Result prediction models in an agricultural cooperative
Autor(a) principal: | |
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Data de Publicação: | 2023 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Revista JRG de Estudos Acadêmicos |
Texto Completo: | http://revistajrg.com/index.php/jrg/article/view/537 |
Resumo: | This article aimed to present models for forecasting the result of the CAMNPAL cooperative. Regarding the methodological aspects, the research is characterized as descriptive research, with a quantitative approach, applied at the CAMNPAL Cooperative, based on the financial statements for the period from 2007 to 2018. For data analysis, econometric techniques were used, applying a multiple linear regression (OLS), a quantile regression, comparing the results of both, and a forecast using the vector autoregressive method - VAR. The results of this study showed that the methods used were adequate for predicting results, that is, they indicated that the information and techniques used were capable of estimating future results. |
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Result prediction models in an agricultural cooperative Modelos de previsão de resultado em uma cooperativa agropecuáriaCooperativa agropecuáriaMétodos econométricosEstimativa de resultadosAgricultural cooperativeEconometric methodsEstimation of resultsThis article aimed to present models for forecasting the result of the CAMNPAL cooperative. Regarding the methodological aspects, the research is characterized as descriptive research, with a quantitative approach, applied at the CAMNPAL Cooperative, based on the financial statements for the period from 2007 to 2018. For data analysis, econometric techniques were used, applying a multiple linear regression (OLS), a quantile regression, comparing the results of both, and a forecast using the vector autoregressive method - VAR. The results of this study showed that the methods used were adequate for predicting results, that is, they indicated that the information and techniques used were capable of estimating future results. O presente artigo teve por objetivo apresentar modelos para previsão de resultado da cooperativa CAMNPAL. No que tange os aspectos metodológicos a pesquisa caracteriza-se como uma pesquisa descritiva, com abordagem quantitativa, aplicada na Cooperativa CAMNPAL, com base nas demonstrações financeiras do período de 2007 a 2018 Para análise dos dados foram utilizadas técnicas econométricas, aplicando uma regressão linear múltipla (MQO), uma regressão quantílica, comparando o resultado das duas, e uma previsão por meio do método de vetores auto regressivos - VAR. Os resultados deste estudo apresentaram que os métodos utilizados foram adequados para previsão de resultados, ou seja, indicaram que as informações e a técnicas utilizadas foram capazes de estimar os resultados futuros.Editora JRG2023-05-10info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionArtigo avaliado pelos Paresapplication/pdfhttp://revistajrg.com/index.php/jrg/article/view/53710.55892/jrg.v6i12.537ark:/57118/JRG.v6i12.537JRG Journal of Academic Studies; Vol. 6 No. 12 (2023): Revista JRG de Estudos Acadêmicos; 658-670JRG Journal of Academic Studies ; Vol. 6 Núm. 12 (2023): Revista JRG de Estudos Acadêmicos; 658-670JRG Journal of Academic Studies; V. 6 N. 12 (2023): Revista JRG de Estudos Acadêmicos; 658-670Revista JRG de Estudos Acadêmicos ; v. 6 n. 12 (2023): Revista JRG de Estudos Acadêmicos; 658-6702595-1661ark:/57118/jrg.v6i12reponame:Revista JRG de Estudos Acadêmicosinstname:Editora JRGinstacron:JRGporhttp://revistajrg.com/index.php/jrg/article/view/537/571ark:/57118/jrg.v6i12.537.g571https://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessHöher, RicardoFonseca, Fernando Sérgio de Toledo Bento, Márcia Helena dos SantosRossés, Gustavo FontinelliSantos, Maríndia Brachak dosMachado, Vagner Naysinger2023-05-08T21:10:28Zoai:ojs2.revistajrg.com:article/537Revistahttp://revistajrg.com/index.php/jrgPRIhttp://revistajrg.com/index.php/jrg/oaiprofessorjonas@gmail.com||2595-16612595-1661opendoar:2023-05-08T21:10:28Revista JRG de Estudos Acadêmicos - Editora JRGfalse |
dc.title.none.fl_str_mv |
Result prediction models in an agricultural cooperative Modelos de previsão de resultado em uma cooperativa agropecuária |
title |
Result prediction models in an agricultural cooperative |
spellingShingle |
Result prediction models in an agricultural cooperative Höher, Ricardo Cooperativa agropecuária Métodos econométricos Estimativa de resultados Agricultural cooperative Econometric methods Estimation of results |
title_short |
Result prediction models in an agricultural cooperative |
title_full |
Result prediction models in an agricultural cooperative |
title_fullStr |
Result prediction models in an agricultural cooperative |
title_full_unstemmed |
Result prediction models in an agricultural cooperative |
title_sort |
Result prediction models in an agricultural cooperative |
author |
Höher, Ricardo |
author_facet |
Höher, Ricardo Fonseca, Fernando Sérgio de Toledo Bento, Márcia Helena dos Santos Rossés, Gustavo Fontinelli Santos, Maríndia Brachak dos Machado, Vagner Naysinger |
author_role |
author |
author2 |
Fonseca, Fernando Sérgio de Toledo Bento, Márcia Helena dos Santos Rossés, Gustavo Fontinelli Santos, Maríndia Brachak dos Machado, Vagner Naysinger |
author2_role |
author author author author author |
dc.contributor.author.fl_str_mv |
Höher, Ricardo Fonseca, Fernando Sérgio de Toledo Bento, Márcia Helena dos Santos Rossés, Gustavo Fontinelli Santos, Maríndia Brachak dos Machado, Vagner Naysinger |
dc.subject.por.fl_str_mv |
Cooperativa agropecuária Métodos econométricos Estimativa de resultados Agricultural cooperative Econometric methods Estimation of results |
topic |
Cooperativa agropecuária Métodos econométricos Estimativa de resultados Agricultural cooperative Econometric methods Estimation of results |
description |
This article aimed to present models for forecasting the result of the CAMNPAL cooperative. Regarding the methodological aspects, the research is characterized as descriptive research, with a quantitative approach, applied at the CAMNPAL Cooperative, based on the financial statements for the period from 2007 to 2018. For data analysis, econometric techniques were used, applying a multiple linear regression (OLS), a quantile regression, comparing the results of both, and a forecast using the vector autoregressive method - VAR. The results of this study showed that the methods used were adequate for predicting results, that is, they indicated that the information and techniques used were capable of estimating future results. |
publishDate |
2023 |
dc.date.none.fl_str_mv |
2023-05-10 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Artigo avaliado pelos Pares |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://revistajrg.com/index.php/jrg/article/view/537 10.55892/jrg.v6i12.537 ark:/57118/JRG.v6i12.537 |
url |
http://revistajrg.com/index.php/jrg/article/view/537 |
identifier_str_mv |
10.55892/jrg.v6i12.537 ark:/57118/JRG.v6i12.537 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
http://revistajrg.com/index.php/jrg/article/view/537/571 ark:/57118/jrg.v6i12.537.g571 |
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 |
Editora JRG |
publisher.none.fl_str_mv |
Editora JRG |
dc.source.none.fl_str_mv |
JRG Journal of Academic Studies; Vol. 6 No. 12 (2023): Revista JRG de Estudos Acadêmicos; 658-670 JRG Journal of Academic Studies ; Vol. 6 Núm. 12 (2023): Revista JRG de Estudos Acadêmicos; 658-670 JRG Journal of Academic Studies; V. 6 N. 12 (2023): Revista JRG de Estudos Acadêmicos; 658-670 Revista JRG de Estudos Acadêmicos ; v. 6 n. 12 (2023): Revista JRG de Estudos Acadêmicos; 658-670 2595-1661 ark:/57118/jrg.v6i12 reponame:Revista JRG de Estudos Acadêmicos instname:Editora JRG instacron:JRG |
instname_str |
Editora JRG |
instacron_str |
JRG |
institution |
JRG |
reponame_str |
Revista JRG de Estudos Acadêmicos |
collection |
Revista JRG de Estudos Acadêmicos |
repository.name.fl_str_mv |
Revista JRG de Estudos Acadêmicos - Editora JRG |
repository.mail.fl_str_mv |
professorjonas@gmail.com|| |
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1797068981315567616 |