IDEAS home Printed from https://ideas.repec.org/a/bla/ecnote/v44y2015i2p361-408.html
   My bibliography  Save this article

The Damaging Bias of Sovereign Ratings

Author

Listed:
  • Daniel R. Vernazza
  • Erik F. Nielsen

Abstract

type="main" xml:lang="en"> Sovereign credit ratings guide over USD 50 trillion in outstanding sovereign debt and set the ceiling for most corporate credit ratings. The credit rating agencies assign ratings based on a combination of objective fundamentals and the subjective judgment of their in-house rating committees. In this paper we decompose the sovereign ratings of the ‘Big Three’ rating agencies into an ‘objective’ component (the fitted value from an OLS regression of ratings on 10 explanatory variables) and a ‘subjective’ component (the corresponding residuals) using data for advanced and emerging economies over the period 1996–2013. We then examine the explanatory power of the two components for predicting sovereign default. Our main finding is that, while the ‘objective’ component has explanatory power to predict defaults both in the short and long-term, the ‘subjective’ component does not help to predict defaults of a horizon of 1 year or more. In particular, analysing the probability of default within 3 years, we find the ‘subjective’ component is biasing default predictions in the wrong direction with—at times—dramatic consequences. This is the ‘damaging bias’ of sovereign ratings. The biggest casualty of this was the Eurozone periphery, which was downgraded far too heavily during the 2009–2011 sovereign debt crisis as the rating committees repeatedly overruled the signal coming from fundamentals. In light of our findings, we suggest that credit rating agencies should be stripped of their regulatory powers and these transferred to an international body. Failing that, the ratings agencies should be forced to substantially increase transparency, including publishing a separate breakdown of the ‘objective’ and ‘subjective’ components of ratings, the minutes of the rating committees, and the voting records.

Suggested Citation

  • Daniel R. Vernazza & Erik F. Nielsen, 2015. "The Damaging Bias of Sovereign Ratings," Economic Notes, Banca Monte dei Paschi di Siena SpA, vol. 44(2), pages 361-408, July.
  • Handle: RePEc:bla:ecnote:v:44:y:2015:i:2:p:361-408
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

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


    Cited by:

    1. Athanasios Orphanides, 2020. "The fiscal–monetary policy mix in the euro area: challenges at the zero lower bound," Economic Policy, CEPR, CESifo, Sciences Po;CES;MSH, vol. 35(103), pages 461-517.
    2. De Moor, Lieven & Luitel, Prabesh & Sercu, Piet & Vanpée, Rosanne, 2018. "Subjectivity in sovereign credit ratings," Journal of Banking & Finance, Elsevier, vol. 88(C), pages 366-392.
    3. Ioannou, Stefanos & Wójcik, Dariusz & Pažitka, Vladimír, 2021. "Financial centre bias in sub-sovereign credit ratings," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 70(C).
    4. Cuadros-Solas, Pedro J. & Salvador, Carlos & Suárez, Nuria, 2021. "Am I riskier if I rescue my banks? Beyond the effects of bailouts," Journal of Financial Stability, Elsevier, vol. 56(C).
    5. Jaime A. Teixeira da Silva & Daniel J. Dunleavy & Mina Moradzadeh & Joshua Eykens, 2021. "A credit-like rating system to determine the legitimacy of scientific journals and publishers," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(10), pages 8589-8616, October.
    6. Agnello, Luca & Castro, Vítor & Sousa, Ricardo M., 2021. "On the duration of sovereign ratings cycle phases," Journal of Economic Behavior & Organization, Elsevier, vol. 182(C), pages 512-526.
    7. Luitel, Prabesh & Vanpée, Rosanne & De Moor, Lieven, 2016. "Pernicious effects: How the credit rating agencies disadvantage emerging markets," Research in International Business and Finance, Elsevier, vol. 38(C), pages 286-298.
    8. Thomas Edward Flores & Gabriella Lloyd & Irfan Nooruddin, 2023. "When TED talks, does anyone listen? A new dataset on political leadership," The Review of International Organizations, Springer, vol. 18(1), pages 169-199, January.
    9. Cuadros-Solas, Pedro Jesús & Salvador Muñoz, Carlos, 2022. "Disentangling the sources of sovereign rating adjustments: An examination of changes in rating policies following the GFC," Research in International Business and Finance, Elsevier, vol. 59(C).

    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:ecnote:v:44:y:2015:i:2:p:361-408. 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: http://www.blackwellpublishing.com/journal.asp?ref=0391-5026 .

    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.