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A dynamic network model of the unsecured interbank lending market

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  • Blasques, Francisco
  • Bräuning, Falk
  • Lelyveld, Iman van

Abstract

We introduce a dynamic network model of interbank lending and estimate the parameters by indirect inference using network statistics of the Dutch interbank market from February 2008 to April 2011. We find that credit-risk uncertainty and peer monitoring are significant factors in explaining the sparse core-periphery structure of the market and the presence of relationship lending. Shocks to credit-risk uncertainty lead to extended periods of low market activity, intensified by reduced peer monitoring. Moreover, changes in the central bank’s interest rate corridor have both a direct effect on the market as well as an indirect effect by changing banks’ monitoring efforts.

Suggested Citation

  • Blasques, Francisco & Bräuning, Falk & Lelyveld, Iman van, 2018. "A dynamic network model of the unsecured interbank lending market," Journal of Economic Dynamics and Control, Elsevier, vol. 90(C), pages 310-342.
    • Handle: RePEc:eee:dyncon:v:90:y:2018:i:c:p:310-342
    DOI: 10.1016/j.jedc.2018.03.015
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    More about this item

    Keywords

    Interbank liquidity; Financial networks; Credit-risk uncertainty; Monitoring; Trading relationships; Indirect inference estimation;
    All these keywords.

    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy
    • G01 - Financial Economics - - General - - - Financial Crises
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages

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