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Friendship Between Banks: An Application of an Actor-Oriented Model of Network Formation on Interbank Credit Relations

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  • Finger, Karl
  • Lux, Thomas

Abstract

This paper investigates the driving forces behind banks' link formation in the interbank market by applying the stochastic actor oriented model (SAOM) developed in sociology. Our data consists of quarterly networks constructed from the transactions on an electronic platform (e-MID) over the period from 2001 to2010. Estimating the model for the time before and after the global financial crisis (GFC), shows relatively similar behavior over the complete period. We find that past trades are a significant predictor of future credit relations which indicates a strong role for the formation of lasting relationships between banks. We also find strong importance of size-related characteristics, but little influence of past interest rates. The major changes found for the period after the onset of the financial crisis are that: (1) large banks and those identified as 'core' intermediaries became even more popular and (2) indirect counterparty risk appears to be more of a concern as indicated by a higher tendency to avoid indirect exposure via clustering effects.

Suggested Citation

  • Finger, Karl & Lux, Thomas, 2014. "Friendship Between Banks: An Application of an Actor-Oriented Model of Network Formation on Interbank Credit Relations," FinMaP-Working Papers 1, Collaborative EU Project FinMaP - Financial Distortions and Macroeconomic Performance: Expectations, Constraints and Interaction of Agents.
    • Handle: RePEc:zbw:fmpwps:1
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    References listed on IDEAS

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    Cited by:

    1. Riedler, Jesper & Brueckbauer, Frank, 2017. "Evaluating regulation within an artificial financial system: A framework and its application to the liquidity coverage ratio regulation," ZEW Discussion Papers 17-022, ZEW - Leibniz Centre for European Economic Research.
    2. Poutineau, Jean-Christophe & Vermandel, Gauthier, 2017. "Global banking and the conduct of macroprudential policy in a monetary union," Journal of Macroeconomics, Elsevier, vol. 54(PB), pages 306-331.
    3. Lux, Thomas, 2016. "Network effects and systemic risk in the banking sector," FinMaP-Working Papers 62, Collaborative EU Project FinMaP - Financial Distortions and Macroeconomic Performance: Expectations, Constraints and Interaction of Agents.
    4. Yuri Biondi & Feng Zhou, 2019. "Interbank credit and the money manufacturing process: a systemic perspective on financial stability," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 14(3), pages 437-468, September.

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    More about this item

    Keywords

    interbank market; network formation; financial crisis;
    All these keywords.

    JEL classification:

    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • G1 - Financial Economics - - General Financial Markets
    • C35 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions

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