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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2013
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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. |
format | Online Article Text |
id | pubmed-3534713 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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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