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Relation between regional uncertainty spillovers in the global banking system

Tungsong, S; Caccioli, F; Aste, T; (2018) Relation between regional uncertainty spillovers in the global banking system. Journal of Network Theory in Finance , 4 (2) pp. 1-23. 10.21314/JNTF.2018.040. Green open access

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Abstract

We report on time-varying network connectedness within three banking systems: North America (NA), the European Union (EU), and Southeast Asia (ASEAN). The original method by Diebold and Yilmaz is improved by using exponentially weighted daily returns and ridge regularization on vector autoregression (VAR) and forecast error variance decomposition (FEVD). We compute the total network connectedness for each of the three banking systems, which quantifies regional uncertainty. Results over rolling windows of 300 days during the period from January 2005 to October 2015 reveal changing uncertainty patterns which are similar across regions, with common peaks associated with identifiable exogenous events. Lead-lag relationships among changes of total network connectedness of the three systems, quantified by transfer entropy, reveal that uncertainties in the three regional systems are significantly causally related, with the NA system having the largest influence on EU and ASEAN.

Type: Article
Title: Relation between regional uncertainty spillovers in the global banking system
Open access status: An open access version is available from UCL Discovery
DOI: 10.21314/JNTF.2018.040
Publisher version: https://doi.org/10.21314/JNTF.2018.040
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Systemic risk; forecast error variance decomposition; connectedness; spillover effects
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science
URI: https://discovery.ucl.ac.uk/id/eprint/10079530
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