Modelagem multiatributos aplicada à avaliação do desempenho econômico-financeiro de empresas

Detalhes bibliográficos
Autor(a) principal: Gartner,Ivan Ricardo
Data de Publicação: 2010
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Pesquisa operacional (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0101-74382010000300007
Resumo: This paper aims to present a methodology for modeling the corporate economic and financial performance. The methodology is based on multi-attribute methods that are applied in the aggregation of economic and financial indicators. The weights of these indicators are obtained by the principle of maximum entropy, with the intention of making an objective and non-biased analysis. The methodology is applied to a sample of Brazilian companies of electric power in the period from 2003 to 2007 and the results are analyzed using a scale of ten categories of risk. The results show that, in the last two years, more than 85% of the sample firms are in a range of low-risk in that industry. The methodology proves to be valid as an alternative to correlation studies and to support the formulation of industry performance restrictions for problems of portfolio optimization, resource allocation and credit analysis.
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spelling Modelagem multiatributos aplicada à avaliação do desempenho econômico-financeiro de empresasperformance and corporate riskmulti-attribute methodsmaximum entropy principleThis paper aims to present a methodology for modeling the corporate economic and financial performance. The methodology is based on multi-attribute methods that are applied in the aggregation of economic and financial indicators. The weights of these indicators are obtained by the principle of maximum entropy, with the intention of making an objective and non-biased analysis. The methodology is applied to a sample of Brazilian companies of electric power in the period from 2003 to 2007 and the results are analyzed using a scale of ten categories of risk. The results show that, in the last two years, more than 85% of the sample firms are in a range of low-risk in that industry. The methodology proves to be valid as an alternative to correlation studies and to support the formulation of industry performance restrictions for problems of portfolio optimization, resource allocation and credit analysis.Sociedade Brasileira de Pesquisa Operacional2010-12-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0101-74382010000300007Pesquisa Operacional v.30 n.3 2010reponame:Pesquisa operacional (Online)instname:Sociedade Brasileira de Pesquisa Operacional (SOBRAPO)instacron:SOBRAPO10.1590/S0101-74382010000300007info:eu-repo/semantics/openAccessGartner,Ivan Ricardoeng2011-03-04T00:00:00Zoai:scielo:S0101-74382010000300007Revistahttp://www.scielo.br/popehttps://old.scielo.br/oai/scielo-oai.php||sobrapo@sobrapo.org.br1678-51420101-7438opendoar:2011-03-04T00:00Pesquisa operacional (Online) - Sociedade Brasileira de Pesquisa Operacional (SOBRAPO)false
dc.title.none.fl_str_mv Modelagem multiatributos aplicada à avaliação do desempenho econômico-financeiro de empresas
title Modelagem multiatributos aplicada à avaliação do desempenho econômico-financeiro de empresas
spellingShingle Modelagem multiatributos aplicada à avaliação do desempenho econômico-financeiro de empresas
Gartner,Ivan Ricardo
performance and corporate risk
multi-attribute methods
maximum entropy principle
title_short Modelagem multiatributos aplicada à avaliação do desempenho econômico-financeiro de empresas
title_full Modelagem multiatributos aplicada à avaliação do desempenho econômico-financeiro de empresas
title_fullStr Modelagem multiatributos aplicada à avaliação do desempenho econômico-financeiro de empresas
title_full_unstemmed Modelagem multiatributos aplicada à avaliação do desempenho econômico-financeiro de empresas
title_sort Modelagem multiatributos aplicada à avaliação do desempenho econômico-financeiro de empresas
author Gartner,Ivan Ricardo
author_facet Gartner,Ivan Ricardo
author_role author
dc.contributor.author.fl_str_mv Gartner,Ivan Ricardo
dc.subject.por.fl_str_mv performance and corporate risk
multi-attribute methods
maximum entropy principle
topic performance and corporate risk
multi-attribute methods
maximum entropy principle
description This paper aims to present a methodology for modeling the corporate economic and financial performance. The methodology is based on multi-attribute methods that are applied in the aggregation of economic and financial indicators. The weights of these indicators are obtained by the principle of maximum entropy, with the intention of making an objective and non-biased analysis. The methodology is applied to a sample of Brazilian companies of electric power in the period from 2003 to 2007 and the results are analyzed using a scale of ten categories of risk. The results show that, in the last two years, more than 85% of the sample firms are in a range of low-risk in that industry. The methodology proves to be valid as an alternative to correlation studies and to support the formulation of industry performance restrictions for problems of portfolio optimization, resource allocation and credit analysis.
publishDate 2010
dc.date.none.fl_str_mv 2010-12-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0101-74382010000300007
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0101-74382010000300007
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/S0101-74382010000300007
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Sociedade Brasileira de Pesquisa Operacional
publisher.none.fl_str_mv Sociedade Brasileira de Pesquisa Operacional
dc.source.none.fl_str_mv Pesquisa Operacional v.30 n.3 2010
reponame:Pesquisa operacional (Online)
instname:Sociedade Brasileira de Pesquisa Operacional (SOBRAPO)
instacron:SOBRAPO
instname_str Sociedade Brasileira de Pesquisa Operacional (SOBRAPO)
instacron_str SOBRAPO
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reponame_str Pesquisa operacional (Online)
collection Pesquisa operacional (Online)
repository.name.fl_str_mv Pesquisa operacional (Online) - Sociedade Brasileira de Pesquisa Operacional (SOBRAPO)
repository.mail.fl_str_mv ||sobrapo@sobrapo.org.br
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