AI Driven Fiscal Risk Assessment in the Eurozone: A Machine Learning Approach to Public Debt Vulnerability

This study applied supervised machine learning algorithms to macro-fiscal panel data from 20 EU member states (2000–2024) to model and predict fiscal stress episodes in the Eurozone. Conventional frameworks for assessing public debt sustainability often rely on static thresholds and linear dynamics,...

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Detalhes bibliográficos

Principais autores:	Noah Cheruiyot Mutai, Karim Farag, Lawrence Ibeh, Kaddour Chelabi, Nguyen Manh Cuong, Olufunke Mercy Popoola
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2025-06-01
Colecção:	FinTech
Assuntos:	fiscal risk assessment public debt sustainability machine learning eurozone macroeconomic forecasting
Acesso em linha:	https://www.mdpi.com/2674-1032/4/3/27
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