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Causality and Cointegration Analysis between Macroeconomic Variables and the Bovespa

The aim of this study is to analyze the causality relationship among a set of macroeconomic variables, represented by the exchange rate, interest rate, inflation (CPI), industrial production index as a proxy for gross domestic product in relation to the index of the São Paulo Stock Exchange (Bovespa...

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Detalles Bibliográficos
Autores principales: da Silva, Fabiano Mello, Coronel, Daniel Arruda, Vieira, Kelmara Mendes
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3938836/
https://www.ncbi.nlm.nih.gov/pubmed/24587019
http://dx.doi.org/10.1371/journal.pone.0089765
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author da Silva, Fabiano Mello
Coronel, Daniel Arruda
Vieira, Kelmara Mendes
author_facet da Silva, Fabiano Mello
Coronel, Daniel Arruda
Vieira, Kelmara Mendes
author_sort da Silva, Fabiano Mello
collection PubMed
description The aim of this study is to analyze the causality relationship among a set of macroeconomic variables, represented by the exchange rate, interest rate, inflation (CPI), industrial production index as a proxy for gross domestic product in relation to the index of the São Paulo Stock Exchange (Bovespa). The period of analysis corresponded to the months from January 1995 to December 2010, making a total of 192 observations for each variable. Johansen tests, through the statistics of the trace and of the maximum eigenvalue, indicated the existence of at least one cointegration vector. In the analysis of Granger (1988) causality tests via error correction, it was found that a short-term causality existed between the CPI and the Bovespa. Regarding the Granger (1988) long-term causality, the results indicated a long-term behaviour among the macroeconomic variables with the BOVESPA. The results of the long-term normalized vector for the Bovespa variable showed that most signals of the cointegration equation parameters are in accordance with what is suggested by the economic theory. In other words, there was a positive behaviour of the GDP and a negative behaviour of the inflation and of the exchange rate (expected to be a positive relationship) in relation to the Bovespa, with the exception of the Selic rate, which was not significant with that index. The variance of the Bovespa was explained by itself in over 90% at the twelth month, followed by the country risk, with less than 5%.
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spelling pubmed-39388362014-03-04 Causality and Cointegration Analysis between Macroeconomic Variables and the Bovespa da Silva, Fabiano Mello Coronel, Daniel Arruda Vieira, Kelmara Mendes PLoS One Research Article The aim of this study is to analyze the causality relationship among a set of macroeconomic variables, represented by the exchange rate, interest rate, inflation (CPI), industrial production index as a proxy for gross domestic product in relation to the index of the São Paulo Stock Exchange (Bovespa). The period of analysis corresponded to the months from January 1995 to December 2010, making a total of 192 observations for each variable. Johansen tests, through the statistics of the trace and of the maximum eigenvalue, indicated the existence of at least one cointegration vector. In the analysis of Granger (1988) causality tests via error correction, it was found that a short-term causality existed between the CPI and the Bovespa. Regarding the Granger (1988) long-term causality, the results indicated a long-term behaviour among the macroeconomic variables with the BOVESPA. The results of the long-term normalized vector for the Bovespa variable showed that most signals of the cointegration equation parameters are in accordance with what is suggested by the economic theory. In other words, there was a positive behaviour of the GDP and a negative behaviour of the inflation and of the exchange rate (expected to be a positive relationship) in relation to the Bovespa, with the exception of the Selic rate, which was not significant with that index. The variance of the Bovespa was explained by itself in over 90% at the twelth month, followed by the country risk, with less than 5%. Public Library of Science 2014-02-28 /pmc/articles/PMC3938836/ /pubmed/24587019 http://dx.doi.org/10.1371/journal.pone.0089765 Text en © 2014 Silva 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
da Silva, Fabiano Mello
Coronel, Daniel Arruda
Vieira, Kelmara Mendes
Causality and Cointegration Analysis between Macroeconomic Variables and the Bovespa
title Causality and Cointegration Analysis between Macroeconomic Variables and the Bovespa
title_full Causality and Cointegration Analysis between Macroeconomic Variables and the Bovespa
title_fullStr Causality and Cointegration Analysis between Macroeconomic Variables and the Bovespa
title_full_unstemmed Causality and Cointegration Analysis between Macroeconomic Variables and the Bovespa
title_short Causality and Cointegration Analysis between Macroeconomic Variables and the Bovespa
title_sort causality and cointegration analysis between macroeconomic variables and the bovespa
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3938836/
https://www.ncbi.nlm.nih.gov/pubmed/24587019
http://dx.doi.org/10.1371/journal.pone.0089765
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