Hungary’s Corporate Sector Risk: A Machine Learning Approach
August 13, 2024
Summary
corporates proved broadly resilient, with risk indicators quickly improving a year after. Firms’ credit risk rose again in 2022, however, as both long-term interest rates and sovereign risk premia sharply increased, despite continued improvements in firms’ financial ratios. This development merits continued monitoring, particularly since a significant portion of corporate loans are set to mature within the next few years and could be repriced at higher interest rates.
Subject: Business enterprises, Central bank policy rate, Corporate sector, COVID-19, Credit default swap, Credit risk, Economic sectors, Financial regulation and supervision, Financial services, Health, Long term interest rates, Machine learning, Market risk, Monetary policy, Monetary tightening, Money, Technology
Keywords: Business enterprises, Central bank policy rate, corporate sector, Corporate sector, COVID-19, COVID-19 pandemic, Credit default swap, credit risk, Credit risk, geopolitical tension, Hungary, Liquidity requirements, Loans, Long term interest rates, machine learning, Machine learning, Market risk, monetary policy, Monetary tightening, probability of default, sovereign risk
Pages:
12
Volume:
2024
DOI:
Issue:
038
Series:
Selected Issues Paper No. 2024/038
Stock No:
SIPEA2024038
ISBN:
9798400287916
ISSN:
2958-7875






