Analysis of time series of the soybean prices using the Recurrence Plot method
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Research, Society and Development |
Texto Completo: | https://rsdjournal.org/index.php/rsd/article/view/16771 |
Resumo: | Agribusiness is the activity that most moves the world economy, not only for the production of food for domestic consumption and export, but also for sustaining other economic sectors. Brazil is the country that stands out the most in this type of activity that has been growing since the last 40 years. The brazilian Agribusiness activity focused on the export market is concentrated, for the most part, on the production of agricultural commodities. Among them, one that has stood out is soybeans, which in 2020 led Brazil to become its largest producer and keeps the country in the ranking of the world's largest exporter. In view of the great economic importance of this grain for the country and the importance of investigating the possible impacts that financial crises may have on its price, this paper sought to present a study on the possible effects of the 2008 financial crisis (Subprime crisis) in the price of soybean. The daily soybean price data recorded between 07/29/1997 and 12/30/2020 by CEPEA-ESALQ/USP were then analyzed. The Recurrence Plot method and the Recurrence Quantification Analysis were used. The results showed that the Subprime crisis influenced the soybean price dynamics in a way that it started to show a higher degree of predictability in the post-crisis period, suggesting that the market of this commodity was more efficient before the crisis and that the foreign market of soy is more efficient than its domestic one. |
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Analysis of time series of the soybean prices using the Recurrence Plot methodAnálisis de series temporales de los precios de la soja mediante el método Gráfico de RecurrenciaAnálise de séries temporais dos preços da soja utilizando o método Gráfico de RecorrênciaAgricultural commodities Subprime crisesRecurrence PlotRecurrence quantification analysis.Commodities agrícolasCrisis SubprimeGráfico de RecurrenciaAnálisis de cuantificación de recurrencia.Commodities agrícolasCrise do SubprimeGráfico de RecorrênciaAnálise de quantificação de recorrência.Agribusiness is the activity that most moves the world economy, not only for the production of food for domestic consumption and export, but also for sustaining other economic sectors. Brazil is the country that stands out the most in this type of activity that has been growing since the last 40 years. The brazilian Agribusiness activity focused on the export market is concentrated, for the most part, on the production of agricultural commodities. Among them, one that has stood out is soybeans, which in 2020 led Brazil to become its largest producer and keeps the country in the ranking of the world's largest exporter. In view of the great economic importance of this grain for the country and the importance of investigating the possible impacts that financial crises may have on its price, this paper sought to present a study on the possible effects of the 2008 financial crisis (Subprime crisis) in the price of soybean. The daily soybean price data recorded between 07/29/1997 and 12/30/2020 by CEPEA-ESALQ/USP were then analyzed. The Recurrence Plot method and the Recurrence Quantification Analysis were used. The results showed that the Subprime crisis influenced the soybean price dynamics in a way that it started to show a higher degree of predictability in the post-crisis period, suggesting that the market of this commodity was more efficient before the crisis and that the foreign market of soy is more efficient than its domestic one.La agroindustria es la actividad que más mueve la economía mundial, no solo para la producción de alimentos para consumo interno y exportación, sino también para sostener otros sectores económicos. Brasil es el país que más se destaca en este tipo de actividad que viene creciendo durante los últimos 40 años. La actividad agroindustrial brasileña centrada en el mercado de exportación se concentra, en su mayor parte, en la producción de commodities agrícolas. Entre ellas, una que ha destacado es la soja en granos, que en 2020 llevó el Brasil a convertirse en su mayor productor y lo mantiene en el ranking de mayor exportador mundial. Dada la gran importancia económica de este grano para el país y la importancia de investigar posibles impactos que crisis financieras puedan tener en su precio, este trabajo buscó presentar un estudio sobre los posibles efectos de la crisis financiera de 2008 (crisis Subprime) en el precio de soja. Para esto, se analizaron los datos de precios diarios de soja registrados entre 29/07/1997 y 30/12/2020 por CEPEA-ESALQ/USP. Se utilizó el método Gráfico de Recurrencia y la Análisis de Cuantificación de Recurrencia. Los resultados mostraron que la crisis Subprime influyó en la dinámica del precio de la soja de forma que los datos mostraron mayor grado de previsibilidad en el período posterior a la crisis, sugiriendo que el mercado de esta commodity era más eficiente antes de la crisis y que el mercado externo de soja es más eficiente que su mercado doméstico.O Agronegócio é a atividade que mais movimenta a economia mundial, não só pela produção de alimentos destinados ao consumo interno e à exportação, como também por sustentar outros setores econômicos. O Brasil é o país que mais se destaca nesse tipo de atividade que vem crescendo desde os últimos 40 anos. A atividade brasileira do Agronegócio voltada ao mercado de exportação concentra-se, em sua maior parte, à produção de commodities agrícolas. Entre elas, uma que se tem destacado é a soja em grãos, que em 2020 levou o Brasil a se tornar seu maior produtor e o mantém no ranking de maior exportador mundial. Tendo em vista a grande importância econômica desse grão para o País e a importância de se investigarem os possíveis impactos que crises financeiras podem causar em seu preço, este trabalho buscou apresentar um estudo sobre os possíveis efeitos da crise financeira de 2008 (crise do Subprime) no preço da soja. Foram então analisados os dados diários do preço da soja registrados entre 29/07/1997 e 30/12/2020 pelo CEPEA-ESALQ/USP. Utilizou-se o método Gráfico de Recorrência e a Análise de Quantificação de Recorrência. Os resultados mostraram que a crise do Subprime influenciou a dinâmica de preços da soja de forma que ela passou a apresentar maior grau de previsibilidade no período pós-crise, sugerindo que o mercado dessa commodity era mais eficiente antes da crise e que o mercado externo da soja é mais eficiente que seu mercado interno.Research, Society and Development2021-07-02info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://rsdjournal.org/index.php/rsd/article/view/1677110.33448/rsd-v10i7.16771Research, Society and Development; Vol. 10 No. 7; e54510716771Research, Society and Development; Vol. 10 Núm. 7; e54510716771Research, Society and Development; v. 10 n. 7; e545107167712525-3409reponame:Research, Society and Developmentinstname:Universidade Federal de Itajubá (UNIFEI)instacron:UNIFEIporhttps://rsdjournal.org/index.php/rsd/article/view/16771/15099Copyright (c) 2021 Evellyn Cabral; Leika Irabele Tenório de Santana; Lidiane da Silva Araújo; Tatijana Stosichttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessCabral, EvellynSantana, Leika Irabele Tenório de Araújo, Lidiane da SilvaStosic, Tatijana2021-07-18T21:07:03Zoai:ojs.pkp.sfu.ca:article/16771Revistahttps://rsdjournal.org/index.php/rsd/indexPUBhttps://rsdjournal.org/index.php/rsd/oairsd.articles@gmail.com2525-34092525-3409opendoar:2024-01-17T09:37:14.275698Research, Society and Development - Universidade Federal de Itajubá (UNIFEI)false |
dc.title.none.fl_str_mv |
Analysis of time series of the soybean prices using the Recurrence Plot method Análisis de series temporales de los precios de la soja mediante el método Gráfico de Recurrencia Análise de séries temporais dos preços da soja utilizando o método Gráfico de Recorrência |
title |
Analysis of time series of the soybean prices using the Recurrence Plot method |
spellingShingle |
Analysis of time series of the soybean prices using the Recurrence Plot method Cabral, Evellyn Agricultural commodities Subprime crises Recurrence Plot Recurrence quantification analysis. Commodities agrícolas Crisis Subprime Gráfico de Recurrencia Análisis de cuantificación de recurrencia. Commodities agrícolas Crise do Subprime Gráfico de Recorrência Análise de quantificação de recorrência. |
title_short |
Analysis of time series of the soybean prices using the Recurrence Plot method |
title_full |
Analysis of time series of the soybean prices using the Recurrence Plot method |
title_fullStr |
Analysis of time series of the soybean prices using the Recurrence Plot method |
title_full_unstemmed |
Analysis of time series of the soybean prices using the Recurrence Plot method |
title_sort |
Analysis of time series of the soybean prices using the Recurrence Plot method |
author |
Cabral, Evellyn |
author_facet |
Cabral, Evellyn Santana, Leika Irabele Tenório de Araújo, Lidiane da Silva Stosic, Tatijana |
author_role |
author |
author2 |
Santana, Leika Irabele Tenório de Araújo, Lidiane da Silva Stosic, Tatijana |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
Cabral, Evellyn Santana, Leika Irabele Tenório de Araújo, Lidiane da Silva Stosic, Tatijana |
dc.subject.por.fl_str_mv |
Agricultural commodities Subprime crises Recurrence Plot Recurrence quantification analysis. Commodities agrícolas Crisis Subprime Gráfico de Recurrencia Análisis de cuantificación de recurrencia. Commodities agrícolas Crise do Subprime Gráfico de Recorrência Análise de quantificação de recorrência. |
topic |
Agricultural commodities Subprime crises Recurrence Plot Recurrence quantification analysis. Commodities agrícolas Crisis Subprime Gráfico de Recurrencia Análisis de cuantificación de recurrencia. Commodities agrícolas Crise do Subprime Gráfico de Recorrência Análise de quantificação de recorrência. |
description |
Agribusiness is the activity that most moves the world economy, not only for the production of food for domestic consumption and export, but also for sustaining other economic sectors. Brazil is the country that stands out the most in this type of activity that has been growing since the last 40 years. The brazilian Agribusiness activity focused on the export market is concentrated, for the most part, on the production of agricultural commodities. Among them, one that has stood out is soybeans, which in 2020 led Brazil to become its largest producer and keeps the country in the ranking of the world's largest exporter. In view of the great economic importance of this grain for the country and the importance of investigating the possible impacts that financial crises may have on its price, this paper sought to present a study on the possible effects of the 2008 financial crisis (Subprime crisis) in the price of soybean. The daily soybean price data recorded between 07/29/1997 and 12/30/2020 by CEPEA-ESALQ/USP were then analyzed. The Recurrence Plot method and the Recurrence Quantification Analysis were used. The results showed that the Subprime crisis influenced the soybean price dynamics in a way that it started to show a higher degree of predictability in the post-crisis period, suggesting that the market of this commodity was more efficient before the crisis and that the foreign market of soy is more efficient than its domestic one. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-07-02 |
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://rsdjournal.org/index.php/rsd/article/view/16771 10.33448/rsd-v10i7.16771 |
url |
https://rsdjournal.org/index.php/rsd/article/view/16771 |
identifier_str_mv |
10.33448/rsd-v10i7.16771 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://rsdjournal.org/index.php/rsd/article/view/16771/15099 |
dc.rights.driver.fl_str_mv |
https://creativecommons.org/licenses/by/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by/4.0 |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Research, Society and Development |
publisher.none.fl_str_mv |
Research, Society and Development |
dc.source.none.fl_str_mv |
Research, Society and Development; Vol. 10 No. 7; e54510716771 Research, Society and Development; Vol. 10 Núm. 7; e54510716771 Research, Society and Development; v. 10 n. 7; e54510716771 2525-3409 reponame:Research, Society and Development instname:Universidade Federal de Itajubá (UNIFEI) instacron:UNIFEI |
instname_str |
Universidade Federal de Itajubá (UNIFEI) |
instacron_str |
UNIFEI |
institution |
UNIFEI |
reponame_str |
Research, Society and Development |
collection |
Research, Society and Development |
repository.name.fl_str_mv |
Research, Society and Development - Universidade Federal de Itajubá (UNIFEI) |
repository.mail.fl_str_mv |
rsd.articles@gmail.com |
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1797052680931115008 |