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Dynamical analysis of the global business-cycle synchronization

This paper reports the dynamical analysis of the business cycles of 12 (developed and developing) countries over the last 56 years by applying computational techniques used for tackling complex systems. They reveal long-term convergence and country-level interconnections because of close contagion e...

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Detalles Bibliográficos
Autores principales: Lopes, António M., Tenreiro Machado, J. A., Huffstot, John S., Mata, Maria Eugénia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5800548/
https://www.ncbi.nlm.nih.gov/pubmed/29408909
http://dx.doi.org/10.1371/journal.pone.0191491
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author Lopes, António M.
Tenreiro Machado, J. A.
Huffstot, John S.
Mata, Maria Eugénia
author_facet Lopes, António M.
Tenreiro Machado, J. A.
Huffstot, John S.
Mata, Maria Eugénia
author_sort Lopes, António M.
collection PubMed
description This paper reports the dynamical analysis of the business cycles of 12 (developed and developing) countries over the last 56 years by applying computational techniques used for tackling complex systems. They reveal long-term convergence and country-level interconnections because of close contagion effects caused by bilateral networking exposure. Interconnectivity determines the magnitude of cross-border impacts. Local features and shock propagation complexity also may be true engines for local configuration of cycles. The algorithmic modeling proves to represent a solid approach to study the complex dynamics involved in the world economies.
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spelling pubmed-58005482018-02-23 Dynamical analysis of the global business-cycle synchronization Lopes, António M. Tenreiro Machado, J. A. Huffstot, John S. Mata, Maria Eugénia PLoS One Research Article This paper reports the dynamical analysis of the business cycles of 12 (developed and developing) countries over the last 56 years by applying computational techniques used for tackling complex systems. They reveal long-term convergence and country-level interconnections because of close contagion effects caused by bilateral networking exposure. Interconnectivity determines the magnitude of cross-border impacts. Local features and shock propagation complexity also may be true engines for local configuration of cycles. The algorithmic modeling proves to represent a solid approach to study the complex dynamics involved in the world economies. Public Library of Science 2018-02-06 /pmc/articles/PMC5800548/ /pubmed/29408909 http://dx.doi.org/10.1371/journal.pone.0191491 Text en © 2018 Lopes et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://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
Lopes, António M.
Tenreiro Machado, J. A.
Huffstot, John S.
Mata, Maria Eugénia
Dynamical analysis of the global business-cycle synchronization
title Dynamical analysis of the global business-cycle synchronization
title_full Dynamical analysis of the global business-cycle synchronization
title_fullStr Dynamical analysis of the global business-cycle synchronization
title_full_unstemmed Dynamical analysis of the global business-cycle synchronization
title_short Dynamical analysis of the global business-cycle synchronization
title_sort dynamical analysis of the global business-cycle synchronization
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5800548/
https://www.ncbi.nlm.nih.gov/pubmed/29408909
http://dx.doi.org/10.1371/journal.pone.0191491
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