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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Public Library of Science (PLoS)
2014-01-01
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| Series: | PLoS ONE |
| Online Access: | https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0089765&type=printable |
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| author | Fabiano Mello da Silva Daniel Arruda Coronel Kelmara Mendes Vieira |
| author_facet | Fabiano Mello da Silva Daniel Arruda Coronel Kelmara Mendes Vieira |
| author_sort | Fabiano Mello da Silva |
| collection | DOAJ |
| 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 twelfth month, followed by the country risk, with less than 5%. |
| format | Article |
| id | doaj-art-91d21f9e95374dd69aaea1a539dd1eef |
| institution | OA Journals |
| issn | 1932-6203 |
| language | English |
| publishDate | 2014-01-01 |
| publisher | Public Library of Science (PLoS) |
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| series | PLoS ONE |
| spelling | doaj-art-91d21f9e95374dd69aaea1a539dd1eef2025-08-20T02:15:28ZengPublic Library of Science (PLoS)PLoS ONE1932-62032014-01-0192e8976510.1371/journal.pone.0089765Causality and cointegration analysis between macroeconomic variables and the Bovespa.Fabiano Mello da SilvaDaniel Arruda CoronelKelmara Mendes VieiraThe 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 twelfth month, followed by the country risk, with less than 5%.https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0089765&type=printable |
| spellingShingle | Fabiano Mello da Silva Daniel Arruda Coronel Kelmara Mendes Vieira Causality and cointegration analysis between macroeconomic variables and the Bovespa. PLoS ONE |
| 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 |
| url | https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0089765&type=printable |
| work_keys_str_mv | AT fabianomellodasilva causalityandcointegrationanalysisbetweenmacroeconomicvariablesandthebovespa AT danielarrudacoronel causalityandcointegrationanalysisbetweenmacroeconomicvariablesandthebovespa AT kelmaramendesvieira causalityandcointegrationanalysisbetweenmacroeconomicvariablesandthebovespa |