Estimating global bank network connectedness

B-Tier
Journal: Journal of Applied Econometrics
Year: 2018
Volume: 33
Issue: 1
Pages: 1-15

Authors (4)

Mert Demirer (not in RePEc) Francis X. Diebold (not in RePEc) Laura Liu (University of Pittsburgh) Kamil Yilmaz (Koç Üniversitesi)

Score contribution per author:

0.503 = (α=2.01 / 4 authors) × 1.0x B-tier

α: calibrated so average coauthorship-adjusted count equals average raw count

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.

Technical Details

RePEc Handle
repec:wly:japmet:v:33:y:2018:i:1:p:1-15
Journal Field
Econometrics
Author Count
4
Added to Database
2026-01-25