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Completeness, interconnectedness and distribution of interbank exposures-a parameterized analysis of the stability of financial networks

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  • Angelika Sachs

Abstract

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 the 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.

Suggested Citation

  • Angelika Sachs, 2014. "Completeness, interconnectedness and distribution of interbank exposures-a parameterized analysis of the stability of financial networks," Quantitative Finance, Taylor & Francis Journals, vol. 14(9), pages 1677-1692, September.
  • Handle: RePEc:taf:quantf:v:14:y:2014:i:9:p:1677-1692
    DOI: 10.1080/14697688.2012.749421
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    References listed on IDEAS

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    1. Christian Upper, 2007. "Using counterfactual simulations to assess the danger of contagion in interbank markets," BIS Working Papers 234, Bank for International Settlements.
    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. Craig, Ben & von Peter, Goetz, 2014. "Interbank tiering and money center banks," Journal of Financial Intermediation, Elsevier, vol. 23(3), pages 322-347.
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    Cited by:

    1. Caballero, Julian & Candelaria, Christopher & Hale, Galina, 2018. "Bank linkages and international trade," Journal of International Economics, Elsevier, vol. 115(C), pages 30-47.
    2. Adrian Alter & Ben R. Craig & Peter Raupach, 2015. "Centrality-Based Capital Allocations," International Journal of Central Banking, International Journal of Central Banking, vol. 11(3), pages 329-377, June.
    3. Pino, Gabriel & Herrera, Rodrigo & Rodríguez, Alejandro, 2019. "Geographical spillovers on the relation between risk-taking and market power in the US banking sector," The North American Journal of Economics and Finance, Elsevier, vol. 47(C), pages 351-364.
    4. Paul Glasserman, 2015. "Contagion in Financial Networks," Economics Series Working Papers 764, University of Oxford, Department of Economics.
    5. Paul Glasserman & H. Peyton Young, 2015. "Contagion in Financial Markets," Working Papers 15-21, Office of Financial Research, US Department of the Treasury.
    6. Domenico Di Gangi & Fabrizio Lillo & Davide Pirino, 2015. "Assessing systemic risk due to fire sales spillover through maximum entropy network reconstruction," Papers 1509.00607, arXiv.org, revised Jul 2018.
    7. Pawe{l} Smaga & Mateusz Wili'nski & Piotr Ochnicki & Piotr Arendarski & Tomasz Gubiec, 2016. "Can banks default overnight? Modeling endogenous contagion on O/N interbank market," Papers 1603.05142, arXiv.org.
    8. Ozili, Peterson K, 2017. "Earnings Management in Interconnected Networks: A Perspective," MPRA Paper 92647, University Library of Munich, Germany.
    9. Paul Glasserman & H. Peyton Young, 2016. "Contagion in Financial Networks," Journal of Economic Literature, American Economic Association, vol. 54(3), pages 779-831, September.
    10. Di Gangi, Domenico & Lillo, Fabrizio & Pirino, Davide, 2018. "Assessing systemic risk due to fire sales spillover through maximum entropy network reconstruction," Journal of Economic Dynamics and Control, Elsevier, vol. 94(C), pages 117-141.
    11. repec:spr:annopr:v:254:y:2017:i:1:d:10.1007_s10479-017-2401-y is not listed on IDEAS
    12. Paolo Bartesaghi & Michele Benzi & Gian Paolo Clemente & Rosanna Grassi & Ernesto Estrada, 2019. "Risk-dependent centrality in economic and financial networks," Papers 1907.07908, arXiv.org, revised Nov 2019.
    13. Glasserman, Paul & Young, H. Peyton, 2016. "Contagion in financial networks," LSE Research Online Documents on Economics 68681, London School of Economics and Political Science, LSE Library.
    14. Matjaž Steinbacher & Mitja Steinbacher & Matej Steinbacher, 2016. "Robustness of banking networks to idiosyncratic and systemic shocks: a network-based approach," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 11(1), pages 95-117, April.

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