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A publicação pode ser exportada nos seguintes formatos: referência da APA (American Psychological Association), referência do IEEE (Institute of Electrical and Electronics Engineers), BibTeX e RIS.

Exportar Referência (APA)
Proença, C., Neves, M., Dias, J. C. & Martins, P. (2022). Determinants of sovereign debt ratings in clusters of European countries – effects of the crisis. Journal of Financial Economic Policy. 14 (3), 403-427
Exportar Referência (IEEE)
C. Proença et al.,  "Determinants of sovereign debt ratings in clusters of European countries – effects of the crisis", in Journal of Financial Economic Policy, vol. 14, no. 3, pp. 403-427, 2022
Exportar BibTeX
@article{proença2022_1734956655008,
	author = "Proença, C. and Neves, M. and Dias, J. C. and Martins, P.",
	title = "Determinants of sovereign debt ratings in clusters of European countries – effects of the crisis",
	journal = "Journal of Financial Economic Policy",
	year = "2022",
	volume = "14",
	number = "3",
	doi = "10.1108/JFEP-01-2021-0017",
	pages = "403-427",
	url = "https://www.emerald.com/insight/publication/issn/1757-6385"
}
Exportar RIS
TY  - JOUR
TI  - Determinants of sovereign debt ratings in clusters of European countries – effects of the crisis
T2  - Journal of Financial Economic Policy
VL  - 14
IS  - 3
AU  - Proença, C.
AU  - Neves, M.
AU  - Dias, J. C.
AU  - Martins, P.
PY  - 2022
SP  - 403-427
SN  - 1757-6385
DO  - 10.1108/JFEP-01-2021-0017
UR  - https://www.emerald.com/insight/publication/issn/1757-6385
AB  - 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. 
ER  -