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International tail risk connectedness: Network and determinants

Nguyen, Linh Hoang; Lambe, Brendan John

Authors

LINH NGUYEN LINH.NGUYEN2@NOTTINGHAM.AC.UK
Assistant Professor

Brendan John Lambe



Abstract

We construct a complete network of directional tail risk connectedness for 32 countries within a Least Absolute Shrinkage and Selection Operator (LASSO) Quantile Regression framework. In addition to highlighting the network's essential features, including the key drivers and receivers of tail risk, we reveal some striking new network determinants. These include the predominant role of economy size, as well as the negative net impact of economic linkages such as trade and capital flows in addition to capital stocks on cross-country tail risk connectedness.

Journal Article Type Article
Acceptance Date Mar 6, 2021
Online Publication Date Mar 12, 2021
Publication Date 2021-05
Deposit Date Aug 21, 2023
Publicly Available Date Aug 24, 2023
Journal Journal of International Financial Markets, Institutions and Money
Print ISSN 1042-4431
Electronic ISSN 1873-0612
Publisher Elsevier
Peer Reviewed Peer Reviewed
Volume 72
Article Number 101332
DOI https://doi.org/10.1016/j.intfin.2021.101332
Keywords Tail risk spillover; Contagion; International financial market; Economic linkage; Quantile regression
Public URL https://nottingham-repository.worktribe.com/output/24574652
Publisher URL https://www.sciencedirect.com/science/article/abs/pii/S1042443121000512?via%3Dihub

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