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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2018
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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. |
format | Online Article Text |
id | pubmed-5800548 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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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