Detalhes bibliográficos
Título da fonte: Repositório Institucional da UFMG
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oai_identifier_str oai:repositorio.ufmg.br:1843/59094
network_acronym_str UFMG
network_name_str Repositório Institucional da UFMG
repository_id_str
reponame_str Repositório Institucional da UFMG
instacron_str UFMG
institution Universidade Federal de Minas Gerais (UFMG)
instname_str Universidade Federal de Minas Gerais (UFMG)
spelling 2023-10-03T15:43:35Z2023-10-03T15:43:35Z201916114117110.4013/base.2019.161.0619848196http://hdl.handle.net/1843/59094Esta pesquisa objetiva estudar a capacidade preditiva do modelo Fleuriet sobre o lucro operacional e sobre o lucro líquido de empresas brasileiras listadas na B3, considerando o período de 2007 a 2017. O estudo se baseia em uma análise econométrica via Mínimos Quadrados Ordinários, elaborada com dados financeiros de 210 empresas, considerando o perfil e comportamento médio deste período. Os resultados apontam que o modelo Fleuriet possui dificuldade para identificação do comportamento das empresas no curto prazo. Análises com dados anuaisdemonstraram necessidade da inclusão de fatores explicativos mais relevantes que as variáveis do modelo Fleuriet para melhorar o ajuste e a robustezda análise para curto prazo. As mesmas variáveis construíram um modelo que se mostrou robusto para avaliação do comportamento de empresas considerando longos períodos de desempenho, ideal para estudar investimentos de médio prazo, quando efeitos de mercado e desempenhos atípicos são diluídos. As proporções do saldo em tesouraria (T) e do volume de capital de giro (CDG), em relação ao ativo total, mostraram-se positivamente correlacionadas com desempenho das empresas, ao tempo em que a necessidade de capital de giro (NCG) mostrou comportamento diferente de acordo com a variável utilizada para medir o desempenho financeiro.This work tests Fleuriet’s model capacity to predict the operational result and the net profit of Brazilian companies listed on the B3, considering the period between 2007 and 2017. The research is sustained by an Ordinary Least Squares econometric analysis, conducted with 210 companies, considering the profile and the mean behavior during the chosen time window. The results points out that Fleuriet’s model have difficulties to identify year-to-year companies’ result variation. Annual data studies demanded the inclusion ofnew relevant variables capable to describe better short-term movements in order to guarantee adjust and robustness. The same variables built a robust model capable to describe long run behavior, ideal to study mid-term investments, when market and abnormal effects are diluted. The ratio between cash balance (ST) and working capital (CDG), in relation to total assets, demonstrated a positive correlation with companies’ financial performance, while the working capital requirement (NCG) presented a different result according to the performance measurement variable.porUniversidade Federal de Minas GeraisUFMGBrasilFCE - DEPARTAMENTO DE CIÊNCIAS ADMINISTRATIVASBASE - Revista de Administração e Contabilidade da UnisinosFinançasAdministração de empresasModelo FleurietCapacidade preditivaDesempenho financeiroMínimos quadrados ordináriosTestando a capacidade preditiva do modelo Fleuriet: uma análise com empresas listadas na B3Testing Fleuriet’s Model predictive capacity: an analysis with B3 listed companiesinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://revistas.unisinos.br/index.php/baseFelipe Aprígio dos Santos Teixeira RibeiroMirela Castro Santos CamargosMarcos Antônio de Camargosinfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da UFMGinstname:Universidade Federal de Minas Gerais (UFMG)instacron:UFMGLICENSELicense.txtLicense.txttext/plain; charset=utf-82042https://repositorio.ufmg.br/bitstream/1843/59094/1/License.txtfa505098d172de0bc8864fc1287ffe22MD51ORIGINALTestando a Capacidade Preditiva do Modelo Fleuriet.pdfTestando a Capacidade Preditiva do Modelo Fleuriet.pdfapplication/pdf4638578https://repositorio.ufmg.br/bitstream/1843/59094/2/Testando%20a%20Capacidade%20Preditiva%20do%20Modelo%20Fleuriet.pdfec7e1a17b76668d4a504ded1b9036407MD521843/590942023-10-03 18:53:47.923oai:repositorio.ufmg.br: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Repositório InstitucionalPUBhttps://repositorio.ufmg.br/oaiopendoar:2023-10-03T21:53:47Repositório Institucional da UFMG - Universidade Federal de Minas Gerais (UFMG)false
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