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Financial stability analysis: insights gained from consolidated banking data for the EU

Author

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  • Borgioli, Stefano
  • Gouveia, Ana Cláudia
  • Labanca, Claudio

Abstract

This occasional paper explores the Consolidated Banking Data (CBD), a key component of the ECB statistical toolbox for financial stability analysis. We show that non-consolidated, host-country Monetary Financial Institutions (MFI) balance sheet data, which constitutes a key source of input into monetary analysis, are a rather weak proxy for consolidated, home-country data and therefore cannot easily substitute CBD for the purposes of macro-prudential assessment. In addition, it is argued that, notwithstanding the relevance of large banks, medium-sized and small banks must also be taken into account in financial stability analysis, given their relevance in several EU countries and their different business models. A discussion follows on how aggregate data, broken down by bank size, can be used to complement micro data, in particular by signalling where and what to look for, again highlighting the differences between large banks on the one hand and small and mediumsized banks on the other. JEL Classification: E13, E31, E50

Suggested Citation

  • Borgioli, Stefano & Gouveia, Ana Cláudia & Labanca, Claudio, 2013. "Financial stability analysis: insights gained from consolidated banking data for the EU," Occasional Paper Series 140, European Central Bank.
  • Handle: RePEc:ecb:ecbops:20130140
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    File URL: http://www.ecb.europa.eu/pub/pdf/scpops/ecbocp140.pdf
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    References listed on IDEAS

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    1. Stephen Cecchetti & Ingo Fender & Kostas Patrick McGuire, 2010. "Toward a global risk map," BIS Working Papers 309, Bank for International Settlements.
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    Cited by:

    1. Stefano Borgioli & Graziella Morandi & Joao Veiga, 2015. "The development and compilation of macro prudential data – the European perspective," IFC Bulletins chapters,in: Bank for International Settlements (ed.), Indicators to support monetary and financial stability analysis: data sources and statistical methodologies, volume 39 Bank for International Settlements.
    2. Lang, Frank & Signore, Simone & Gvetadze, Salome, 2016. "The role of cooperative banks and smaller institutions for the financing of SMEs and small midcaps in Europe," EIF Working Paper Series 2016/36, European Investment Fund (EIF).
    3. Israël, Jean-Marc & Sandars, Patrick & Schubert, Aurel & Fischer, Björn, 2013. "Statistics and indicators for financial stability analysis and policy," Occasional Paper Series 145, European Central Bank.
    4. Sargu Alina Camelia & Roman Angela, 2013. "A CROSS-COUNTRY ANALYSIS OF THE BANKSâ€(tm) FINANCIAL SOUNDNESS: THE CASE OF THE CEE-3 COUNTRIES," Annals of Faculty of Economics, University of Oradea, Faculty of Economics, vol. 1(1), pages 357-367, July.
    5. Gaia Barbic & Stefano Borgioli & Jan Klacso, 2016. "Aggregate macroprudential statistics from micro supervisory data. Conceptual and operational issues," IFC Bulletins chapters,in: Bank for International Settlements (ed.), Combining micro and macro data for financial stability analysis, volume 41 Bank for International Settlements.
    6. Barbic, Gaia & Borgioli, Stefano & Klacso, Jan, 2017. "The journey from micro supervisory data to aggregate macroprudential statistics," Statistics Paper Series 20, European Central Bank.

    More about this item

    Keywords

    banking indicators; consolidated banking data; macro-prudential analysis;

    JEL classification:

    • E13 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - Neoclassical
    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
    • E50 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - General

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