IDEAS home Printed from https://ideas.repec.org/p/zbw/ifwkwp/1830.html
   My bibliography  Save this paper

On assortative and disassortative mixing in scale-free networks: The case of interbank credit networks

Author

Listed:
  • Fricke, Daniel
  • Finger, Karl
  • Lux, Thomas

Abstract

Networks constructed from credit relationships in the interbank market have been found to exhibit disassortative mixing together with a scale-free degree distribution, in contrast to most social networks that are assortative and not necessarily scale-free. This provokes the question whether generating mechanisms for scale-free networks have enough flexibility to generate both assortative and disassortative structures depending on their parametrization. Using Monte-Carlo simulations, we show that scale-free networks with a small tail exponent tend to be disassortative. However, the simulations indicate also that the level of disassortativity is sensitive to changes in the scaling exponent and the density. A given combination of disassortativity, scaling of the degree distribution, and density in an empirical data set, might be hard or impossible to obtain from any of the known generating mechanisms for scale-free networks.

Suggested Citation

  • Fricke, Daniel & Finger, Karl & Lux, Thomas, 2013. "On assortative and disassortative mixing in scale-free networks: The case of interbank credit networks," Kiel Working Papers 1830, Kiel Institute for the World Economy (IfW).
  • Handle: RePEc:zbw:ifwkwp:1830
    as

    Download full text from publisher

    File URL: https://www.econstor.eu/bitstream/10419/69521/1/736095527.pdf
    Download Restriction: no

    References listed on IDEAS

    as
    1. 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.
    2. Beaupain, Renaud & Durré, Alain, 2013. "Central bank reserves and interbank market liquidity in the euro area," Journal of Financial Intermediation, Elsevier, vol. 22(2), pages 259-284.
    3. Michael D. König & Claudio J. Tessone & Yves Zenou, 2010. "From Assortative To Dissortative Networks: The Role Of Capacity Constraints," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 13(04), pages 483-499.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Daniel Grigat & Fabio Caccioli, 2017. "Reverse stress testing interbank networks," Papers 1702.08744, arXiv.org, revised Mar 2017.
    2. repec:spr:comgts:v:15:y:2018:i:1:d:10.1007_s10287-017-0293-6 is not listed on IDEAS
    3. L. Bargigli & G. di Iasio & L. Infante & F. Lillo & F. Pierobon, 2015. "The multiplex structure of interbank networks," Quantitative Finance, Taylor & Francis Journals, vol. 15(4), pages 673-691, April.
    4. Schrader, Klaus & Bencek, David & Laaser, Claus-Friedrich, 2013. "IfW-Krisencheck: Alles wieder gut in Griechenland?," Kiel Discussion Papers 522/523, Kiel Institute for the World Economy (IfW).
    5. Paolo Barucca & Fabrizio Lillo, 2015. "The organization of the interbank network and how ECB unconventional measures affected the e-MID overnight market," Papers 1511.08068, arXiv.org, revised Sep 2017.
    6. Lux, Thomas, 2014. "Emergence of a core-periphery structure in a simple dynamic model of the interbank market," Kiel Working Papers 1917, Kiel Institute for the World Economy (IfW).
    7. Yangbo Song & Mihaela Schaar, 2015. "Dynamic network formation with incomplete information," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 59(2), pages 301-331, June.
    8. Paolo Barucca & Fabrizio Lillo, 2015. "Disentangling bipartite and core-periphery structure in financial networks," Papers 1511.08830, arXiv.org.
    9. Lux, Thomas, 2014. "Emergence of a Core-Periphery Structure in a Simple Dynamic Model of the Interbank Market," FinMaP-Working Papers 3, Collaborative EU Project FinMaP - Financial Distortions and Macroeconomic Performance: Expectations, Constraints and Interaction of Agents.

    More about this item

    Keywords

    interbank market; network models; scale-free networks; powerlaw;

    JEL classification:

    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • G01 - Financial Economics - - General - - - Financial Crises
    • E42 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Monetary Sytsems; Standards; Regimes; Government and the Monetary System

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:zbw:ifwkwp:1830. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (ZBW - German National Library of Economics). General contact details of provider: http://edirc.repec.org/data/iwkiede.html .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.