Análise do comportamento temporal dos preços da borracha natural no mercado internacional
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Repositório Institucional da UFLA |
Texto Completo: | http://repositorio.ufla.br/jspui/handle/1/42115 |
Resumo: | This work analyzed the behavior of natural rubber prices in the international market from January 1982 to December 2006 in function of its aggregated demand and supply, pointing out the main producing and consuming countries. Specifically, the research studied the evolution of prices and of the marketed quantum of natural rubber in the international market. It was characterized, identified, estimated and analyzed models for the real monthly prices series of raw rubber RSS 1 (US$/t), and the accuracy of the estimated models for forecasting prices of this commodity was tested from Jan/2006 to Dez/2006. The studied models were of ARIMA-ARCH class. The main results were: the real natural rubber prices presented decreasing tendency in the period being studied; the ARIMA family estimated model indicating the existence of heteroskedasticity in the series, making it necessary to identify, to estimate and to analyze the models of ARCH family; the model which best adjusted the returns of the price series of the raw rubber RSS1 was AR(1)-GARCH(1,1); the models of the ARIMA family didn't satisfy the prognosis conditions of the series being studied; the AIR (1)-GARCH (1,1) model was accurate for forecasting rubber prices. |
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Análise do comportamento temporal dos preços da borracha natural no mercado internacionalTime series analysis of the behavior of natural rubber prices in the international marketEconomia florestalBorracha naturalSéries temporaisForest economyNatural rubberTime seriesThis work analyzed the behavior of natural rubber prices in the international market from January 1982 to December 2006 in function of its aggregated demand and supply, pointing out the main producing and consuming countries. Specifically, the research studied the evolution of prices and of the marketed quantum of natural rubber in the international market. It was characterized, identified, estimated and analyzed models for the real monthly prices series of raw rubber RSS 1 (US$/t), and the accuracy of the estimated models for forecasting prices of this commodity was tested from Jan/2006 to Dez/2006. The studied models were of ARIMA-ARCH class. The main results were: the real natural rubber prices presented decreasing tendency in the period being studied; the ARIMA family estimated model indicating the existence of heteroskedasticity in the series, making it necessary to identify, to estimate and to analyze the models of ARCH family; the model which best adjusted the returns of the price series of the raw rubber RSS1 was AR(1)-GARCH(1,1); the models of the ARIMA family didn't satisfy the prognosis conditions of the series being studied; the AIR (1)-GARCH (1,1) model was accurate for forecasting rubber prices.Este trabalho analisou o comportamento dos preços da borracha natural no mercado internacional, no período de janeiro de 1982 a dezembro de 2006, em função de sua oferta e demanda agregadas, evidenciando os principais países produtores e consumidores. Especificamente a pesquisa analisou a evolução dos preços e do quantum comercializado da borracha natural no mercado internacional. Caracterizou, identificou, estimou e analisou modelos para a série de preços reais mensais da borracha crua RSS 1 (US$/t) e; testou a precisão dos modelos estimados na previsão dos preços dessa commodity, no período de jan./2006 a dez./2006. Os modelos estudados foram das classes ARIMA-ARCH. Os principais resultados encontrados foram: 0s preços reais da borracha natural, no período estudado, apresentam tendência decrescente; A identificação e estimação dos modelos da família ARIMA mostraram a existência de heteroscedasticidade na série estudada e a necessidade de identificar, estimar e analisar os modelos da família ARCH; O modelo que melhor ajustou os retornos da série de preços da borracha crua RSS 1 foi o AR(1) para um GARCH(1,1); Os modelos da família ARIMA não satisfizeram as condições de previsão da série estudada; o modelo AR (1)-GARCH (1,1) se mostrou preciso para a realização de prognoses do preço da borracha.Universidade Federal de Santa Maria2020-07-24T18:11:52Z2020-07-24T18:11:52Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfCOELHO JÚNIOR, L. M. et al. Análise do comportamento temporal dos preços da borracha natural no mercado internacional. Ciência Florestal, Santa Maria, v. 19, n. 3, p. 293-303, jul./set. 2009.http://repositorio.ufla.br/jspui/handle/1/42115Ciência Florestalreponame:Repositório Institucional da UFLAinstname:Universidade Federal de Lavras (UFLA)instacron:UFLAAttribution-NonCommercial 4.0 Internationalhttp://creativecommons.org/licenses/by-nc/4.0/info:eu-repo/semantics/openAccessCoelho Junior, Luiz MoreiraRezende, José Luiz Pereira deSáfadi, ThelmaCalegário, Natalinopor2020-07-24T18:11:52Zoai:localhost:1/42115Repositório InstitucionalPUBhttp://repositorio.ufla.br/oai/requestnivaldo@ufla.br || repositorio.biblioteca@ufla.bropendoar:2020-07-24T18:11:52Repositório Institucional da UFLA - Universidade Federal de Lavras (UFLA)false |
dc.title.none.fl_str_mv |
Análise do comportamento temporal dos preços da borracha natural no mercado internacional Time series analysis of the behavior of natural rubber prices in the international market |
title |
Análise do comportamento temporal dos preços da borracha natural no mercado internacional |
spellingShingle |
Análise do comportamento temporal dos preços da borracha natural no mercado internacional Coelho Junior, Luiz Moreira Economia florestal Borracha natural Séries temporais Forest economy Natural rubber Time series |
title_short |
Análise do comportamento temporal dos preços da borracha natural no mercado internacional |
title_full |
Análise do comportamento temporal dos preços da borracha natural no mercado internacional |
title_fullStr |
Análise do comportamento temporal dos preços da borracha natural no mercado internacional |
title_full_unstemmed |
Análise do comportamento temporal dos preços da borracha natural no mercado internacional |
title_sort |
Análise do comportamento temporal dos preços da borracha natural no mercado internacional |
author |
Coelho Junior, Luiz Moreira |
author_facet |
Coelho Junior, Luiz Moreira Rezende, José Luiz Pereira de Sáfadi, Thelma Calegário, Natalino |
author_role |
author |
author2 |
Rezende, José Luiz Pereira de Sáfadi, Thelma Calegário, Natalino |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
Coelho Junior, Luiz Moreira Rezende, José Luiz Pereira de Sáfadi, Thelma Calegário, Natalino |
dc.subject.por.fl_str_mv |
Economia florestal Borracha natural Séries temporais Forest economy Natural rubber Time series |
topic |
Economia florestal Borracha natural Séries temporais Forest economy Natural rubber Time series |
description |
This work analyzed the behavior of natural rubber prices in the international market from January 1982 to December 2006 in function of its aggregated demand and supply, pointing out the main producing and consuming countries. Specifically, the research studied the evolution of prices and of the marketed quantum of natural rubber in the international market. It was characterized, identified, estimated and analyzed models for the real monthly prices series of raw rubber RSS 1 (US$/t), and the accuracy of the estimated models for forecasting prices of this commodity was tested from Jan/2006 to Dez/2006. The studied models were of ARIMA-ARCH class. The main results were: the real natural rubber prices presented decreasing tendency in the period being studied; the ARIMA family estimated model indicating the existence of heteroskedasticity in the series, making it necessary to identify, to estimate and to analyze the models of ARCH family; the model which best adjusted the returns of the price series of the raw rubber RSS1 was AR(1)-GARCH(1,1); the models of the ARIMA family didn't satisfy the prognosis conditions of the series being studied; the AIR (1)-GARCH (1,1) model was accurate for forecasting rubber prices. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-07-24T18:11:52Z 2020-07-24T18:11:52Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
COELHO JÚNIOR, L. M. et al. Análise do comportamento temporal dos preços da borracha natural no mercado internacional. Ciência Florestal, Santa Maria, v. 19, n. 3, p. 293-303, jul./set. 2009. http://repositorio.ufla.br/jspui/handle/1/42115 |
identifier_str_mv |
COELHO JÚNIOR, L. M. et al. Análise do comportamento temporal dos preços da borracha natural no mercado internacional. Ciência Florestal, Santa Maria, v. 19, n. 3, p. 293-303, jul./set. 2009. |
url |
http://repositorio.ufla.br/jspui/handle/1/42115 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.rights.driver.fl_str_mv |
Attribution-NonCommercial 4.0 International http://creativecommons.org/licenses/by-nc/4.0/ info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Attribution-NonCommercial 4.0 International http://creativecommons.org/licenses/by-nc/4.0/ |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Universidade Federal de Santa Maria |
publisher.none.fl_str_mv |
Universidade Federal de Santa Maria |
dc.source.none.fl_str_mv |
Ciência Florestal reponame:Repositório Institucional da UFLA instname:Universidade Federal de Lavras (UFLA) instacron:UFLA |
instname_str |
Universidade Federal de Lavras (UFLA) |
instacron_str |
UFLA |
institution |
UFLA |
reponame_str |
Repositório Institucional da UFLA |
collection |
Repositório Institucional da UFLA |
repository.name.fl_str_mv |
Repositório Institucional da UFLA - Universidade Federal de Lavras (UFLA) |
repository.mail.fl_str_mv |
nivaldo@ufla.br || repositorio.biblioteca@ufla.br |
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1815439263381061632 |