Código QR

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,...

Descrición completa

Gardado en:
Principais autores: Noah Cheruiyot Mutai, Karim Farag, Lawrence Ibeh, Kaddour Chelabi, Nguyen Manh Cuong, Olufunke Mercy Popoola
Formato: Artigo
Idioma:Inglês
Publicado: MDPI AG 2025-06-01
Series:FinTech
Assuntos:
fiscal risk assessment
public debt sustainability
machine learning
eurozone
macroeconomic forecasting
Acceso en liña:https://www.mdpi.com/2674-1032/4/3/27
Tags: Engadir etiqueta
Sen Etiquetas, Sexa o primeiro en etiquetar este rexistro!

Títulos similares