Co-movements in EU banks’ fragility: a dynamic factor model approach
We analyse co-movements in the fragility of EU banks and verify to which extent such co-movements have increased in time, following, for example, the completion of Monetary Union and the introduction of the euro. To this end, we provide a measure of co-movements in bank risk by means of a dynamic factor model, which allows to decompose an indicator of bank fragility, the Distance-to-Default, into three main components: an EU- wide, a country-specific and a bank-level idiosyncratic component. Our results show the commonality in bank risk appears to have significantly increased since 1999, in particular if one concentrates on large banks. This has obvious consequences in terms of systemic stability, but may also have far reaching policy implications with regards to the structuring of banking supervision in Europe (i.e. it increases the scope for supervisory co-operation at EU-wide level). We also believe that co-movements in bank conditions are important for monetary policy since banks still constitute monetary policy’s most important transmission channel.
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- Bongini, Paola & Laeven, Luc & Majnoni, Giovanni, 2002. "How good is the market at assessing bank fragility? A horse race between different indicators," Journal of Banking & Finance, Elsevier, vol. 26(5), pages 1011-1028, May.
- Jushan Bai & Serena Ng, 2000.
"Determining the Number of Factors in Approximate Factor Models,"
Econometric Society World Congress 2000 Contributed Papers
1504, Econometric Society.
- Jushan Bai & Serena Ng, 2002. "Determining the Number of Factors in Approximate Factor Models," Econometrica, Econometric Society, vol. 70(1), pages 191-221, January.
- Jushan Bai & Serena Ng, 2000. "Determining the Number of Factors in Approximate Factor Models," Boston College Working Papers in Economics 440, Boston College Department of Economics.
- Elena Angelini & Jérôme Henry & Ricardo Mestre, 2001.
"Diffusion index-based inflation forecasts for the euro area,"
BIS Papers chapters,
in: Bank for International Settlements (ed.), Empirical studies of structural changes and inflation, volume 3, pages 109-138
Bank for International Settlements.
- Angelini, Elena & Henry, Jérôme & Mestre, Ricardo, 2001. "Diffusion index-based inflation forecasts for the euro area," Working Paper Series 0061, European Central Bank.
- Billio, Monica & Pelizzon, Loriana, 2003. "Contagion and interdependence in stock markets: Have they been misdiagnosed?," Journal of Economics and Business, Elsevier, vol. 55(5-6), pages 405-426.
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