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Shock Diffusion in Large Regular Networks: The Role of Transitive Cycles

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  • Noemí NAVARRO
  • H. Dan TRAN

Abstract

We study how the presence of transitive cycles in the interbank network affects the extent of financial contagion. In a regular network setting, where the same pattern of links repeats for each node, we allow an external shock to propagate losses through the system of linkages (interbank network). The extent of contagion (contagiousness) of the network is measured by the limit of the losses when the initial shock is diffused into an infinitely large network. This measure indicates how a network may or may not facilitate shock diffusion in spite of other external factors.\r\nOur analysis provides two main results. First, contagiousness decreases as the length of the minimal transitive cycle increases, keeping the degree of connectivity (density) constant. Secondly, as density increases the extent of contagion can decrease or increase, because the addition of new links might decrease the length of the minimal transitive cycle. Our results provide new insights to better understand systemic risk and could be used to build complementary indicators for financial regulation.

Suggested Citation

  • Noemí NAVARRO & H. Dan TRAN, 2018. "Shock Diffusion in Large Regular Networks: The Role of Transitive Cycles," Cahiers du GREThA (2007-2019) 2018-10, Groupe de Recherche en Economie Théorique et Appliquée (GREThA).
  • Handle: RePEc:grt:wpegrt:2018-10
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    File URL: http://cahiersdugretha.u-bordeaux.fr/2018/2018-10.pdf
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    References listed on IDEAS

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    More about this item

    Keywords

    Financial contagion; networks; shock diffusion; transitive cycles; degree.;
    All these keywords.

    JEL classification:

    • G33 - Financial Economics - - Corporate Finance and Governance - - - Bankruptcy; Liquidation
    • D85 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Network Formation
    • C69 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Other
    • C02 - Mathematical and Quantitative Methods - - General - - - Mathematical Economics

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