国际货币基金组织：2024年匈牙利企业部门风险：机器学习方法报告（英文版）

In recent years, Hungary’s non-financial corporations were confronted with multiple shocks, ranging from the pandemic and rising geopolitical tensions to the historic tightening of domestic monetary policy. Employing machine learning techniques, this paper examines the determinants of Hungarian listed firms’ credit risk evolution over this period. Our analysis shows that both firm-specific and macroeconomic factors played a role in explaining the observed rise in firms’ default probability at