IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Login to save this paper or follow this series

What “hides” behind sovereign debt ratings?

  • Afonso, António
  • Gomes, Pedro
  • Rother, Philipp

In this paper we study the determinants of sovereign debt credit ratings using rating notations from the three main international rating agencies, for the period 1995-2005. We employ panel estimation and random effects ordered probit approaches to assess the explanatory power of several macroeconomic and public governance variables. Our results point to a good performance of the estimated models, across agencies and across the time dimension, as well as a good overall prediction power. Relevant explanatory variables for a country's credit rating are: GDP per capita, GDP growth, government debt, government effectiveness indicators, external debt, external reserves, and default history. JEL Classification: C23, C25, E44, F30, F34, G15, H63

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: http://www.ecb.europa.eu/pub/pdf/scpwps/ecbwp711.pdf
Download Restriction: no

Paper provided by European Central Bank in its series Working Paper Series with number 0711.

as
in new window

Length:
Date of creation: Jan 2007
Date of revision:
Handle: RePEc:ecb:ecbwps:20070711
Contact details of provider: Postal: 60640 Frankfurt am Main, Germany
Phone: +49 69 1344 0
Fax: +49 69 1344 6000
Web page: http://www.ecb.europa.eu/
Email:


More information through EDIRC

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

as in new window
  1. Sophia Rabe-Hesketh & Andrew Pickles & Colin Taylor, 2000. "Generalized linear latent and mixed models," Stata Technical Bulletin, StataCorp LP, vol. 9(53).
  2. Richard Cantor & Frank Packer, 1996. "Determinants and impact of sovereign credit ratings," Economic Policy Review, Federal Reserve Bank of New York, issue Oct, pages 37-53.
  3. Eliasson, Ann-Charlotte, 2002. "Sovereign credit ratings," Research Notes 02-1, Deutsche Bank Research.
  4. Emawtee Bissoondoyal-Bheenick & Robert Brooks & Angela Y.N.Yip, 2005. "Determinants of Sovereign Ratings: A Comparison of Case-Based Reasoning and Ordered Probit Approaches," Monash Econometrics and Business Statistics Working Papers 9/05, Monash University, Department of Econometrics and Business Statistics.
  5. Vassilis A. Hajivassiliou & Yannis M. Ioannides, 1993. "Unemployment and Liquidity Constraints," Working Papers _019, Yale University.
  6. Alexander W. Butler & Larry Fauver, 2006. "Institutional Environment and Sovereign Credit Ratings," Financial Management, Financial Management Association, vol. 35(3), Autumn.
  7. Reisen, Helmut & von Maltzan, Julia, 1999. "Boom and Bust and Sovereign Ratings," International Finance, Wiley Blackwell, vol. 2(2), pages 273-93, July.
  8. Christian B. Mulder & Brieuc Monfort, 2000. "Using Credit Ratings for Capital Requirementson Lending to Emerging Market Economies; Possible Impact of a New Basel Accord," IMF Working Papers 00/69, International Monetary Fund.
  9. Guillaume R. Frechette, 2001. "Update to random-effects ordered probit," Stata Technical Bulletin, StataCorp LP, vol. 10(61).
  10. António Afonso, 2002. "Understanding the Determinants of Government Debt Ratings: Evidence for the Two Leading Agencies," Working Papers Department of Economics 2002/02, ISEG - School of Economics and Management, Department of Economics, University of Lisbon.
  11. Dany Jaimovich & Ugo Panizza, 2006. "Public Debt around the World: A New Dataset of Central Government Debt," Research Department Publications 4461, Inter-American Development Bank, Research Department.
  12. Hu, Yen-Ting & Kiesel, Rudiger & Perraudin, William, 2002. "The estimation of transition matrices for sovereign credit ratings," Journal of Banking & Finance, Elsevier, vol. 26(7), pages 1383-1406, July.
  13. Guillaume R. Frechette, 2001. "Random-effects ordered probit," Stata Technical Bulletin, StataCorp LP, vol. 10(59).
  14. Bissoondoyal-Bheenick, Emawtee, 2005. "An analysis of the determinants of sovereign ratings," Global Finance Journal, Elsevier, vol. 15(3), pages 251-280, February.
  15. Claudio Borio & Frank Packer, 2004. "Assessing new perspectives on country risk," BIS Quarterly Review, Bank for International Settlements, December.
Full references (including those not matched with items on IDEAS)

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

When requesting a correction, please mention this item's handle: RePEc:ecb:ecbwps:20070711. See general information about how to correct material in RePEc.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Official Publications)

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.

If references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link to it, you can help with 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 profile, as there may be some citations waiting for confirmation.

Please note that corrections may take a couple of weeks to filter through the various RePEc services.

This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.