Razão ótima e efetividade do Hedge para a cultura da soja nos municípios de Rio Verde, Jataí e Cristalina no estado de Goiás
Autor(a) principal: | |
---|---|
Data de Publicação: | 2020 |
Tipo de documento: | Dissertação |
Idioma: | por |
Título da fonte: | Repositório Institucional da UFG |
dARK ID: | ark:/38995/0013000002wzr |
Texto Completo: | http://repositorio.bc.ufg.br/tede/handle/tede/10890 |
Resumo: | Given the complexity and volatility given to prices in the grain market, especially soybeans, risk management have become increasingly relevant. Because of this, this work proposed to present and estimate the effectiveness of the tools, related to futures, available for this action. The first step was the identification of the Base and Base Risk for the region under study, the three municipalities with the highest volume of soy production in the state of Goiás, Rio Verde, Jataí, and Cristalina. Subsequently, we sought to estimate the optimal ratio and effectiveness of the hedge using, for this purpose, models of minimum variance through theOLS. For that, daily Spot prices for soy were used for the cities of Rio Verde, Jataí, and Cristalina. As for future prices, adjustment prices were collected at the expiration of SJC soybean contracts at B3. The data obtained comprise the period from April / 2014 to June / 2019. To obtain the results with greater accuracy, the ADF and KPSS tests were applied to check the series stationarity. Among the proposed models, a hedging strategy that presents greater effectiveness in mit igating risks was the model proposed by Engle and Granger that uses an error correction mechanism, and Rio Verde was the city where the producer used or hedged a higher percentage of its production, 61.30%, reducing by about 51% of the price risks assumed in production. In Jataí, the risk reduction was 53.50%, with an OHR of 60.80%. The city where or hedge had the best result in terms of risk reduction was the municipality of Cristalina, where a reduction was 54%, with an OHR of 54.80%. |
id |
UFG-2_d1ff61dfbff2eeed3a8510de311b0462 |
---|---|
oai_identifier_str |
oai:repositorio.bc.ufg.br:tede/10890 |
network_acronym_str |
UFG-2 |
network_name_str |
Repositório Institucional da UFG |
repository_id_str |
|
spelling |
Cunha, Cleyzer Adrian dahttp://lattes.cnpq.br/8809108474226649Wander, Alcido ElenorCunha, Cleyzer Adrian daSilva Neto, Waldemiro Alcântara dahttp://lattes.cnpq.br/6097881552467712Souza, Géssica Pereira de2020-10-27T11:42:44Z2020-10-27T11:42:44Z2020-05-28SOUZA,G. P. Razão ótima e efetividade do Hedge para a cultura da soja nos municípios de Rio Verde, Jataí e Cristalina no estado de Goiás. 2020. 56 f. Dissertação (Mestrado em Agronegócio) - Universidade Federal de Goiás, Goiânia, 2020.http://repositorio.bc.ufg.br/tede/handle/tede/10890ark:/38995/0013000002wzrGiven the complexity and volatility given to prices in the grain market, especially soybeans, risk management have become increasingly relevant. Because of this, this work proposed to present and estimate the effectiveness of the tools, related to futures, available for this action. The first step was the identification of the Base and Base Risk for the region under study, the three municipalities with the highest volume of soy production in the state of Goiás, Rio Verde, Jataí, and Cristalina. Subsequently, we sought to estimate the optimal ratio and effectiveness of the hedge using, for this purpose, models of minimum variance through theOLS. For that, daily Spot prices for soy were used for the cities of Rio Verde, Jataí, and Cristalina. As for future prices, adjustment prices were collected at the expiration of SJC soybean contracts at B3. The data obtained comprise the period from April / 2014 to June / 2019. To obtain the results with greater accuracy, the ADF and KPSS tests were applied to check the series stationarity. Among the proposed models, a hedging strategy that presents greater effectiveness in mit igating risks was the model proposed by Engle and Granger that uses an error correction mechanism, and Rio Verde was the city where the producer used or hedged a higher percentage of its production, 61.30%, reducing by about 51% of the price risks assumed in production. In Jataí, the risk reduction was 53.50%, with an OHR of 60.80%. The city where or hedge had the best result in terms of risk reduction was the municipality of Cristalina, where a reduction was 54%, with an OHR of 54.80%.Tendo em vista a complexidade e volatidade conferida aos preços no mercado de grãos, especialmente da soja, o gerenciamento de riscos tem se feito cada vez mais relevante. Diante disto este trabalho se propôs a apresentar e estimar a efetividade das ferramentas, relacionadas a futuros, disponíveis para esta ação. O primeiro passo foi a identificação da Base e Risco de base para a região em estudo, os três municípios com maior volume de produção de soja no estado de Goiás, sendo eles Rio Verde, Jataí e Cristalina. Posteriormente buscou-se estimar a Razão ótima e efetividade do Hedge utilizando para isto modelos de mínima variância por meio do MQO. Para tanto, foram utilizadas as cotações Spot diárias da soja para os municípios de Rio Verde, Jataí e Cristalina. Já para os preços futuros, foram coletados os preços de ajuste no vencimento dos contratos da soja SJC na B3. Os dados obtidos compreendem o período de abril/2014 à junho/2019. Para obtenção dos resultados com maior acurácia foram aplicados os testes ADF e KPSS para verificação da estacionariedade das séries. Dentre os modelos propostos, a estratégia de hedge que apresentou maior efetividade na mitigação dos riscos, foi o modelo proposto por Engle e Granger adicionado um mecanismo de correção de erros, sendo que Rio Verde foi a cidade onde o produtor necessitaria realizar o hedge de um percentual maior de sua produção, 61,30%, reduzindo em cerca de 51% os riscos de preço assumidos na produção. Em Jataí, a redução dos riscos foi de 53,50%, com ROH de 60,80%. A cidade onde o hedge apresentou um melhor resultado em termos de redução de riscos, foi o município de Cristalina, onde a redução se daria em torno de 54%, com ROH de 54,80%.Submitted by Franciele Moreira (francielemoreyra@gmail.com) on 2020-10-26T21:28:06Z No. of bitstreams: 2 license_rdf: 805 bytes, checksum: 4460e5956bc1d1639be9ae6146a50347 (MD5) Dissertação - Géssica Pereira de Souza - 2020.pdf: 1005014 bytes, checksum: 033908e4e0c37d693b0ffa0b7c2a63dd (MD5)Approved for entry into archive by Luciana Ferreira (lucgeral@gmail.com) on 2020-10-27T11:42:44Z (GMT) No. of bitstreams: 2 license_rdf: 805 bytes, checksum: 4460e5956bc1d1639be9ae6146a50347 (MD5) Dissertação - Géssica Pereira de Souza - 2020.pdf: 1005014 bytes, checksum: 033908e4e0c37d693b0ffa0b7c2a63dd (MD5)Made available in DSpace on 2020-10-27T11:42:44Z (GMT). No. of bitstreams: 2 license_rdf: 805 bytes, checksum: 4460e5956bc1d1639be9ae6146a50347 (MD5) Dissertação - Géssica Pereira de Souza - 2020.pdf: 1005014 bytes, checksum: 033908e4e0c37d693b0ffa0b7c2a63dd (MD5) Previous issue date: 2020-05-28porUniversidade Federal de GoiásPrograma de Pós-graduação em Agronegócio (EA)UFGBrasilEscola de Agronomia - EA (RG)Attribution-NonCommercial-NoDerivatives 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessGestão de riscosMercado de sojaMínima variânciaMQORisk managementSoy marketMinimum VarianceOLSCIENCIAS AGRARIAS::AGRONOMIARazão ótima e efetividade do Hedge para a cultura da soja nos municípios de Rio Verde, Jataí e Cristalina no estado de GoiásOptimal ratio and Hedge effectiveness for a soybean crop in the municipalities of Rio Verde, Jataí and Crystalline in the state of Goiásinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesis45005005002151reponame:Repositório Institucional da UFGinstname:Universidade Federal de Goiás (UFG)instacron:UFGLICENSElicense.txtlicense.txttext/plain; charset=utf-81748http://repositorio.bc.ufg.br/tede/bitstreams/c5984987-ff4d-4a4e-aa56-5593daa81b18/download8a4605be74aa9ea9d79846c1fba20a33MD51CC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; charset=utf-8805http://repositorio.bc.ufg.br/tede/bitstreams/f56e6ef8-f64d-4628-8182-c90c3fac71ba/download4460e5956bc1d1639be9ae6146a50347MD52ORIGINALDissertação - Géssica Pereira de Souza - 2020.pdfDissertação - Géssica Pereira de Souza - 2020.pdfapplication/pdf1005014http://repositorio.bc.ufg.br/tede/bitstreams/7b70e579-5871-454f-973a-b1534b1ae1c6/download033908e4e0c37d693b0ffa0b7c2a63ddMD53tede/108902020-10-27 08:42:44.694http://creativecommons.org/licenses/by-nc-nd/4.0/Attribution-NonCommercial-NoDerivatives 4.0 Internationalopen.accessoai:repositorio.bc.ufg.br:tede/10890http://repositorio.bc.ufg.br/tedeRepositório InstitucionalPUBhttp://repositorio.bc.ufg.br/oai/requesttasesdissertacoes.bc@ufg.bropendoar:2020-10-27T11:42:44Repositório Institucional da UFG - Universidade Federal de Goiás (UFG)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 |
dc.title.pt_BR.fl_str_mv |
Razão ótima e efetividade do Hedge para a cultura da soja nos municípios de Rio Verde, Jataí e Cristalina no estado de Goiás |
dc.title.alternative.eng.fl_str_mv |
Optimal ratio and Hedge effectiveness for a soybean crop in the municipalities of Rio Verde, Jataí and Crystalline in the state of Goiás |
title |
Razão ótima e efetividade do Hedge para a cultura da soja nos municípios de Rio Verde, Jataí e Cristalina no estado de Goiás |
spellingShingle |
Razão ótima e efetividade do Hedge para a cultura da soja nos municípios de Rio Verde, Jataí e Cristalina no estado de Goiás Souza, Géssica Pereira de Gestão de riscos Mercado de soja Mínima variância MQO Risk management Soy market Minimum Variance OLS CIENCIAS AGRARIAS::AGRONOMIA |
title_short |
Razão ótima e efetividade do Hedge para a cultura da soja nos municípios de Rio Verde, Jataí e Cristalina no estado de Goiás |
title_full |
Razão ótima e efetividade do Hedge para a cultura da soja nos municípios de Rio Verde, Jataí e Cristalina no estado de Goiás |
title_fullStr |
Razão ótima e efetividade do Hedge para a cultura da soja nos municípios de Rio Verde, Jataí e Cristalina no estado de Goiás |
title_full_unstemmed |
Razão ótima e efetividade do Hedge para a cultura da soja nos municípios de Rio Verde, Jataí e Cristalina no estado de Goiás |
title_sort |
Razão ótima e efetividade do Hedge para a cultura da soja nos municípios de Rio Verde, Jataí e Cristalina no estado de Goiás |
author |
Souza, Géssica Pereira de |
author_facet |
Souza, Géssica Pereira de |
author_role |
author |
dc.contributor.advisor1.fl_str_mv |
Cunha, Cleyzer Adrian da |
dc.contributor.advisor1Lattes.fl_str_mv |
http://lattes.cnpq.br/8809108474226649 |
dc.contributor.referee1.fl_str_mv |
Wander, Alcido Elenor |
dc.contributor.referee2.fl_str_mv |
Cunha, Cleyzer Adrian da |
dc.contributor.referee3.fl_str_mv |
Silva Neto, Waldemiro Alcântara da |
dc.contributor.authorLattes.fl_str_mv |
http://lattes.cnpq.br/6097881552467712 |
dc.contributor.author.fl_str_mv |
Souza, Géssica Pereira de |
contributor_str_mv |
Cunha, Cleyzer Adrian da Wander, Alcido Elenor Cunha, Cleyzer Adrian da Silva Neto, Waldemiro Alcântara da |
dc.subject.por.fl_str_mv |
Gestão de riscos Mercado de soja Mínima variância MQO |
topic |
Gestão de riscos Mercado de soja Mínima variância MQO Risk management Soy market Minimum Variance OLS CIENCIAS AGRARIAS::AGRONOMIA |
dc.subject.eng.fl_str_mv |
Risk management Soy market Minimum Variance OLS |
dc.subject.cnpq.fl_str_mv |
CIENCIAS AGRARIAS::AGRONOMIA |
description |
Given the complexity and volatility given to prices in the grain market, especially soybeans, risk management have become increasingly relevant. Because of this, this work proposed to present and estimate the effectiveness of the tools, related to futures, available for this action. The first step was the identification of the Base and Base Risk for the region under study, the three municipalities with the highest volume of soy production in the state of Goiás, Rio Verde, Jataí, and Cristalina. Subsequently, we sought to estimate the optimal ratio and effectiveness of the hedge using, for this purpose, models of minimum variance through theOLS. For that, daily Spot prices for soy were used for the cities of Rio Verde, Jataí, and Cristalina. As for future prices, adjustment prices were collected at the expiration of SJC soybean contracts at B3. The data obtained comprise the period from April / 2014 to June / 2019. To obtain the results with greater accuracy, the ADF and KPSS tests were applied to check the series stationarity. Among the proposed models, a hedging strategy that presents greater effectiveness in mit igating risks was the model proposed by Engle and Granger that uses an error correction mechanism, and Rio Verde was the city where the producer used or hedged a higher percentage of its production, 61.30%, reducing by about 51% of the price risks assumed in production. In Jataí, the risk reduction was 53.50%, with an OHR of 60.80%. The city where or hedge had the best result in terms of risk reduction was the municipality of Cristalina, where a reduction was 54%, with an OHR of 54.80%. |
publishDate |
2020 |
dc.date.accessioned.fl_str_mv |
2020-10-27T11:42:44Z |
dc.date.available.fl_str_mv |
2020-10-27T11:42:44Z |
dc.date.issued.fl_str_mv |
2020-05-28 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/masterThesis |
format |
masterThesis |
status_str |
publishedVersion |
dc.identifier.citation.fl_str_mv |
SOUZA,G. P. Razão ótima e efetividade do Hedge para a cultura da soja nos municípios de Rio Verde, Jataí e Cristalina no estado de Goiás. 2020. 56 f. Dissertação (Mestrado em Agronegócio) - Universidade Federal de Goiás, Goiânia, 2020. |
dc.identifier.uri.fl_str_mv |
http://repositorio.bc.ufg.br/tede/handle/tede/10890 |
dc.identifier.dark.fl_str_mv |
ark:/38995/0013000002wzr |
identifier_str_mv |
SOUZA,G. P. Razão ótima e efetividade do Hedge para a cultura da soja nos municípios de Rio Verde, Jataí e Cristalina no estado de Goiás. 2020. 56 f. Dissertação (Mestrado em Agronegócio) - Universidade Federal de Goiás, Goiânia, 2020. ark:/38995/0013000002wzr |
url |
http://repositorio.bc.ufg.br/tede/handle/tede/10890 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.program.fl_str_mv |
4 |
dc.relation.confidence.fl_str_mv |
500 500 500 |
dc.relation.department.fl_str_mv |
2 |
dc.relation.cnpq.fl_str_mv |
151 |
dc.rights.driver.fl_str_mv |
Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/ info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/ |
eu_rights_str_mv |
openAccess |
dc.publisher.none.fl_str_mv |
Universidade Federal de Goiás |
dc.publisher.program.fl_str_mv |
Programa de Pós-graduação em Agronegócio (EA) |
dc.publisher.initials.fl_str_mv |
UFG |
dc.publisher.country.fl_str_mv |
Brasil |
dc.publisher.department.fl_str_mv |
Escola de Agronomia - EA (RG) |
publisher.none.fl_str_mv |
Universidade Federal de Goiás |
dc.source.none.fl_str_mv |
reponame:Repositório Institucional da UFG instname:Universidade Federal de Goiás (UFG) instacron:UFG |
instname_str |
Universidade Federal de Goiás (UFG) |
instacron_str |
UFG |
institution |
UFG |
reponame_str |
Repositório Institucional da UFG |
collection |
Repositório Institucional da UFG |
bitstream.url.fl_str_mv |
http://repositorio.bc.ufg.br/tede/bitstreams/c5984987-ff4d-4a4e-aa56-5593daa81b18/download http://repositorio.bc.ufg.br/tede/bitstreams/f56e6ef8-f64d-4628-8182-c90c3fac71ba/download http://repositorio.bc.ufg.br/tede/bitstreams/7b70e579-5871-454f-973a-b1534b1ae1c6/download |
bitstream.checksum.fl_str_mv |
8a4605be74aa9ea9d79846c1fba20a33 4460e5956bc1d1639be9ae6146a50347 033908e4e0c37d693b0ffa0b7c2a63dd |
bitstream.checksumAlgorithm.fl_str_mv |
MD5 MD5 MD5 |
repository.name.fl_str_mv |
Repositório Institucional da UFG - Universidade Federal de Goiás (UFG) |
repository.mail.fl_str_mv |
tasesdissertacoes.bc@ufg.br |
_version_ |
1815172540008497152 |