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On the Self-Fulfilling Prophecy of Changes in Sovereign Ratings

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  • Ingmar Schumacher

    (X-DEP-ECO - Département d'Économie de l'École Polytechnique - X - École polytechnique)

Abstract

We empirically investigate the dynamic interactions between sovereign ratings and the macroeconomic environment. We use a Panel VAR on annual data for European countries from 1986-2010. Our results provide evidence for a significant two-way interaction between the macroeconomic environment and changes in sovereigns' ratings. Thus, rating changes are able to exacerbate a country's boom-bust cycle.

Suggested Citation

  • Ingmar Schumacher, 2012. "On the Self-Fulfilling Prophecy of Changes in Sovereign Ratings," Working Papers hal-00668284, HAL.
  • Handle: RePEc:hal:wpaper:hal-00668284
    Note: View the original document on HAL open archive server: https://hal.science/hal-00668284
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    Cited by:

    1. Hantzsche, Arno, 2022. "Fiscal uncertainty and sovereign credit risk," European Economic Review, Elsevier, vol. 148(C).
    2. Cornand, Camille & Gandré, Pauline & Gimet, Céline, 2016. "Increase in home bias in the Eurozone debt crisis: The role of domestic shocks," Economic Modelling, Elsevier, vol. 53(C), pages 445-469.
    3. El-Shagi, Makram & von Schweinitz, Gregor, 2017. "Why they keep missing: An empirical investigation of rational inattention of rating agencies," IWH Discussion Papers 1/2017, Halle Institute for Economic Research (IWH), revised 2017.
    4. Kenjegaliev, Amangeldi & Duygun, Meryem & Mamedshakhova, Djamila, 2016. "Do rating grades convey important information: German evidence?," Economic Modelling, Elsevier, vol. 53(C), pages 334-344.
    5. Manfred G?rtner & Bj?rn Griesbach, 2017. "Rating Agencies, Self-Fulfilling Prophecy and Multiple Equilibria? An Empirical Model of the European Sovereign Debt Crisis 2009-2011," Business and Economic Research, Macrothink Institute, vol. 7(1), pages 199-226, June.
    6. Yasir Riaz & Choudhry T. Shehzad & Zaghum Umar, 2021. "The sovereign yield curve and credit ratings in GIIPS," International Review of Finance, International Review of Finance Ltd., vol. 21(3), pages 895-916, September.
    7. Makram El‐Shagi & Gregor von Schweinitz, 2022. "Why they keep missing: An empirical investigation of sovereign bond ratings and their timing," Scottish Journal of Political Economy, Scottish Economic Society, vol. 69(2), pages 186-224, May.
    8. Gabriel Caldas Montes & Diego Silveira Pacheco Oliveira, 2019. "Central bank transparency and sovereign risk ratings: a panel data approach," International Economics and Economic Policy, Springer, vol. 16(2), pages 417-433, April.
    9. Theodoros V. Stamatopoulos & Stavros E. Arvanitis & Dimitris M. Terzakis, 2017. "The risk of the sovereign debt default: the Eurozone crisis 2008–2013," Applied Economics, Taylor & Francis Journals, vol. 49(38), pages 3782-3796, August.
    10. Gabriel Caldas Montes & Diego S. P. Oliveira & Helder Ferreira Mendonça, 2016. "Sovereign Credit Ratings in Developing Economies: New Empirical Assessment," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 21(4), pages 382-397, October.
    11. Diego Silveira Pacheco De Oliveira & Gabriel Caldas Montes, 2016. "Beyond The Macroeconomic Determinants Of Sovereign Credit Ratings In Developing Economies: A Panel Data Analysis Considering Different Dimensions," Anais do XLIII Encontro Nacional de Economia [Proceedings of the 43rd Brazilian Economics Meeting] 049, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].

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    More about this item

    Keywords

    self-fulfilling prophecy; sovereign ratings; Panel VAR; self-fulfilling prophecy.;
    All these keywords.

    JEL classification:

    • E6 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models

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