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Interbank lending and distress: Observables, unobservables, and network structure

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  • Craig, Ben
  • Koetter, Michael
  • Krüger, Ulrich

Abstract

We provide empirical evidence on the relevance of systemic risk through the interbank lending channel. We adapt a spatial probit model that allows for correlated error terms in the cross-sectional variation that depend on the measured network connections of the banks. The latter are in our application observed interbank exposures among German bank holding companies during 2001 and 2006. The results clearly indicate significant spillover effects between banks' probabilities of distress and the financial profiles of connected peers. Better capitalized and managed connections reduce the banks own risk. Higher network centrality reduces the probability of distress, supporting the notion that more complete networks tend to be more stable. Finally, spatial autocorrelation is significant and negative. This last result may indicate too-many-to-fail mechanics such that bank distress is less likely if many peers already experienced distress.

Suggested Citation

  • Craig, Ben & Koetter, Michael & Krüger, Ulrich, 2014. "Interbank lending and distress: Observables, unobservables, and network structure," Discussion Papers 18/2014, Deutsche Bundesbank.
  • Handle: RePEc:zbw:bubdps:182014
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    References listed on IDEAS

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    1. Furfine, Craig, 2002. "The interbank market during a crisis," European Economic Review, Elsevier, vol. 46(4-5), pages 809-820, May.
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    Citations

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    Cited by:

    1. Fink, Kilian & Krüger, Ulrich & Meller, Barbara & Wong, Lui-Hsian, 2016. "The credit quality channel: Modeling contagion in the interbank market," Journal of Financial Stability, Elsevier, vol. 25(C), pages 83-97.
    2. Paul Glasserman & H. Peyton Young, 2015. "Contagion in Financial Markets," Working Papers 15-21, Office of Financial Research, US Department of the Treasury.
    3. Ding, Dong & Sickles, Robin C., 2018. "Capital Regulation, Efficiency, and Risk Taking: A Spatial Panel Analysis of U.S. Banks," Working Papers 18-004, Rice University, Department of Economics.

    More about this item

    Keywords

    Spatial Autoregression; interbank connections; bank risk;

    JEL classification:

    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages

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