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The Multiplex Structure of Interbank Networks

  • Leonardo Bargigli

    (DISEI, Università degli Studi di Firenze)

  • Giovanni Di Iasio

    (Bank of Italy)

  • Luigi Infante
  • Fabrizio Lillo
  • Federico Pierobon

    (Bank of Italy - Banking and Finance Supervision Department)

The interbank market has a natural multiplex network representation. We employ a unique database of supervisory reports of Italian banks to the Banca d'Italia that includes all bilateral exposures broken down by maturity and by the secured and unsecured nature of the contract. We find that layers have different topological properties and persistence over time. The presence of a link in a layer is not a good predictor of the presence of the same link in other layers. Maximum entropy models reveal different unexpected substructures, such as network motifs, in different layers. Using the total interbank network or focusing on a specific layer as representative of the other layers provides a poor representation of interlinkages in the interbank market and could lead to biased estimation of systemic risk.

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Paper provided by Universita' degli Studi di Firenze, Dipartimento di Scienze per l'Economia e l'Impresa in its series Working Papers - Economics with number wp2013_26.rdf.

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Length: 42 pages
Date of creation: 2013
Date of revision:
Handle: RePEc:frz:wpaper:wp2013_26.rdf
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  1. Hamed Amini & Rama Cont & Andreea Minca, 2012. "Stress Testing The Resilience Of Financial Networks," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 15(01), pages 1250006-1-1.
  2. Thomas Lux, Daniel Fricke, 2012. "Core-Periphery Structure in the Overnight Money Market: Evidence from the e-MID Trading Platform," Kiel Working Papers 1759, Kiel Institute for the World Economy.
  3. Morten L. Bech & Enghin Atalay, 2008. "The topology of the federal funds market," Staff Reports 354, Federal Reserve Bank of New York.
  4. Paolo Emilio Mistrulli, 2007. "Assessing financial contagion in the interbank market: Maximum entropy versus observed interbank lending patterns," Temi di discussione (Economic working papers) 641, Bank of Italy, Economic Research and International Relations Area.
  5. Gara Afonso & Anna Kovner & Antoinette Schoar, 2010. "Stressed, not frozen: the Federal Funds market in the financial crisis," Staff Reports 437, Federal Reserve Bank of New York.
  6. Iori, G. & Masi, G. D. & Precup, O. V. & Gabbi, G. & Caldarelli, G., 2005. "A network analysis of the Italian oversight money market," Working Papers 05/05, Department of Economics, City University London.
  7. Soramäki, Kimmo & Bech, Morten L. & Arnold, Jeffrey & Glass, Robert J. & Beyeler, Walter E., 2007. "The topology of interbank payment flows," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 379(1), pages 317-333.
  8. Dennis Kuo & David Skeie & James Vickery & Thomas Youle, 2013. "Identifying term interbank loans from Fedwire payments data," Staff Reports 603, Federal Reserve Bank of New York.
  9. Bargigli, Leonardo & Gallegati, Mauro, 2011. "Random digraphs with given expected degree sequences: A model for economic networks," Journal of Economic Behavior & Organization, Elsevier, vol. 78(3), pages 396-411, May.
  10. Simone LENZU & Gabriele TEDESCHI, 2012. "Systemic risk on different interbank network topologies," Working Papers 375, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
  11. Daniel Fricke & Karl Finger & Thomas Lux, 2013. "On Assortative and Disassortative Mixing Scale-Free Networks: The Case of Interbank Credit Networks," Kiel Working Papers 1830, Kiel Institute for the World Economy.
  12. Christoffer Kok & Mattia Montagna, 2013. "Multi-layered Interbank Model for Assessing Systemic Risk," Kiel Working Papers 1873, Kiel Institute for the World Economy.
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