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Sovereign rescheduling probabilities in emerging markets: a comparison with credit rating agencies' ratings

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  • A. Georgievska
  • L. Georgievska
  • A. Stojanovic
  • N. Todorovic

Abstract

This study estimates default probabilities of 124 emerging countries from 1981 to 2002 as a function of a set of macroeconomic and political variables. The estimated probabilities are then compared with the default rates implied by sovereign credit ratings of three major international credit rating agencies (CRAs) - Moody's Investor's Service, Standard & Poor's and Fitch Ratings. Sovereign debt default probabilities are used by investors in pricing sovereign bonds and loans as well as in determining country risk exposure. The study finds that CRAs usually underestimate the risk of sovereign debt as the sovereign credit ratings from rating agencies are usually too optimistic.

Suggested Citation

  • A. Georgievska & L. Georgievska & A. Stojanovic & N. Todorovic, 2008. "Sovereign rescheduling probabilities in emerging markets: a comparison with credit rating agencies' ratings," Journal of Applied Statistics, Taylor & Francis Journals, vol. 35(9), pages 1031-1051.
    • Handle: RePEc:taf:japsta:v:35:y:2008:i:9:p:1031-1051
    DOI: 10.1080/02664760802193112
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    6. International Monetary Fund, 1998. "The Relative Importance of Political and Economic Variables in Creditworthiness Ratings," IMF Working Papers 1998/046, International Monetary Fund.
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    Cited by:

    1. Serhan Cevik & Belma Öztürkkal, 2021. "Contagion of fear: Is the impact of COVID‐19 on sovereign risk really indiscriminate?," International Finance, Wiley Blackwell, vol. 24(2), pages 134-154, August.
    2. Kim, Teakdong & Koo, Bonwoo & Park, Minsoo, 2013. "Role of financial regulation and innovation in the financial crisis," Journal of Financial Stability, Elsevier, vol. 9(4), pages 662-672.
    3. Johannes W. Fedderke, 2013. "Promotion and Relegation between Country Risk Classes as Maintained by Country Risk Rating Agencies," Working Papers 376, Economic Research Southern Africa.
    4. Zeaiter, Hussein & El-Khalil, Raed, 2016. "Extreme bounds of sovereign defaults: Evidence from the MENA region," International Review of Economics & Finance, Elsevier, vol. 41(C), pages 391-410.
    5. Chakrabarti, Avik & Zeaiter, Hussein, 2014. "The determinants of sovereign default: A sensitivity analysis," International Review of Economics & Finance, Elsevier, vol. 33(C), pages 300-318.
    6. Moreno Badia, Marialuz & Medas, Paulo & Gupta, Pranav & Xiang, Yuan, 2022. "Debt is not free," Journal of International Money and Finance, Elsevier, vol. 127(C).
    7. Zeaiter, Hussein Zeaiter, 2013. "Sovereign Debt Defaults: Evidence using Extreme bounds Analysis," Working Papers 32/2013, Universidade Portucalense, Centro de Investigação em Gestão e Economia (CIGE).
    8. Ho, Sy Hoa, 2016. "Long and short-runs determinants of the sovereign CDS spread in emerging countries," Research in International Business and Finance, Elsevier, vol. 36(C), pages 579-590.
    9. Ferdinand Niyimbanira & Rachel Nishimwe-Niyimbanira & Sanderson Sabie Kuyeli & Koleka Rangaza, 2015. "The Determinants of Interest Rate Spreads in South Africa: A Cointegration Approach," Journal of Economics and Behavioral Studies, AMH International, vol. 7(2), pages 101-108.
    10. Shen, Yiran & Feng, Qianqian & Sun, Xiaolei, 2024. "Stability and risk contagion in the global sovereign CDS market under Russia-Ukraine conflict," The North American Journal of Economics and Finance, Elsevier, vol. 74(C).

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