Result prediction models in an agricultural cooperative

Detalhes bibliográficos
Autor(a) principal: Höher, Ricardo
Data de Publicação: 2023
Outros Autores: Fonseca, Fernando Sérgio de Toledo, Bento, Márcia Helena dos Santos, Rossés, Gustavo Fontinelli, Santos, Maríndia Brachak dos, Machado, Vagner Naysinger
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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spelling 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
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ark:/57118/jrg.v6i12.537.g571
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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
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collection Revista JRG de Estudos Acadêmicos
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repository.mail.fl_str_mv professorjonas@gmail.com||
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