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.

Year of Publication
2021
Journal
Journal of International Financial Markets, Institutions and Money
URL
https://www.sciencedirect.com/science/article/abs/pii/S1042443121000512?via%3Dihub
DOI
https://doi.org/10.1016/j.intfin.2021.101332
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International tail risk connectedness: Network and determinants

Associate Professor, Department of Finance

Citation: International tail risk connectedness: Network and determinants. Journal of International Financial Markets, Institutions and Money. 2021. doi:https://doi.org/10.1016/j.intfin.2021.101332

In: Journal of International Financial Markets, Institutions and Money

Published by: , 2021

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