Impacts of El Niño southern oscillation on hedge strategies for Brazilian corn and soybean futures contracts
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Revista de Economia e Sociologia Rural |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-20032022000500201 |
Resumo: | Abstract: Climate influences the variations in soybean and corn prices; thus, we assessed the relationship between the El Niño Southern Oscillation (ENSO) with soybean-to-corn price ratio to determine potential impacts on price risk management. The commercial areas of Passo Fundo (RS), Cascavel (PR), Maringá (PR), Uberlândia (Triângulo Mineiro), and Sorriso (MT) covered in the study were chosen according to the MAPA edaphoclimatic classification. To estimate the effectiveness and optimal hedge ratio, the static and generalized model by Myers and Thompson (1989), adapted by Lien and Tse (2000), was used to include the cointegration approach in the analysis. The innovation of this study is the inclusion of the climate variable ENSO in this hedging approach. The findings showed that ENSO, especially La Niña, affects soybean-to-corn price ratio and hedge strategies. These results highlight the need to expand the use of futures contracts to reduce the price risk during the occurrence of ENSO events. |
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Impacts of El Niño southern oscillation on hedge strategies for Brazilian corn and soybean futures contractssoybeancorneffectivenessoptimal hedge ratiocross hedgeAbstract: Climate influences the variations in soybean and corn prices; thus, we assessed the relationship between the El Niño Southern Oscillation (ENSO) with soybean-to-corn price ratio to determine potential impacts on price risk management. The commercial areas of Passo Fundo (RS), Cascavel (PR), Maringá (PR), Uberlândia (Triângulo Mineiro), and Sorriso (MT) covered in the study were chosen according to the MAPA edaphoclimatic classification. To estimate the effectiveness and optimal hedge ratio, the static and generalized model by Myers and Thompson (1989), adapted by Lien and Tse (2000), was used to include the cointegration approach in the analysis. The innovation of this study is the inclusion of the climate variable ENSO in this hedging approach. The findings showed that ENSO, especially La Niña, affects soybean-to-corn price ratio and hedge strategies. These results highlight the need to expand the use of futures contracts to reduce the price risk during the occurrence of ENSO events.Sociedade Brasileira de Economia e Sociologia Rural2022-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-20032022000500201Revista de Economia e Sociologia Rural v.60 n.spe 2022reponame:Revista de Economia e Sociologia Ruralinstname:Sociedade Brasileira de Economia e Sociologia Rural (SBESR)instacron:SBESR10.1590/1806-9479.2021.250643info:eu-repo/semantics/openAccessFerreira,George Lucas MáximoTonin,Julyerme MatheusAlves,Alexandre Florindoeng2022-03-24T00:00:00Zoai:scielo:S0103-20032022000500201Revistahttps://www.revistasober.org/ONGhttps://old.scielo.br/oai/scielo-oai.phpsober@sober.org.br||resr@revistasober.org1806-94790103-2003opendoar:2022-03-24T00:00Revista de Economia e Sociologia Rural - Sociedade Brasileira de Economia e Sociologia Rural (SBESR)false |
dc.title.none.fl_str_mv |
Impacts of El Niño southern oscillation on hedge strategies for Brazilian corn and soybean futures contracts |
title |
Impacts of El Niño southern oscillation on hedge strategies for Brazilian corn and soybean futures contracts |
spellingShingle |
Impacts of El Niño southern oscillation on hedge strategies for Brazilian corn and soybean futures contracts Ferreira,George Lucas Máximo soybean corn effectiveness optimal hedge ratio cross hedge |
title_short |
Impacts of El Niño southern oscillation on hedge strategies for Brazilian corn and soybean futures contracts |
title_full |
Impacts of El Niño southern oscillation on hedge strategies for Brazilian corn and soybean futures contracts |
title_fullStr |
Impacts of El Niño southern oscillation on hedge strategies for Brazilian corn and soybean futures contracts |
title_full_unstemmed |
Impacts of El Niño southern oscillation on hedge strategies for Brazilian corn and soybean futures contracts |
title_sort |
Impacts of El Niño southern oscillation on hedge strategies for Brazilian corn and soybean futures contracts |
author |
Ferreira,George Lucas Máximo |
author_facet |
Ferreira,George Lucas Máximo Tonin,Julyerme Matheus Alves,Alexandre Florindo |
author_role |
author |
author2 |
Tonin,Julyerme Matheus Alves,Alexandre Florindo |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Ferreira,George Lucas Máximo Tonin,Julyerme Matheus Alves,Alexandre Florindo |
dc.subject.por.fl_str_mv |
soybean corn effectiveness optimal hedge ratio cross hedge |
topic |
soybean corn effectiveness optimal hedge ratio cross hedge |
description |
Abstract: Climate influences the variations in soybean and corn prices; thus, we assessed the relationship between the El Niño Southern Oscillation (ENSO) with soybean-to-corn price ratio to determine potential impacts on price risk management. The commercial areas of Passo Fundo (RS), Cascavel (PR), Maringá (PR), Uberlândia (Triângulo Mineiro), and Sorriso (MT) covered in the study were chosen according to the MAPA edaphoclimatic classification. To estimate the effectiveness and optimal hedge ratio, the static and generalized model by Myers and Thompson (1989), adapted by Lien and Tse (2000), was used to include the cointegration approach in the analysis. The innovation of this study is the inclusion of the climate variable ENSO in this hedging approach. The findings showed that ENSO, especially La Niña, affects soybean-to-corn price ratio and hedge strategies. These results highlight the need to expand the use of futures contracts to reduce the price risk during the occurrence of ENSO events. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-01-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-20032022000500201 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-20032022000500201 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/1806-9479.2021.250643 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
dc.publisher.none.fl_str_mv |
Sociedade Brasileira de Economia e Sociologia Rural |
publisher.none.fl_str_mv |
Sociedade Brasileira de Economia e Sociologia Rural |
dc.source.none.fl_str_mv |
Revista de Economia e Sociologia Rural v.60 n.spe 2022 reponame:Revista de Economia e Sociologia Rural instname:Sociedade Brasileira de Economia e Sociologia Rural (SBESR) instacron:SBESR |
instname_str |
Sociedade Brasileira de Economia e Sociologia Rural (SBESR) |
instacron_str |
SBESR |
institution |
SBESR |
reponame_str |
Revista de Economia e Sociologia Rural |
collection |
Revista de Economia e Sociologia Rural |
repository.name.fl_str_mv |
Revista de Economia e Sociologia Rural - Sociedade Brasileira de Economia e Sociologia Rural (SBESR) |
repository.mail.fl_str_mv |
sober@sober.org.br||resr@revistasober.org |
_version_ |
1752122558933630976 |