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Completeness, interconnectedness and distribution of interbank exposures: A parameterized analysis of the stability of financial networks


  • Sachs, Angelika


This paper assesses the impact of a certain structure of interbank exposures on the stability of a stylized financial system. Given a certain balance sheet structure of financial institutions, a large number of valid matrices of interbank exposures is created by a random generator. Assuming a certain loss given default, domino effects are simulated. The main results are, first, that financial stability depends not only on the completeness and interconnectedness of the network but also on the distribution of interbank exposures within the system (measured by entropy). Second, looking at random graphs, the sign of the correlation between the degree of equality of the distribution of claims and financial stability depends on the connectivity of the financial system as well as on additional parameters that affect the vulnerability of the system to interbank contagion. Third, the more concentrated assets are within a money center model, the less stable it is. Fourth, a money center model with asset concentration among core banks is less stable than a random graph with banks of homogeneous size. Results obtained in this paper extend existing theoretical literature that exclusively focuses on completeness and interconnectedness of the network as well as empirical literature that exclusively focuses on one particular financial network.

Suggested Citation

  • Sachs, Angelika, 2010. "Completeness, interconnectedness and distribution of interbank exposures: A parameterized analysis of the stability of financial networks," Discussion Paper Series 2: Banking and Financial Studies 2010,08, Deutsche Bundesbank.
  • Handle: RePEc:zbw:bubdp2:201008

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    References listed on IDEAS

    1. Gai, Prasanna & Kapadia, Sujit, 2010. "Contagion in financial networks," Bank of England working papers 383, Bank of England.
    2. Marco A. Espinosa-Vega & Juan Solé, 2011. "Cross-border financial surveillance: a network perspective," Journal of Financial Economic Policy, Emerald Group Publishing, vol. 3(3), pages 182-205, August.
    3. Iman van Lelyveld & Franka Liedorp, 2006. "Interbank Contagion in the Dutch Banking Sector: A Sensitivity Analysis," International Journal of Central Banking, International Journal of Central Banking, vol. 2(2), May.
    4. Jorge A Chan-Lau, 2010. "Balance Sheet Network Analysis of Too-Connected-to-Fail Risk in Global and Domestic Banking Systems," IMF Working Papers 10/107, International Monetary Fund.
    5. Iori, Giulia & De Masi, Giulia & Precup, Ovidiu Vasile & Gabbi, Giampaolo & Caldarelli, Guido, 2008. "A network analysis of the Italian overnight money market," Journal of Economic Dynamics and Control, Elsevier, vol. 32(1), pages 259-278, January.
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    Cited by:

    1. Kurmaş AKDOĞAN & Burcu Deniz YILDIRIM, 2014. "Non-core Liabilities as an Indicator of Systemic Risk and a Liquidity Stress Test Application on Turkish Banking System," Iktisat Isletme ve Finans, Bilgesel Yayincilik, vol. 29(338), pages 39-66.
    2. Elahi, M.A., 2011. "Essays on financial fragility," Other publications TiSEM 882f55bb-10dc-4e49-95ef-e, Tilburg University, School of Economics and Management.
    3. Hale, Galina & Candelaria, Christopher & Caballero, Julian & Borisov, Sergey, 2013. "Bank Linkages and International Trade," Working Paper Series 2013-14, Federal Reserve Bank of San Francisco, revised 11 Feb 2016.
    4. Hale, Galina, 2012. "Bank relationships, business cycles, and financial crises," Journal of International Economics, Elsevier, vol. 88(2), pages 312-325.
    5. Hallissey, Niamh, 2016. "Interconnectedness of the Irish banking sector with the global financial system," Quarterly Bulletin Articles, Central Bank of Ireland, pages 66-82, January.
    6. E. Gaffeo & M. Molinari, 2015. "Interbank contagion and resolution procedures: inspecting the mechanism," Quantitative Finance, Taylor & Francis Journals, vol. 15(4), pages 637-652, April.

    More about this item


    domino effects; interbank lending; financial stability; contagion;

    JEL classification:

    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • G28 - Financial Economics - - Financial Institutions and Services - - - Government Policy and Regulation

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