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Hubs and resilience: towards more realistic models of the interbank markets

  • Mattia Montagna
  • Thomas Lux
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    This paper uses a toy financial system to study systemic risk in scale-free interbank networks. Networks are produced according to a fitness algorithm, combined with a representation of the balance sheets of the banks. Our generating processes for interbank networks are designed in a way to reproduce the frequently documented features of disassortative behavior, power laws in the degree distributions and power laws in the distribution of bank sizes. The results show the presence of a particular shell structure affecting the spread of an endogenous shock

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    File URL: https://www.ifw-members.ifw-kiel.de/publications/hubs-and-resilience-towards-more-realistic-models-of-the-interbank-markets-1/1826_KWP.pdf
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    Paper provided by Kiel Institute for the World Economy in its series Kiel Working Papers with number 1826.

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    Length: 26 pages
    Date of creation: Feb 2013
    Date of revision:
    Handle: RePEc:kie:kieliw:1826
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    1. 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.
    2. Memmel, Christoph & Sachs, Angelika, 2013. "Contagion in the interbank market and its determinants," Journal of Financial Stability, Elsevier, vol. 9(1), pages 46-54.
    3. 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.
    4. Michael Boss & Helmut Elsinger & Martin Summer & Stefan Thurner, 2004. "Network topology of the interbank market," Quantitative Finance, Taylor & Francis Journals, vol. 4(6), pages 677-684.
    5. Nier, Erlend & Yang, Jing & Yorulmazer, Tanju & Alentorn, Amadeo, 2008. "Network models and financial stability," Bank of England working papers 346, Bank of England.
    6. Cocco, João F. & Gomes, Francisco J. & Martins, Nuno C., 2009. "Lending relationships in the interbank market," Journal of Financial Intermediation, Elsevier, vol. 18(1), pages 24-48, January.
    7. Karl Finger & Daniel Fricke & Thomas Lux, 2012. "Network Analysis of the e-MID Overnight Money Market: The Informational Value of Different Aggregation Levels for Intrinsic Dynamic Processes," Kiel Working Papers 1782, Kiel Institute for the World Economy.
    8. Battiston, Stefano & Delli Gatti, Domenico & Gallegati, Mauro & Greenwald, Bruce & Stiglitz, Joseph E., 2012. "Liaisons dangereuses: Increasing connectivity, risk sharing, and systemic risk," Journal of Economic Dynamics and Control, Elsevier, vol. 36(8), pages 1121-1141.
    9. 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.
    10. Huberto M. Ennis, 2001. "On the size distribution of banks," Economic Quarterly, Federal Reserve Bank of Richmond, issue Fall, pages 1-25.
    11. Upper, Christian, 2011. "Simulation methods to assess the danger of contagion in interbank markets," Journal of Financial Stability, Elsevier, vol. 7(3), pages 111-125, August.
    12. de Masi, G. & Iori, G. & Caldarelli, G., 2006. "A fitness model for the Italian interbank money market," Working Papers 06/08, Department of Economics, City University London.
    13. Kimmo Soramaki & Morten L. Bech & Jeffrey Arnold & Robert J. Glass & Walter Beyeler, 2006. "The topology of interbank payment flows," Staff Reports 243, Federal Reserve Bank of New York.
    14. Gai, Prasanna & Haldane, Andrew & Kapadia, Sujit, 2011. "Complexity, concentration and contagion," Journal of Monetary Economics, Elsevier, vol. 58(5), pages 453-470.
    15. Hubert P. Janicki & Edward S. Prescott, 2006. "Changes in the size distribution of U.S. banks: 1960-2005," Economic Quarterly, Federal Reserve Bank of Richmond, issue Fall, pages 291-316.
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