估计全球银行网络关联性

Estimating global bank network connectedness

Journal of Applied Econometrics · 2017
被引 546 · 同刊同年前 2%
人大 AABS 3

中文导读

使用LASSO方法估计2003-2014年全球前150家上市银行的网络关联性,发现股权关联性在地理上集中且在危机期间显著上升。

Abstract

Summary 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.

全球银行网络网络连通性LASSO方法系统性风险