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Entropy-Based Analysis and Bioinformatics-Inspired Integration of Global Economic Information Transfer

The assessment of information transfer in the global economic network helps to understand the current environment and the outlook of an economy. Most approaches on global networks extract information transfer based mainly on a single variable. This paper establishes an entirely new bioinformatics-in...

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Autores principales: Kim, Jinkyu, Kim, Gunn, An, Sungbae, Kwon, Young-Kyun, Yoon, Sungroh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3534713/
https://www.ncbi.nlm.nih.gov/pubmed/23300959
http://dx.doi.org/10.1371/journal.pone.0051986
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author Kim, Jinkyu
Kim, Gunn
An, Sungbae
Kwon, Young-Kyun
Yoon, Sungroh
author_facet Kim, Jinkyu
Kim, Gunn
An, Sungbae
Kwon, Young-Kyun
Yoon, Sungroh
author_sort Kim, Jinkyu
collection PubMed
description The assessment of information transfer in the global economic network helps to understand the current environment and the outlook of an economy. Most approaches on global networks extract information transfer based mainly on a single variable. This paper establishes an entirely new bioinformatics-inspired approach to integrating information transfer derived from multiple variables and develops an international economic network accordingly. In the proposed methodology, we first construct the transfer entropies (TEs) between various intra- and inter-country pairs of economic time series variables, test their significances, and then use a weighted sum approach to aggregate information captured in each TE. Through a simulation study, the new method is shown to deliver better information integration compared to existing integration methods in that it can be applied even when intra-country variables are correlated. Empirical investigation with the real world data reveals that Western countries are more influential in the global economic network and that Japan has become less influential following the Asian currency crisis.
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spelling pubmed-35347132013-01-08 Entropy-Based Analysis and Bioinformatics-Inspired Integration of Global Economic Information Transfer Kim, Jinkyu Kim, Gunn An, Sungbae Kwon, Young-Kyun Yoon, Sungroh PLoS One Research Article The assessment of information transfer in the global economic network helps to understand the current environment and the outlook of an economy. Most approaches on global networks extract information transfer based mainly on a single variable. This paper establishes an entirely new bioinformatics-inspired approach to integrating information transfer derived from multiple variables and develops an international economic network accordingly. In the proposed methodology, we first construct the transfer entropies (TEs) between various intra- and inter-country pairs of economic time series variables, test their significances, and then use a weighted sum approach to aggregate information captured in each TE. Through a simulation study, the new method is shown to deliver better information integration compared to existing integration methods in that it can be applied even when intra-country variables are correlated. Empirical investigation with the real world data reveals that Western countries are more influential in the global economic network and that Japan has become less influential following the Asian currency crisis. Public Library of Science 2013-01-02 /pmc/articles/PMC3534713/ /pubmed/23300959 http://dx.doi.org/10.1371/journal.pone.0051986 Text en © 2013 Kim 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, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Kim, Jinkyu
Kim, Gunn
An, Sungbae
Kwon, Young-Kyun
Yoon, Sungroh
Entropy-Based Analysis and Bioinformatics-Inspired Integration of Global Economic Information Transfer
title Entropy-Based Analysis and Bioinformatics-Inspired Integration of Global Economic Information Transfer
title_full Entropy-Based Analysis and Bioinformatics-Inspired Integration of Global Economic Information Transfer
title_fullStr Entropy-Based Analysis and Bioinformatics-Inspired Integration of Global Economic Information Transfer
title_full_unstemmed Entropy-Based Analysis and Bioinformatics-Inspired Integration of Global Economic Information Transfer
title_short Entropy-Based Analysis and Bioinformatics-Inspired Integration of Global Economic Information Transfer
title_sort entropy-based analysis and bioinformatics-inspired integration of global economic information transfer
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3534713/
https://www.ncbi.nlm.nih.gov/pubmed/23300959
http://dx.doi.org/10.1371/journal.pone.0051986
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