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Modeling emergence of the interbank networks

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  • Kok, Christoffer
  • Hałaj, Grzegorz

Abstract

Interbank contagion has become a buzzword in the aftermath of the financial crisis that led to a series of shocks to the interbank market and to periods of pronounced market disruptions. However, little is known about how interbank networks are formed and about their sensitivity to changes in key bank parameters (for example, induced by common exogenous shocks or by regulatory initiatives). This paper aims to shed light on these issues by modelling endogenously the formation of interbank networks, which in turn allows for checking the sensitivity of interbank network structures and hence their underlying contagion risk to changes in market-driven parameters as well as to changes in regulatory measures such as large exposures limits. The sequential network formation mechanism presented in the paper is based on a portfolio optimisation model whereby banks allocate their interbank exposures while balancing the return and risk of counterparty default risk and the placements are accepted taking into account funding diversification benefits. The model offers some interesting insights into how key parameters may affect interbank network structures and can be a valuable tool for analysing the impact of various regulatory policy measures relating to banks' incentives to operate in the interbank market. JEL Classification: G21, C63, C78

Suggested Citation

  • Kok, Christoffer & Hałaj, Grzegorz, 2014. "Modeling emergence of the interbank networks," Working Paper Series 1646, European Central Bank.
  • Handle: RePEc:ecb:ecbwps:20141646
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    Citations

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    Cited by:

    1. Aldasoro, Iñaki & Delli Gatti, Domenico & Faia, Ester, 2017. "Bank networks: Contagion, systemic risk and prudential policy," Journal of Economic Behavior & Organization, Elsevier, vol. 142(C), pages 164-188.
    2. 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.
    3. Hüser, Anne-Caroline, 2015. "Too interconnected to fail: A survey of the interbank networks literature," SAFE Working Paper Series 91, Research Center SAFE - Sustainable Architecture for Finance in Europe, Goethe University Frankfurt.
    4. Lux, Thomas, 2014. "A Model of the Topology of the Bank-Firm Credit Network and Its Role as Channel of Contagion," FinMaP-Working Papers 19, Collaborative EU Project FinMaP - Financial Distortions and Macroeconomic Performance: Expectations, Constraints and Interaction of Agents.
    5. Matteo Serri & Guido Caldarelli & Giulio Cimini, 2016. "How the interbank market becomes systemically dangerous: an agent-based network model of financial distress propagation," Papers 1611.04311, arXiv.org.
    6. Matteo Chinazzi & Stefano Pegoraro & Giorgio Fagiolo, 2015. "Defuse the Bomb: Rewiring Interbank Networks," LEM Papers Series 2015/16, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.

    More about this item

    Keywords

    counterparty risk; interbank network; nancial contagion; nancial regulation;

    JEL classification:

    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • C78 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Bargaining Theory; Matching Theory

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