Scientific journal paper Q3
Determinants of sovereign debt ratings in clusters of European countries – effects of the crisis
Catarina Proença (Proença, C.); Maria Neves (Neves, M.); José Carlos Dias (Dias, J. C.); Pedro Martins (Martins, P.);
Journal Title
Journal of Financial Economic Policy
Year (definitive publication)
2022
Language
English
Country
United Kingdom
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Abstract
Purpose: This paper aims to study the determinants of the sovereign debt ratings provided by the 3 main rating agencies for 32 European countries. It verifies the clusters of countries existing for each of the agencies, considering regional bias, and then analyzes whether the determinants were different before and after the global financial crisis. It also aims to explain how the determinants are taken into account for rich and developing countries, using a sample for the period between 2001 and 2008 and the period between 2009 and 2016. Design/methodology/approach: To this purpose, this paper performs panel data estimation using an ordered Probit approach. Findings: This method shows that for developing countries after the crisis, the relevant explanatory variables are the unemployment rate and the presence in the Eurozone. For rich countries, the inflation rate is pivotal after the crisis period. Originality/value: This paper is the first to use a clustering methodology within sovereign debt rating literature, grouping the countries into cohesive clusters according to their sovereign debt ratings along with the proposed time frame. Moreover, it explains, which countries belong to strong or weak groups, according to the rating agencies under discussion; and, in these groups, it identifies the sovereign rating determinants.
Acknowledgements
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Keywords
Financial markets and the macroeconomy,Financial economics,Models with panel data,Debt management
  • Economics and Business - Social Sciences
Funding Records
Funding Reference Funding Entity
UIDB/00315/2020 Fundação para a Ciência e a Tecnologia
UIDB/04561/2020 Fundação para a Ciência e a Tecnologia
UIDB/04011/2020 Fundação para a Ciência e a Tecnologia

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