Mhux disponibbli bil-Malti
Franco Fiordelisi
- 20 December 2022
- WORKING PAPER SERIES - No. 2760Details
- Abstract
- When the Covid-19 crisis struck, banks using internal-rating based (IRB) models quickly recognized the increase in risk and reduced lending more than banks using a standardized approach. This effect is not driven by borrowers’ quality or by banks in countries with credit booms before the pandemic. The higher risk sensitivity of IRB models does not always result in lower credit provision when risk intensifies. Certain features of the IRB models – the use of a downturn Loss Given Default parameter –can increase banks’ resilience and preserve their intermediation capacity also during downturns. Affected borrowers were not able to fully insulate and decreased corporate investments.
- JEL Code
- G21 : Financial Economics→Financial Institutions and Services→Banks, Depository Institutions, Micro Finance Institutions, Mortgages
G28 : Financial Economics→Financial Institutions and Services→Government Policy and Regulation
- 20 December 2022
- RESEARCH BULLETIN - No. 102Details
- Abstract
- When the coronavirus (COVID-19) pandemic struck, it was vital for many firms to retain access to funding from banks. In order to calculate their capital requirements, banks measure borrowers’ credit risk using either “their own”, internal ratings-based (IRB) models, or a standardised approach. This analysis examines whether model-based bank regulation constrained lending during the COVID-19 crisis. Results show that banks using their own models extended less credit than banks using a standardised approach. This outcome was not dependent on borrowers’ characteristics, or the credit booms seen in some countries, but is connected to the IRB models that some banks use. Certain features of the models such as the “downturn loss-given default” parameter, which reflects how much money a bank can expect to lose when borrowers default on loans during downturns, are helpful to bolster banks’ resilience and preserve their intermediation capacity during times of economic decline.
- JEL Code
- G21 : Financial Economics→Financial Institutions and Services→Banks, Depository Institutions, Micro Finance Institutions, Mortgages
G28 : Financial Economics→Financial Institutions and Services→Government Policy and Regulation
- 10 June 2010
- WORKING PAPER SERIES - No. 1211Details
- Abstract
- We analyse the impact of efficiency on bank risk. We also consider whether bank capital has an effect on this relationship. We model the inter-temporal relationships among efficiency, capital and risk for a large sample of commercial banks operating in the European Union. We find that reductions in cost and revenue efficiencies increase banks' future risks thus supporting the bad management and efficiency version of the moral hazard hypotheses. In contrast, bank efficiency improvements contribute to shore up bank capital levels. Our findings suggest that banks lagging behind in their efficiency levels might expect higher risk and subdued capital positions in the near future.
- JEL Code
- G21 : Financial Economics→Financial Institutions and Services→Banks, Depository Institutions, Micro Finance Institutions, Mortgages
D24 : Microeconomics→Production and Organizations→Production, Cost, Capital, Capital, Total Factor, and Multifactor Productivity, Capacity
C23 : Mathematical and Quantitative Methods→Single Equation Models, Single Variables→Panel Data Models, Spatio-temporal Models
E44 : Macroeconomics and Monetary Economics→Money and Interest Rates→Financial Markets and the Macroeconomy - Network
- Macroprudential Research Network