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What Matters in Determining Capital Surcharges for Systemically Important Financial Institutions?

Author

Listed:
  • Céline Gauthier
  • Toni Gravelle
  • Xuezhi Liu
  • Moez Souissi

Abstract

One way of internalizing the externalities that each individual bank imposes on the rest of the financial system is to impose capital surcharges on them in line with their systemic importance. Given the complexity of the financial system and the resulting difficulties in measuring systemic importance, it is sometimes argued that higher capital surcharges should be applied to larger banks, abstracting from other factors like interconnectedness. In this paper, the authors consider different network structures of the banking system that are characterized by two different centrality measures. Their main finding is that size alone is not always a good proxy for systemic importance: it must be supplemented with detailed information on interbank exposures. A relatively small bank playing an outsized role in the interbank market might be more systemic, and thus garner a higher capital surcharge, than a less-connected bank of somewhat larger size. Alternatively, if the centrality of banks in an interbank network is positively correlated with their size, then proxies of a bank’s systemic importance largely based on size are sufficient indicators.

Suggested Citation

  • Céline Gauthier & Toni Gravelle & Xuezhi Liu & Moez Souissi, 2011. "What Matters in Determining Capital Surcharges for Systemically Important Financial Institutions?," Discussion Papers 11-9, Bank of Canada.
  • Handle: RePEc:bca:bocadp:11-9
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    Citations

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    Cited by:

    1. Löffler, Gunter & Raupach, Peter, 2013. "Robustness and informativeness of systemic risk measures," Discussion Papers 04/2013, Deutsche Bundesbank.
    2. Busch, Ramona & Koziol, Philipp & Mitrovic, Marc, 2015. "Many a little makes a mickle: Macro portfolio stress test for small and medium-sized German banks," Discussion Papers 23/2015, Deutsche Bundesbank.
    3. Borio, Claudio & Drehmann, Mathias & Tsatsaronis, Kostas, 2014. "Stress-testing macro stress testing: Does it live up to expectations?," Journal of Financial Stability, Elsevier, vol. 12(C), pages 3-15.
    4. David Xiao Chen & H. Evren Damar & Hani Soubra & Yaz Terajima, 2012. "Canadian Bank Balance-Sheet Management: Breakdown by Types of Canadian Financial Institutions," Discussion Papers 12-7, Bank of Canada.
    5. Lu, Jing & Hu, Xiaohong, 2014. "Novel three-bank model for measuring the systemic importance of commercial banks," Economic Modelling, Elsevier, vol. 43(C), pages 238-246.

    More about this item

    Keywords

    Financial system regulation and policies;

    JEL classification:

    • G01 - Financial Economics - - General - - - Financial Crises
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy

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