Markov chain portfolio liquidity optimization model
Autor(a) principal: | |
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Data de Publicação: | 2014 |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Independent Journal of Management & Production |
Texto Completo: | http://www.ijmp.jor.br/index.php/ijmp/article/view/156 |
Resumo: | The international financial crisis of September 2008 and May 2010 showed the importance of liquidity as an attribute to be considered in portfolio decisions. This study proposes an optimization model based on available public data, using Markov chain and Genetic Algorithms concepts as it considers the classic duality of risk versus return and incorporating liquidity costs. The work intends to propose a multi-criterion non-linear optimization model using liquidity based on a Markov chain. The non-linear model was tested using Genetic Algorithms with twenty five Brazilian stocks from 2007 to 2009. The results suggest that this is an innovative development methodology and useful for developing an efficient and realistic financial portfolio, as it considers many attributes such as risk, return and liquidity. |
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Independent Journal of Management & Production |
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Markov chain portfolio liquidity optimization modelPortfolio OptimizationMarkov chainGenetic AlgorithmsThe international financial crisis of September 2008 and May 2010 showed the importance of liquidity as an attribute to be considered in portfolio decisions. This study proposes an optimization model based on available public data, using Markov chain and Genetic Algorithms concepts as it considers the classic duality of risk versus return and incorporating liquidity costs. The work intends to propose a multi-criterion non-linear optimization model using liquidity based on a Markov chain. The non-linear model was tested using Genetic Algorithms with twenty five Brazilian stocks from 2007 to 2009. The results suggest that this is an innovative development methodology and useful for developing an efficient and realistic financial portfolio, as it considers many attributes such as risk, return and liquidity.Independent2014-05-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdftext/htmlhttp://www.ijmp.jor.br/index.php/ijmp/article/view/15610.14807/ijmp.v5i2.156Independent Journal of Management & Production; Vol. 5 No. 2 (2014): Independent Journal of Management & Production; 360-3802236-269X2236-269Xreponame:Independent Journal of Management & Productioninstname:Instituto Federal de Educação, Ciência e Tecnologia de São Paulo (IFSP)instacron:IJM&Penghttp://www.ijmp.jor.br/index.php/ijmp/article/view/156/106http://www.ijmp.jor.br/index.php/ijmp/article/view/156/387Abensur, Eder Oliveirainfo:eu-repo/semantics/openAccess2024-04-24T12:36:28Zoai:www.ijmp.jor.br:article/156Revistahttp://www.ijmp.jor.br/PUBhttp://www.ijmp.jor.br/index.php/ijmp/oaiijmp@ijmp.jor.br||paulo@paulorodrigues.pro.br||2236-269X2236-269Xopendoar:2024-04-24T12:36:28Independent Journal of Management & Production - Instituto Federal de Educação, Ciência e Tecnologia de São Paulo (IFSP)false |
dc.title.none.fl_str_mv |
Markov chain portfolio liquidity optimization model |
title |
Markov chain portfolio liquidity optimization model |
spellingShingle |
Markov chain portfolio liquidity optimization model Abensur, Eder Oliveira Portfolio Optimization Markov chain Genetic Algorithms |
title_short |
Markov chain portfolio liquidity optimization model |
title_full |
Markov chain portfolio liquidity optimization model |
title_fullStr |
Markov chain portfolio liquidity optimization model |
title_full_unstemmed |
Markov chain portfolio liquidity optimization model |
title_sort |
Markov chain portfolio liquidity optimization model |
author |
Abensur, Eder Oliveira |
author_facet |
Abensur, Eder Oliveira |
author_role |
author |
dc.contributor.author.fl_str_mv |
Abensur, Eder Oliveira |
dc.subject.por.fl_str_mv |
Portfolio Optimization Markov chain Genetic Algorithms |
topic |
Portfolio Optimization Markov chain Genetic Algorithms |
description |
The international financial crisis of September 2008 and May 2010 showed the importance of liquidity as an attribute to be considered in portfolio decisions. This study proposes an optimization model based on available public data, using Markov chain and Genetic Algorithms concepts as it considers the classic duality of risk versus return and incorporating liquidity costs. The work intends to propose a multi-criterion non-linear optimization model using liquidity based on a Markov chain. The non-linear model was tested using Genetic Algorithms with twenty five Brazilian stocks from 2007 to 2009. The results suggest that this is an innovative development methodology and useful for developing an efficient and realistic financial portfolio, as it considers many attributes such as risk, return and liquidity. |
publishDate |
2014 |
dc.date.none.fl_str_mv |
2014-05-01 |
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 |
http://www.ijmp.jor.br/index.php/ijmp/article/view/156 10.14807/ijmp.v5i2.156 |
url |
http://www.ijmp.jor.br/index.php/ijmp/article/view/156 |
identifier_str_mv |
10.14807/ijmp.v5i2.156 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
http://www.ijmp.jor.br/index.php/ijmp/article/view/156/106 http://www.ijmp.jor.br/index.php/ijmp/article/view/156/387 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf text/html |
dc.publisher.none.fl_str_mv |
Independent |
publisher.none.fl_str_mv |
Independent |
dc.source.none.fl_str_mv |
Independent Journal of Management & Production; Vol. 5 No. 2 (2014): Independent Journal of Management & Production; 360-380 2236-269X 2236-269X reponame:Independent Journal of Management & Production instname:Instituto Federal de Educação, Ciência e Tecnologia de São Paulo (IFSP) instacron:IJM&P |
instname_str |
Instituto Federal de Educação, Ciência e Tecnologia de São Paulo (IFSP) |
instacron_str |
IJM&P |
institution |
IJM&P |
reponame_str |
Independent Journal of Management & Production |
collection |
Independent Journal of Management & Production |
repository.name.fl_str_mv |
Independent Journal of Management & Production - Instituto Federal de Educação, Ciência e Tecnologia de São Paulo (IFSP) |
repository.mail.fl_str_mv |
ijmp@ijmp.jor.br||paulo@paulorodrigues.pro.br|| |
_version_ |
1797220490067050496 |