Discriminant analysis as a predictive tool of financial difficulties in Brazilian companies in the share market
Autor(a) principal: | |
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Data de Publicação: | 2024 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Revista Catarinense da Ciência Contábil (Online) |
Texto Completo: | https://revista.crcsc.org.br/index.php/CRCSC/article/view/1812 |
Resumo: | The objective of this study is to verify the economic-financial situation of some companies. For that, it is required the joint analysis of their financial statements in order to predict future conditions which will generate results and honor their commitments. This paper aims at estimating discriminant functions for groups of profitable, intermediary and lossmaking companies listed on the BM&FBOVESPA within 2009 and 2011. The methodological procedures used characterize this study as descriptive, documental and quantitative. The data used were collected from the Economática® database. The companies belonging to the financial sector and services were not considered in the analysis and those which did not show the necessary data were excluded, resulting in a sample of 255 organizations. Data analysis was performed by using the SPSS®software, having as the meeting variable the three groups of companies and as explanatory variables the economic-financial indicators of liquidity, profitability and capital structure. Data analysis identified the existence of separation between groups, pointing to the Debt Breakdown as the variable that best represents this separation. Two functions were created; the first one, which segregated the profitable enterprises from the intermediary ones, showed high ability to demonstrate the differences between the two groups; the second discriminant function accounted for only the residual power for segregation between the intermediary and loss-making companies. |
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Discriminant analysis as a predictive tool of financial difficulties in Brazilian companies in the share marketAnálise Discriminante como Preditiva de Dificuldades Financeiras em Empresas Brasileiras do Mercado AcionárioIndicadores econômico-financeirosDificuldades financeirasAnálise discriminante.Economic and financial indicatorsFinancial difficultiesDiscriminant analysis.The objective of this study is to verify the economic-financial situation of some companies. For that, it is required the joint analysis of their financial statements in order to predict future conditions which will generate results and honor their commitments. This paper aims at estimating discriminant functions for groups of profitable, intermediary and lossmaking companies listed on the BM&FBOVESPA within 2009 and 2011. The methodological procedures used characterize this study as descriptive, documental and quantitative. The data used were collected from the Economática® database. The companies belonging to the financial sector and services were not considered in the analysis and those which did not show the necessary data were excluded, resulting in a sample of 255 organizations. Data analysis was performed by using the SPSS®software, having as the meeting variable the three groups of companies and as explanatory variables the economic-financial indicators of liquidity, profitability and capital structure. Data analysis identified the existence of separation between groups, pointing to the Debt Breakdown as the variable that best represents this separation. Two functions were created; the first one, which segregated the profitable enterprises from the intermediary ones, showed high ability to demonstrate the differences between the two groups; the second discriminant function accounted for only the residual power for segregation between the intermediary and loss-making companies.Verificar a situação econômico-financeira de uma empresa pressupõe a análise conjunta de suas demonstrações contábeis, no intuito de prever as condições futuras de gerar resultados e de honrar seus compromissos. O presente artigo tem como objetivo estimar funções discriminantes para os grupos de empresas lucrativas, intermediárias e deficitárias, listadas na BM&FBOVESPA, no período de 2009 a 2011. Os procedimentos metodológicos utilizados caracterizam o estudo como pesquisa descritiva, documental e quantitativa. Os dados utilizados foram coletados do banco Economática®. As empresas pertencentes ao setor financeiro e de serviços não foram consideradas na análise e aquelas que não apresentaram os dados requeridos foram excluídas, resultando em uma amostra de 255 organizações. A análise dos dados foi efetuada com o uso do software SPSS®, tendo como variável de reunião os três grupos de empresas e como variáveis explicativas os indicadores econômico-financeiros de liquidez, rentabilidade e estrutura de capital. A análise dos dados permitiu identificar a existência de separação entre os grupos, apontando a Composição do Endividamento como a variável que melhor representa essa separação. Duas funções foram criadas. A primeira delas que segrega as empresas lucrativas das intermediárias, apresentou alta capacidade para demonstrar as diferenças entre os grupos. A segunda função discriminante representou apenas o poder residual para segregação entre as empresas intermediárias e as deficitárias.Conselho Regional de Contabilidade de Santa Catarina2024-03-15info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://revista.crcsc.org.br/index.php/CRCSC/article/view/181210.16930/2237-7662/rccc.v12n36p38-52Revista Catarinense da Ciência Contábil; Vol. 12 No. 36 (2013): Agosto-Novembro; p. 38-52Revista Catarinense da Ciência Contábil; v. 12 n. 36 (2013): Agosto-Novembro; p. 38-522237-76621808-3781reponame:Revista Catarinense da Ciência Contábil (Online)instname:Conselho Regional de Contabilidade de Santa Catarina (CRCSC)instacron:CRCSCporhttps://revista.crcsc.org.br/index.php/CRCSC/article/view/1812/1683Copyright (c) 2013 Revista Catarinense da Ciência Contábilhttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessTeixeira, Silvio AparecidoMazzioni, SadyDockhorn, Marcelo da Silva MelloHein, Nelson2024-03-15T18:34:02Zoai:ojs.pkp.sfu.ca:article/1812Revistahttp://www.atena.org.br/revista/ojs-2.2.3-06/index.php/crcscPRIhttp://revista.crcsc.org.br/revista/ojs-2.2.3-06/index.php/CRCSC/oai||revista@crcsc.org.br2237-76621808-3781opendoar:2024-03-15T18:34:02Revista Catarinense da Ciência Contábil (Online) - Conselho Regional de Contabilidade de Santa Catarina (CRCSC)false |
dc.title.none.fl_str_mv |
Discriminant analysis as a predictive tool of financial difficulties in Brazilian companies in the share market Análise Discriminante como Preditiva de Dificuldades Financeiras em Empresas Brasileiras do Mercado Acionário |
title |
Discriminant analysis as a predictive tool of financial difficulties in Brazilian companies in the share market |
spellingShingle |
Discriminant analysis as a predictive tool of financial difficulties in Brazilian companies in the share market Teixeira, Silvio Aparecido Indicadores econômico-financeiros Dificuldades financeiras Análise discriminante. Economic and financial indicators Financial difficulties Discriminant analysis. |
title_short |
Discriminant analysis as a predictive tool of financial difficulties in Brazilian companies in the share market |
title_full |
Discriminant analysis as a predictive tool of financial difficulties in Brazilian companies in the share market |
title_fullStr |
Discriminant analysis as a predictive tool of financial difficulties in Brazilian companies in the share market |
title_full_unstemmed |
Discriminant analysis as a predictive tool of financial difficulties in Brazilian companies in the share market |
title_sort |
Discriminant analysis as a predictive tool of financial difficulties in Brazilian companies in the share market |
author |
Teixeira, Silvio Aparecido |
author_facet |
Teixeira, Silvio Aparecido Mazzioni, Sady Dockhorn, Marcelo da Silva Mello Hein, Nelson |
author_role |
author |
author2 |
Mazzioni, Sady Dockhorn, Marcelo da Silva Mello Hein, Nelson |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
Teixeira, Silvio Aparecido Mazzioni, Sady Dockhorn, Marcelo da Silva Mello Hein, Nelson |
dc.subject.por.fl_str_mv |
Indicadores econômico-financeiros Dificuldades financeiras Análise discriminante. Economic and financial indicators Financial difficulties Discriminant analysis. |
topic |
Indicadores econômico-financeiros Dificuldades financeiras Análise discriminante. Economic and financial indicators Financial difficulties Discriminant analysis. |
description |
The objective of this study is to verify the economic-financial situation of some companies. For that, it is required the joint analysis of their financial statements in order to predict future conditions which will generate results and honor their commitments. This paper aims at estimating discriminant functions for groups of profitable, intermediary and lossmaking companies listed on the BM&FBOVESPA within 2009 and 2011. The methodological procedures used characterize this study as descriptive, documental and quantitative. The data used were collected from the Economática® database. The companies belonging to the financial sector and services were not considered in the analysis and those which did not show the necessary data were excluded, resulting in a sample of 255 organizations. Data analysis was performed by using the SPSS®software, having as the meeting variable the three groups of companies and as explanatory variables the economic-financial indicators of liquidity, profitability and capital structure. Data analysis identified the existence of separation between groups, pointing to the Debt Breakdown as the variable that best represents this separation. Two functions were created; the first one, which segregated the profitable enterprises from the intermediary ones, showed high ability to demonstrate the differences between the two groups; the second discriminant function accounted for only the residual power for segregation between the intermediary and loss-making companies. |
publishDate |
2024 |
dc.date.none.fl_str_mv |
2024-03-15 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://revista.crcsc.org.br/index.php/CRCSC/article/view/1812 10.16930/2237-7662/rccc.v12n36p38-52 |
url |
https://revista.crcsc.org.br/index.php/CRCSC/article/view/1812 |
identifier_str_mv |
10.16930/2237-7662/rccc.v12n36p38-52 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://revista.crcsc.org.br/index.php/CRCSC/article/view/1812/1683 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2013 Revista Catarinense da Ciência Contábil https://creativecommons.org/licenses/by/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2013 Revista Catarinense da Ciência Contábil 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 |
Conselho Regional de Contabilidade de Santa Catarina |
publisher.none.fl_str_mv |
Conselho Regional de Contabilidade de Santa Catarina |
dc.source.none.fl_str_mv |
Revista Catarinense da Ciência Contábil; Vol. 12 No. 36 (2013): Agosto-Novembro; p. 38-52 Revista Catarinense da Ciência Contábil; v. 12 n. 36 (2013): Agosto-Novembro; p. 38-52 2237-7662 1808-3781 reponame:Revista Catarinense da Ciência Contábil (Online) instname:Conselho Regional de Contabilidade de Santa Catarina (CRCSC) instacron:CRCSC |
instname_str |
Conselho Regional de Contabilidade de Santa Catarina (CRCSC) |
instacron_str |
CRCSC |
institution |
CRCSC |
reponame_str |
Revista Catarinense da Ciência Contábil (Online) |
collection |
Revista Catarinense da Ciência Contábil (Online) |
repository.name.fl_str_mv |
Revista Catarinense da Ciência Contábil (Online) - Conselho Regional de Contabilidade de Santa Catarina (CRCSC) |
repository.mail.fl_str_mv |
||revista@crcsc.org.br |
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1809731681655980032 |