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Estimating Global Bank Network Connectedness

Author

Listed:
  • Mert Demirer
  • Francis X. Diebold
  • Laura Liu
  • Kamil Yılmaz

Abstract

We use LASSO methods to shrink, select and estimate the high-dimensional network linking the publicly-traded subset of the world's top 150 banks, 2003-2014. We characterize static network connectedness using full-sample estimation and dynamic network connectedness using rolling-window estimation. Statically, we find that global bank equity connectedness has a strong geographic component, whereas country sovereign bond connectedness does not. Dynamically, we find that equity connectedness increases during crises, with clear peaks during the Great Financial Crisis and each wave of the subsequent European Debt Crisis, and with movements coming mostly from changes in cross-country as opposed to within-country bank linkages.

Suggested Citation

  • Mert Demirer & Francis X. Diebold & Laura Liu & Kamil Yılmaz, 2017. "Estimating Global Bank Network Connectedness," NBER Working Papers 23140, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:23140
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    JEL classification:

    • C01 - Mathematical and Quantitative Methods - - General - - - Econometrics
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages

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