Interference of macroeconomy in the performance of stock markets in Latin America and Asia
Autor(a) principal: | |
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Data de Publicação: | 2023 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | RACE (Joaçaba. Online) |
Texto Completo: | https://periodicos.unoesc.edu.br/race/article/view/29417 |
Resumo: | This research aims to investigate the effects of macroeconomic variables on stock market performance in Latin America and Asia. To achieve this objective, we considered data from 2000 to 2018 from nine countries located in Latin America and Asia, namely Brazil, Chile, China, India, Japan, Malaysia, Mexico, Peru, and Russia. The independent variables used in the work to determine the macroeconomic effects on the financial market were ec onomic freedom D(Ln(EF)), unemployment rate D(UNE), gross domestic product D(%ΔGDP) and exchange rate D(ER). We used the score of the local stock exchange D(SE) as a proxy for performance and as a dependent variable. Subsequently, multiple panel data regression was performed. The results show that all variables are significant at 10%. D(Ln(EF)) and D(ER) show a negative relation with D(SE), and D(UNE) and D(%ΔGDP) show a positive relation with D(SE). Important macroeconomic results with company performance. |
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Interference of macroeconomy in the performance of stock markets in Latin America and AsiaInterferência da macroeconomia no desempenho dos mercados de ações na América Latina e ÁsiaPanel DataPerformanceStock MarketNewey-WestMacroeconomic variablesPanel DataPerformanceStock MarketNewey-WestMacroeconomic variablesThis research aims to investigate the effects of macroeconomic variables on stock market performance in Latin America and Asia. To achieve this objective, we considered data from 2000 to 2018 from nine countries located in Latin America and Asia, namely Brazil, Chile, China, India, Japan, Malaysia, Mexico, Peru, and Russia. The independent variables used in the work to determine the macroeconomic effects on the financial market were ec onomic freedom D(Ln(EF)), unemployment rate D(UNE), gross domestic product D(%ΔGDP) and exchange rate D(ER). We used the score of the local stock exchange D(SE) as a proxy for performance and as a dependent variable. Subsequently, multiple panel data regression was performed. The results show that all variables are significant at 10%. D(Ln(EF)) and D(ER) show a negative relation with D(SE), and D(UNE) and D(%ΔGDP) show a positive relation with D(SE). Important macroeconomic results with company performance.Esta investigación tiene como objetivo analizar los impactos de los cambios en el desempeño del mercado de valores. Para lograr este objetivo, consideramos datos de 2000 a 2018 de nueve países ubicados en América Latina y Asia, a saber, Brasil, Chile, China, India, Japón, Malasia, México, Perú y Rusia. Las variables independientes utilizadas en el trabajo para determinar los efectos macroeconómicos sobre el mercado financiero fueron la libertad económica D (Ln (EF)), la tasa de desempleo D (UNE), el producto interno bruto D (% ΔPIB) y el tipo de cambio D (ER). Utilizamos el puntaje de la bolsa de valores local D (SE) como proxy del desempeño y como variable dependiente. Posteriormente, se realizó la regresión de datos de panel. Los resultados muestran que todas las variables son significativas al 10%. D (Ln (EF)) y D (ER) muestran una relación negativa con D (SE), y D (UNE) y D (% ΔPIB) muestran una relación positiva con D (SE).A presente pesquisa teve por objetivo analisar o impacto das variações no desempenho do mercado de ações. Para atingir o objetivo foram considerados dados de 2000 a 2018, de nove países situados na América Latina e Ásia, sendo eles: Brasil, Chile, China, Índia, Japão, Malásia, México, Peru e Rússia. As variáveis independentes utilizadas no trabalho para encontrar os efeitos macroeconômicos sobre o mercado financeiro foram a Liberdade Econômica D(Ln(EF)), Taxa de Desemprego D(DES), Produto Interno Bruto D(%Δ PIB) e Taxa de Câmbio D(TC). Ainda foi utilizada como proxy para o desempenho e como variável dependente a Pontuação da Bolsa de Valores Local D(BOLSA). Posteriormente foi feita a regressão por dados em painel. Os resultados mostraram que todas as variáveis são significativas a 10%, sendo que D(Ln(EF)) e D(TC) apresentaram relação negativa com D(BOLSA), enquanto D(DES) e D(%Δ PIB) apresentaram relação positiva com D(BOLSA).Universidade do Oeste de Santa Catarina2023-11-09info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdftext/htmlhttps://periodicos.unoesc.edu.br/race/article/view/2941710.18593/race.29417RACE - Revista de Administração, Contabilidade e Economia; Vol. 21 No. 2 (2022): RACE maio/ago. 2022; 241-260RACE - Revista de Administração, Contabilidade e Economia; v. 21 n. 2 (2022): RACE maio/ago. 2022; 241-2602179-49361678-6483reponame:RACE (Joaçaba. Online)instname:Universidade do Oeste de Santa Catarina (UNOESC)instacron:UNOESCenghttps://periodicos.unoesc.edu.br/race/article/view/29417/19173https://periodicos.unoesc.edu.br/race/article/view/29417/19186Copyright (c) 2023 Edgar Maria Ferreira da Costa, Rafael Martins Noriller, Maria Aparecida Farias de Souza Nogueira, Josimar Pires da Silvahttp://creativecommons.org/licenses/by-nc/4.0info:eu-repo/semantics/openAccessCosta, Edgar Maria Ferreira daMartins Noriller, RafaelNogueira, Maria Aparecida Farias de SouzaSilva, Josimar Pires da2023-11-30T18:16:53Zoai:ojs.periodicos.unoesc.edu.br:article/29417Revistahttps://portalperiodicos.unoesc.edu.br/racehttps://portalperiodicos.unoesc.edu.br/race/oairace@unoesc.edu.br||editora@unoesc.edu.br2179-49361678-6483opendoar:2023-11-30T18:16:53RACE (Joaçaba. Online) - Universidade do Oeste de Santa Catarina (UNOESC)false |
dc.title.none.fl_str_mv |
Interference of macroeconomy in the performance of stock markets in Latin America and Asia Interferência da macroeconomia no desempenho dos mercados de ações na América Latina e Ásia |
title |
Interference of macroeconomy in the performance of stock markets in Latin America and Asia |
spellingShingle |
Interference of macroeconomy in the performance of stock markets in Latin America and Asia Costa, Edgar Maria Ferreira da Panel Data Performance Stock Market Newey-West Macroeconomic variables Panel Data Performance Stock Market Newey-West Macroeconomic variables |
title_short |
Interference of macroeconomy in the performance of stock markets in Latin America and Asia |
title_full |
Interference of macroeconomy in the performance of stock markets in Latin America and Asia |
title_fullStr |
Interference of macroeconomy in the performance of stock markets in Latin America and Asia |
title_full_unstemmed |
Interference of macroeconomy in the performance of stock markets in Latin America and Asia |
title_sort |
Interference of macroeconomy in the performance of stock markets in Latin America and Asia |
author |
Costa, Edgar Maria Ferreira da |
author_facet |
Costa, Edgar Maria Ferreira da Martins Noriller, Rafael Nogueira, Maria Aparecida Farias de Souza Silva, Josimar Pires da |
author_role |
author |
author2 |
Martins Noriller, Rafael Nogueira, Maria Aparecida Farias de Souza Silva, Josimar Pires da |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
Costa, Edgar Maria Ferreira da Martins Noriller, Rafael Nogueira, Maria Aparecida Farias de Souza Silva, Josimar Pires da |
dc.subject.por.fl_str_mv |
Panel Data Performance Stock Market Newey-West Macroeconomic variables Panel Data Performance Stock Market Newey-West Macroeconomic variables |
topic |
Panel Data Performance Stock Market Newey-West Macroeconomic variables Panel Data Performance Stock Market Newey-West Macroeconomic variables |
description |
This research aims to investigate the effects of macroeconomic variables on stock market performance in Latin America and Asia. To achieve this objective, we considered data from 2000 to 2018 from nine countries located in Latin America and Asia, namely Brazil, Chile, China, India, Japan, Malaysia, Mexico, Peru, and Russia. The independent variables used in the work to determine the macroeconomic effects on the financial market were ec onomic freedom D(Ln(EF)), unemployment rate D(UNE), gross domestic product D(%ΔGDP) and exchange rate D(ER). We used the score of the local stock exchange D(SE) as a proxy for performance and as a dependent variable. Subsequently, multiple panel data regression was performed. The results show that all variables are significant at 10%. D(Ln(EF)) and D(ER) show a negative relation with D(SE), and D(UNE) and D(%ΔGDP) show a positive relation with D(SE). Important macroeconomic results with company performance. |
publishDate |
2023 |
dc.date.none.fl_str_mv |
2023-11-09 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://periodicos.unoesc.edu.br/race/article/view/29417 10.18593/race.29417 |
url |
https://periodicos.unoesc.edu.br/race/article/view/29417 |
identifier_str_mv |
10.18593/race.29417 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://periodicos.unoesc.edu.br/race/article/view/29417/19173 https://periodicos.unoesc.edu.br/race/article/view/29417/19186 |
dc.rights.driver.fl_str_mv |
http://creativecommons.org/licenses/by-nc/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
http://creativecommons.org/licenses/by-nc/4.0 |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf text/html |
dc.publisher.none.fl_str_mv |
Universidade do Oeste de Santa Catarina |
publisher.none.fl_str_mv |
Universidade do Oeste de Santa Catarina |
dc.source.none.fl_str_mv |
RACE - Revista de Administração, Contabilidade e Economia; Vol. 21 No. 2 (2022): RACE maio/ago. 2022; 241-260 RACE - Revista de Administração, Contabilidade e Economia; v. 21 n. 2 (2022): RACE maio/ago. 2022; 241-260 2179-4936 1678-6483 reponame:RACE (Joaçaba. Online) instname:Universidade do Oeste de Santa Catarina (UNOESC) instacron:UNOESC |
instname_str |
Universidade do Oeste de Santa Catarina (UNOESC) |
instacron_str |
UNOESC |
institution |
UNOESC |
reponame_str |
RACE (Joaçaba. Online) |
collection |
RACE (Joaçaba. Online) |
repository.name.fl_str_mv |
RACE (Joaçaba. Online) - Universidade do Oeste de Santa Catarina (UNOESC) |
repository.mail.fl_str_mv |
race@unoesc.edu.br||editora@unoesc.edu.br |
_version_ |
1800220428195594240 |