Modelagem multiatributos aplicada à avaliação do desempenho econômico-financeiro de empresas
Autor(a) principal: | |
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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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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 |
institution |
SOBRAPO |
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 |
_version_ |
1750318017051361280 |