NATIONAL BUREAU OF ECONOMIC RESEARCH
NATIONAL BUREAU OF ECONOMIC RESEARCH
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Estimating Global Bank Network Connectedness

Mert Demirer, Francis X. Diebold, Laura Liu, Kamil Yılmaz

NBER Working Paper No. 23140
Issued in February 2017
NBER Program(s):Asset Pricing Program, Economic Fluctuations and Growth Program, International Finance and Macroeconomics Program

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.

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Document Object Identifier (DOI): 10.3386/w23140

Published: Mert Demirer & Francis X. Diebold & Laura Liu & Kamil Yilmaz, 2018. "Estimating global bank network connectedness," Journal of Applied Econometrics, vol 33(1), pages 1-15. citation courtesy of

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