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Beyond the power law: Uncovering stylized facts in interbank networks

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  • Vandermarliere, Benjamin
  • Karas, Alexei
  • Ryckebusch, Jan
  • Schoors, Koen

Abstract

We use daily data on bilateral interbank exposures and monthly bank balance sheets to study network characteristics of the Russian interbank market over August 1998–October 2004. Specifically, we examine the distributions of (un)directed (un)weighted degree, nodal attributes (bank assets, capital and capital-to-assets ratio) and edge weights (loan size and counterparty exposure). We search for the theoretical distribution that fits the data best and report the “best” fit parameters.

Suggested Citation

  • Vandermarliere, Benjamin & Karas, Alexei & Ryckebusch, Jan & Schoors, Koen, 2015. "Beyond the power law: Uncovering stylized facts in interbank networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 428(C), pages 443-457.
    • Handle: RePEc:eee:phsmap:v:428:y:2015:i:c:p:443-457
    DOI: 10.1016/j.physa.2015.01.058
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    2. Degryse, Hans & Karas, Alexei & Schoors, Koen, 2019. "Relationship lending during a trust crisis on the interbank market: A friend in need is a friend indeed," Economics Letters, Elsevier, vol. 182(C), pages 1-4.
    3. Marnix Van Soom & Milan Van Den Heuvel & Jan Ryckebusch & Koen Schoors, 2019. "Loan Maturity Aggregation In Interbank Lending Networks Obscures Mesoscale Structure And Economic Functions," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 19/952, Ghent University, Faculty of Economics and Business Administration.
    4. Morteza Alaeddini & Philippe Madiès & Paul J. Reaidy & Julie Dugdale, 2023. "Interbank money market concerns and actors’ strategies—A systematic review of 21st century literature," Journal of Economic Surveys, Wiley Blackwell, vol. 37(2), pages 573-654, April.

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