European Union Banking Sector Statistics (2009)
- Francesca Di Girolamo
How to cite
Pagano, Andrea; Di Girolamo, Francesca (2017): European Union Banking Sector Statistics (2009). European Commission, Joint Research Centre (JRC) [Dataset] PID: http://data.europa.eu/89h/jrc-eubss-eubss-2009
European Union Banking Sector Statistics (2009) - Excel format: EU 28 banking sector population
aggregate by countries. Population statistics. Main data
sources are Eurosta for GDP; BIS for banks' exposusres; ECB for Total Assets.
JRC survey for covered and eligible deposits.
European Union Banking Sector Statistics (2009) - Excel format: EU 28 banking sector sample aggregate by countries. Sample Statistics. JRC elaboration on Bankscope data.
Graph showing three key drivers associated to banks' default probability. Sample aggregates by countries.
- ELSEVIER SCIENCE INC, NEW YORK, USA
In response to the economic and financial crisis, the EU has adopted a new regulatory framework of the banking sector. Its central elements consist of new capital requirements, the single rulebook, and rules for bank recovery and resolution. These legislations have been adopted to reduce the call for government bail-out of distressed banks in future crises. The present study performs a detailed quantitative assessment of the reduction in public finance costs brought about by the introduction of these rules. We use a microsimulation portfolio model, which implements the Basel risk assessment framework, to estimate the joint distribution of bank losses at EU level. The approach incorporates the complete safety-net set up in EU legislation to absorb these losses, explicitly modelling enhanced Basel III capital rules, the bail-in tool and the resolution funds. Using a near-full sample of commercial, cooperative and savings banks in the EU, we quantify the cumulative effects of this safety-net and the contribution of each individual tool to the total effect. Considering a crisis of a similar magnitude as the recent one, our results show that potential costs for public finances decrease from roughly 3.7% of EU GDP (before the introduction of any new tool) to 1.4% with bail-in, and finally to 0.5% when all the elements we model are in place. This latter amount is very close to our estimate of leftover resolution funds and the size of the Deposit Guarantee Scheme. This exercise extends the quantitative analyses performed by the European Commission in its Economic Review of the Financial Regulation Agenda by developing additional scenarios, crucial robustness checks, simulations for different annual data vintages, and by implementing some methodological improvements.
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