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Adele Fontana
- 9 November 2026
- WORKING PAPER SERIES - No. 3308Details
- Abstract
- This paper provides an assessment of supervisory effectiveness in credit risk using confidential data from ECB Banking Supervision. The analysis covers 8,106 supervisory measures issued and closed between 2016 and 2025. A central contribution is the construction of a measure level indicator of supervisory effectiveness based on large language model (LLM) analysis of supervisory narratives and closure justifications. The indicator captures whether supervisory measures resulted in full remediation of the underlying deficiencies. Using logistic and duration models, we examine the characteristics of findings, measures, and banks associated with remediation outcomes and remediation speed. The results show that multi-faceted findings are a key driver of supervisory outcomes. Measures related to data, reporting, and IT deficiencies are less likely to achieve full remediation and require longer remediation periods. Measures originating from on-site inspections are associated with higher remediation rates and faster closure. Stronger governance is also associated with more successful remediation outcomes.
- JEL Code
- G21 : Financial Economics→Financial Institutions and Services→Banks, Depository Institutions, Micro Finance Institutions, Mortgages
E51 : Macroeconomics and Monetary Economics→Monetary Policy, Central Banking, and the Supply of Money and Credit→Money Supply, Credit, Money Multipliers
H81 : Public Economics→Miscellaneous Issues→Governmental Loans, Loan Guarantees, Credits, Grants, Bailouts
G28 : Financial Economics→Financial Institutions and Services→Government Policy and Regulation
- 25 June 2025
- MACROPRUDENTIAL BULLETIN - ARTICLE - No. 29Details
- Abstract
- This article looks into residential real estate (RRE) lending standards, focusing on their key determinants and assessing the implications of loose lending standards for financial stability and the real economy. Two key insights emerge. First, lending standards tend to be procyclical – i.e., they become looser during economic upturns and tighter during downturns. Second, loose lending standards amplify the effects of negative housing market shocks on the real economy and heighten financial stability risks via an increase in the probability of default of households.
- JEL Code
- E44 : Macroeconomics and Monetary Economics→Money and Interest Rates→Financial Markets and the Macroeconomy
G01 : Financial Economics→General→Financial Crises
G21 : Financial Economics→Financial Institutions and Services→Banks, Depository Institutions, Micro Finance Institutions, Mortgages
R31 : Urban, Rural, Regional, Real Estate, and Transportation Economics→Real Estate Markets, Spatial Production Analysis, and Firm Location→Housing Supply and Markets
- 12 March 2025
- WORKING PAPER SERIES - No. 3036Details
- Abstract
- Physical climate risks can have a large regional impact, which can influence mortgage loans’ credit risk and should be priced by the lenders. Motivated by the relevance of climate change for financial intermediaries, our paper aims at analysing if physical climate risks are being reflected in residential real estate loan rates of banks. We show that on average banks seem to demand a physical climate risk premium from mortgage borrowers and the premium has increased over recent years. However, there is significant heterogeneity in bank practices. Banks that were identified as “adequately” considering climate risk in the credit risk management by the ECB Banking Supervision charge higher risk premia which have been increasing particularly after the publication of supervisory expectations. In contrast, the lack of risk premia of certain banks shows that ECB diagnostics in the Thematic Review on Climate were accurate in identifying the banks that need stronger supervisory focus.
- JEL Code
- G12 : Financial Economics→General Financial Markets→Asset Pricing, Trading Volume, Bond Interest Rates
G21 : Financial Economics→Financial Institutions and Services→Banks, Depository Institutions, Micro Finance Institutions, Mortgages
Q51 : Agricultural and Natural Resource Economics, Environmental and Ecological Economics→Environmental Economics→Valuation of Environmental Effects
Q54 : Agricultural and Natural Resource Economics, Environmental and Ecological Economics→Environmental Economics→Climate, Natural Disasters, Global Warming
R32 : Urban, Rural, Regional, Real Estate, and Transportation Economics→Real Estate Markets, Spatial Production Analysis, and Firm Location→Other Spatial Production and Pricing Analysis
- 21 November 2023
- FINANCIAL STABILITY REVIEW - ARTICLEFinancial Stability Review Issue 2, 2023Details
- Abstract
- Tighter financing conditions have reduced the affordability of and demand for real estate assets, putting downward pressure on prices. They have also increased the debt service costs faced by existing borrowers, with more-indebted borrowers in countries with widespread variable-rate lending being the most affected. Robust labour markets have thus far supported household balance sheets, thereby mitigating credit risk in banks’ relatively large residential real estate exposures. Commercial real estate firms, by contrast, have faced more severe challenges in a context of rising financing costs and declining profitability. While commercial real estate markets have comparatively low bank exposures, losses in this segment could act as an amplifying factor in the event of a wider shock.
- JEL Code
- G00 : Financial Economics→General→General
G01 : Financial Economics→General→Financial Crises
G21 : Financial Economics→Financial Institutions and Services→Banks, Depository Institutions, Micro Finance Institutions, Mortgages
G51 : Financial Economics
R30 : Urban, Rural, Regional, Real Estate, and Transportation Economics→Real Estate Markets, Spatial Production Analysis, and Firm Location→General
R31 : Urban, Rural, Regional, Real Estate, and Transportation Economics→Real Estate Markets, Spatial Production Analysis, and Firm Location→Housing Supply and Markets