vol. 29(C).
    9. Giulio Gariano & Gianluca Viggiano, 2022. "Press news and social media in credit risk assessment: the experience of Banca d’Italia’s In-house Credit Assessment System," Temi di discussione (Economic working papers) 24, Bank of Italy, Economic Research and International Relations Area.

    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:bla:eufman:v:26:y:2020:i:2:p:261-287. 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: Wiley Content Delivery (email available below). General contact details of provider: https://edirc.repec.org/data/efmaaea.html .

    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.