Portfolio theory in the selection of oil investment projects
Autor(a) principal: | |
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Data de Publicação: | 2012 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Gestão & Produção |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0104-530X2012000200003 |
Resumo: | The objective of this article is to compare investment project selection using the efficient frontier in the mean-variance space based on optimization models introduced by Markowitz (1952) with the project ranking method according to the profitability index (PI). The selection of real assets by companies did not incorporate the mean-variance optimization procedure in the same way the selection of financial assets in investment portfolios did. The process of selection and formation of portfolios of investment projects for the oil area of a company in the energy industry was analyzed. Project portfolios formed according to the usual company practice of ranking by their PI were compared with those that result from applying mean-variance optimization through Monte Carlo simulation, which allows the computation of mean returns, variances, and covariances for the set of projects considered. The inefficiency of project portfolios obtained by ranking according to the PI compared to those obtained by the method of Markowitz suggests that there are opportunities to improve the process of selecting the set of projects to be implemented by companies. |
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Portfolio theory in the selection of oil investment projectsreal assetsportfolio of projects.corporate financeproject economic evaluationThe objective of this article is to compare investment project selection using the efficient frontier in the mean-variance space based on optimization models introduced by Markowitz (1952) with the project ranking method according to the profitability index (PI). The selection of real assets by companies did not incorporate the mean-variance optimization procedure in the same way the selection of financial assets in investment portfolios did. The process of selection and formation of portfolios of investment projects for the oil area of a company in the energy industry was analyzed. Project portfolios formed according to the usual company practice of ranking by their PI were compared with those that result from applying mean-variance optimization through Monte Carlo simulation, which allows the computation of mean returns, variances, and covariances for the set of projects considered. The inefficiency of project portfolios obtained by ranking according to the PI compared to those obtained by the method of Markowitz suggests that there are opportunities to improve the process of selecting the set of projects to be implemented by companies.Universidade Federal de São Carlos2012-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0104-530X2012000200003Gestão & Produção v.19 n.2 2012reponame:Gestão & Produçãoinstname:Universidade Federal de São Carlos (UFSCAR)instacron:UFSCAR10.1590/S0104-530X2012000200003info:eu-repo/semantics/openAccessSimplício,Jalimar GuimarãesLemme,Celso FunciaLeal,Ricardo Pereira Câmaraeng2012-06-25T00:00:00Zoai:scielo:S0104-530X2012000200003Revistahttps://www.gestaoeproducao.com/PUBhttps://old.scielo.br/oai/scielo-oai.phpgp@dep.ufscar.br||revistagestaoemanalise@unichristus.edu.br1806-96490104-530Xopendoar:2012-06-25T00:00Gestão & Produção - Universidade Federal de São Carlos (UFSCAR)false |
dc.title.none.fl_str_mv |
Portfolio theory in the selection of oil investment projects |
title |
Portfolio theory in the selection of oil investment projects |
spellingShingle |
Portfolio theory in the selection of oil investment projects Simplício,Jalimar Guimarães real assets portfolio of projects.corporate finance project economic evaluation |
title_short |
Portfolio theory in the selection of oil investment projects |
title_full |
Portfolio theory in the selection of oil investment projects |
title_fullStr |
Portfolio theory in the selection of oil investment projects |
title_full_unstemmed |
Portfolio theory in the selection of oil investment projects |
title_sort |
Portfolio theory in the selection of oil investment projects |
author |
Simplício,Jalimar Guimarães |
author_facet |
Simplício,Jalimar Guimarães Lemme,Celso Funcia Leal,Ricardo Pereira Câmara |
author_role |
author |
author2 |
Lemme,Celso Funcia Leal,Ricardo Pereira Câmara |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Simplício,Jalimar Guimarães Lemme,Celso Funcia Leal,Ricardo Pereira Câmara |
dc.subject.por.fl_str_mv |
real assets portfolio of projects.corporate finance project economic evaluation |
topic |
real assets portfolio of projects.corporate finance project economic evaluation |
description |
The objective of this article is to compare investment project selection using the efficient frontier in the mean-variance space based on optimization models introduced by Markowitz (1952) with the project ranking method according to the profitability index (PI). The selection of real assets by companies did not incorporate the mean-variance optimization procedure in the same way the selection of financial assets in investment portfolios did. The process of selection and formation of portfolios of investment projects for the oil area of a company in the energy industry was analyzed. Project portfolios formed according to the usual company practice of ranking by their PI were compared with those that result from applying mean-variance optimization through Monte Carlo simulation, which allows the computation of mean returns, variances, and covariances for the set of projects considered. The inefficiency of project portfolios obtained by ranking according to the PI compared to those obtained by the method of Markowitz suggests that there are opportunities to improve the process of selecting the set of projects to be implemented by companies. |
publishDate |
2012 |
dc.date.none.fl_str_mv |
2012-01-01 |
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=S0104-530X2012000200003 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0104-530X2012000200003 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/S0104-530X2012000200003 |
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 |
Universidade Federal de São Carlos |
publisher.none.fl_str_mv |
Universidade Federal de São Carlos |
dc.source.none.fl_str_mv |
Gestão & Produção v.19 n.2 2012 reponame:Gestão & Produção instname:Universidade Federal de São Carlos (UFSCAR) instacron:UFSCAR |
instname_str |
Universidade Federal de São Carlos (UFSCAR) |
instacron_str |
UFSCAR |
institution |
UFSCAR |
reponame_str |
Gestão & Produção |
collection |
Gestão & Produção |
repository.name.fl_str_mv |
Gestão & Produção - Universidade Federal de São Carlos (UFSCAR) |
repository.mail.fl_str_mv |
gp@dep.ufscar.br||revistagestaoemanalise@unichristus.edu.br |
_version_ |
1750118203986542592 |