Galnares, Carlos , MARTÍNEZ ESTUDILLO, ALFONSO CARLOS, CARBONERO RUZ, MARIANO, CAMPOY MUÑOZ, MARÍA DEL PILAR
No
Appl. Econ. Lett.
Article
Científica
3
2
1.6
0.45
06/07/2022
000825249200001
2-s2.0-85133500641
In papers using artificial intelligence (AI) techniques, little attention has been paid to the determinants of sovereign debt ratings. We propose a reduced set of variables regarding the economic performance of a country that are consistent with the idea of debt sustainability. The robustness of this set is supported by the results obtained with different well-known AI techniques using data from EU-15 countries during the 2002-2017 period as the experimental setting. The variables are publicly available, allowing a quick and reliable assessment of the creditworthiness of a sovereign and providing useful information for decision-makers and investors.
Sovereign credit ratings; credit rating agencies; EU-15; artificial intelligence