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Interbanking networks: towards a small financial world?

Author

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  • Sébastien Vivier-Lirimont

    (EUREQua)

Abstract

In a standard stylised frame derived from Diamond Dybvig, banks operate within a network of debt contracts. Working in network enables banks to decentralize a Pareto Optimal allocation while it is impossible if banks operate in isolation. However, this outcome depends on the architecture of the network which itself depends on network participant number and on the cost structure. In a general frame with no cost, two network structures only decentralize first best outcome. The first structure highlights a Small World property as banks must be bound together at a network distance that equals at maximum 2. The second structure exhibits a strict regular topology. The rise in the number of competing banks leads to a more than proportional rise in interbank lending operations. In a frame with positive cost, we prove a single architecture both minimizes aggregate costs and decentralizes first best outcome. However, this topology has little chance to emerge as it exhibits unbalanced cost sharing among players. Aggregate cost efficiency is indeed not compatible with individual cost minimization

Suggested Citation

  • Sébastien Vivier-Lirimont, 2004. "Interbanking networks: towards a small financial world?," Cahiers de la Maison des Sciences Economiques v04046, Université Panthéon-Sorbonne (Paris 1).
  • Handle: RePEc:mse:wpsorb:v04046
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    File URL: ftp://mse.univ-paris1.fr/pub/mse/cahiers2004/V04046.pdf
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    References listed on IDEAS

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    Cited by:

    1. Paolo Bartesaghi & Michele Benzi & Gian Paolo Clemente & Rosanna Grassi & Ernesto Estrada, 2019. "Risk-dependent centrality in economic and financial networks," Papers 1907.07908, arXiv.org, revised Apr 2020.
    2. Giansante, Simone & Chiarella, Carl & Sordi, Serena & Vercelli, Alessandro, 2012. "Structural contagion and vulnerability to unexpected liquidity shortfalls," Journal of Economic Behavior & Organization, Elsevier, vol. 83(3), pages 558-569.
    3. He, Jianmin & Sui, Xin & Li, Shouwei, 2016. "An endogenous model of the credit network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 441(C), pages 1-14.
    4. Krause, Andreas & Giansante, Simone, 2012. "Interbank lending and the spread of bank failures: A network model of systemic risk," Journal of Economic Behavior & Organization, Elsevier, vol. 83(3), pages 583-608.
    5. Leonidas Sandoval Junior, 2014. "Dynamics in two networks based on stocks of the US stock market," Business and Economics Working Papers 210, Unidade de Negocios e Economia, Insper.
    6. Shanshan Jiang & Hong Fan, 2019. "Systemic Risk in the Interbank Market with Overlapping Portfolios," Complexity, Hindawi, vol. 2019, pages 1-12, April.

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    Keywords

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    JEL classification:

    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • F34 - International Economics - - International Finance - - - International Lending and Debt Problems
    • C79 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Other

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