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Information flow dynamics between geopolitical risk and major asset returns

We quantify information flows between geopolitical risk (GPR) and global financial assets such as equity, bonds, and commodities, with a focus on the Russian-Ukrainian conflict. We combine transfer entropy and the I-CEEMDAN framework to measure information flows at multi-term scales. Our empirical r...

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Detalles Bibliográficos
Autores principales: Umar, Zaghum, Bossman, Ahmed, Choi, Sun-Yong, Vo, Xuan Vinh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10128946/
https://www.ncbi.nlm.nih.gov/pubmed/37098028
http://dx.doi.org/10.1371/journal.pone.0284811
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author Umar, Zaghum
Bossman, Ahmed
Choi, Sun-Yong
Vo, Xuan Vinh
author_facet Umar, Zaghum
Bossman, Ahmed
Choi, Sun-Yong
Vo, Xuan Vinh
author_sort Umar, Zaghum
collection PubMed
description We quantify information flows between geopolitical risk (GPR) and global financial assets such as equity, bonds, and commodities, with a focus on the Russian-Ukrainian conflict. We combine transfer entropy and the I-CEEMDAN framework to measure information flows at multi-term scales. Our empirical results indicate that (i) in the short term, crude oil and Russian equity show opposite responses to GPR; (ii) in the medium and long term, GPR information increases the risk in the financial market; and (iii) the efficiency of the financial asset markets can be confirmed on a long-term scale. These findings have important implications for market participants, such as investors, portfolio managers, and policymakers.
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spelling pubmed-101289462023-04-26 Information flow dynamics between geopolitical risk and major asset returns Umar, Zaghum Bossman, Ahmed Choi, Sun-Yong Vo, Xuan Vinh PLoS One Research Article We quantify information flows between geopolitical risk (GPR) and global financial assets such as equity, bonds, and commodities, with a focus on the Russian-Ukrainian conflict. We combine transfer entropy and the I-CEEMDAN framework to measure information flows at multi-term scales. Our empirical results indicate that (i) in the short term, crude oil and Russian equity show opposite responses to GPR; (ii) in the medium and long term, GPR information increases the risk in the financial market; and (iii) the efficiency of the financial asset markets can be confirmed on a long-term scale. These findings have important implications for market participants, such as investors, portfolio managers, and policymakers. Public Library of Science 2023-04-25 /pmc/articles/PMC10128946/ /pubmed/37098028 http://dx.doi.org/10.1371/journal.pone.0284811 Text en © 2023 Umar et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Umar, Zaghum
Bossman, Ahmed
Choi, Sun-Yong
Vo, Xuan Vinh
Information flow dynamics between geopolitical risk and major asset returns
title Information flow dynamics between geopolitical risk and major asset returns
title_full Information flow dynamics between geopolitical risk and major asset returns
title_fullStr Information flow dynamics between geopolitical risk and major asset returns
title_full_unstemmed Information flow dynamics between geopolitical risk and major asset returns
title_short Information flow dynamics between geopolitical risk and major asset returns
title_sort information flow dynamics between geopolitical risk and major asset returns
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10128946/
https://www.ncbi.nlm.nih.gov/pubmed/37098028
http://dx.doi.org/10.1371/journal.pone.0284811
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