TESTING THE HYPOTHESIS OF MARKET EFFICIENCY THROUGH ARTIFICIAL NEURAL NETWORKS: A CASE STUDY WITH THE TEN MAJOR IBOVESPA SHARES IN THE FIRST QUARTER OF 2011
Autor(a) principal: | |
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Data de Publicação: | 2012 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng por |
Título da fonte: | Future Studies Research Journal: Trends and Strategies |
Texto Completo: | https://www.revistafuture.org/FSRJ/article/view/103 |
Resumo: | Fuel market is facing political, economic, social and environmental problems that are fuzzing the future of fossil energy sources and in face of these facts, countries are looking for hybrid and electric vehicles as part of solution in transportation sector due to the fact of electric vehicles use few or no fossil fuel. The objective in this article was to identify options until 2020 to introduce electric vehicle in the urban traffic of São Paulo city and to develop this study the method of literature review in secondary sources was used to present electric vehicle technologies and to identify parameters that were assessed through morphological analysis technique. In morphological analysis, sets of values were defined by the author for these parameters, possible combinations were structured, clearly impractical deployment options before 2020 were discarded and some viable solutions were analyzed in details. These analyses concluded that there are viable options for actual days in São Paulo city, but important requirements regarding technology, politic, market, infrastructure and innovation in products and services still need to be addressed and it is the main reason of electric vehicle remain unnoticed by consumers as an viable option. The challenges are great and the actors who are willing to solve them will find a promising market to explore. |
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TESTING THE HYPOTHESIS OF MARKET EFFICIENCY THROUGH ARTIFICIAL NEURAL NETWORKS: A CASE STUDY WITH THE TEN MAJOR IBOVESPA SHARES IN THE FIRST QUARTER OF 2011TESTANDO A HIPÓTESE DE EFICIÊNCIA DE MERCADO POR MEIO DE REDES NEURAIS ARTIFICIAIS: UM ESTUDO DE CASO COM AS DEZ PRINCIPAIS AÇÕES DO IBOVESPA DO PRIMEIRO QUADRIMESTRE DE 2011Fuel market is facing political, economic, social and environmental problems that are fuzzing the future of fossil energy sources and in face of these facts, countries are looking for hybrid and electric vehicles as part of solution in transportation sector due to the fact of electric vehicles use few or no fossil fuel. The objective in this article was to identify options until 2020 to introduce electric vehicle in the urban traffic of São Paulo city and to develop this study the method of literature review in secondary sources was used to present electric vehicle technologies and to identify parameters that were assessed through morphological analysis technique. In morphological analysis, sets of values were defined by the author for these parameters, possible combinations were structured, clearly impractical deployment options before 2020 were discarded and some viable solutions were analyzed in details. These analyses concluded that there are viable options for actual days in São Paulo city, but important requirements regarding technology, politic, market, infrastructure and innovation in products and services still need to be addressed and it is the main reason of electric vehicle remain unnoticed by consumers as an viable option. The challenges are great and the actors who are willing to solve them will find a promising market to explore.Este artigo tem como objetivo analisar se a ferramenta de Marangoni (2010) a partir de uma rede neural artificial (RNA) tem relação com a hipótese de eficiência de mercado para a tomada de decisão de investimentos no mercado de ações. O presente estudo utilizou as dez ações mais importantes que faziam parte do Ibovespa no primeiro quadrimestre do ano de 2011. O estudo será dividido em três etapas. A primeira consiste em revisar a literatura específica que aborda as questões do ambiente da gestão financeira no que tange aos investimentos em bolsa de valores e seus instrumentos de avaliação. A segunda etapa consiste na aplicação do modelo nos papéis selecionados para finalmente se realizarem as análises e devidas considerações. Conclui-se que a ferramenta de redes neurais artificiais convergiu, em 50% dos papéis em termos de previsão, para a hipótese de eficiência de mercado. O papel sugerido como opção de compra, que maximiza a rentabilidade por parte do investidor pela RNA, foi igual ao papel indicado com base na hipótese de mercado eficiente. O mesmo ocorre com o papel menos rentável. Ao comparar com o que aconteceu, nota-se que a primeira decisão seria acertada e a última é pouco distorcida em relação ao que ocorreu. A pesquisa é predominantemente quantitativa. O estudo se faz importante uma vez que atualmente existem poucos estudos que comprovam o funcionamento das RNAs para previsão de série temporal no mercado acionário.Future Studies Research Journal: Trends and Strategies2012-12-11info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionPeer-reviewed Articleapplication/pdfapplication/pdfhttps://www.revistafuture.org/FSRJ/article/view/10310.24023/FutureJournal/2175-5825/2012.v4i2.103Future Studies Research Journal: Trends and Strategies; Vol. 4 No. 2 (2012): Future Studies Research Journal; 164-186Future Studies Research Journal: Trends and Strategies [FSRJ]; v. 4 n. 2 (2012): Future Studies Research Journal; 164-1862175-5825reponame:Future Studies Research Journal: Trends and Strategiesinstname:Fundação Instituto de Administração (FIA)instacron:FIAengporhttps://www.revistafuture.org/FSRJ/article/view/103/198https://www.revistafuture.org/FSRJ/article/view/103/182Copyright (c) 2013 Future Studies Research Journal: Trends and Strategiesinfo:eu-repo/semantics/openAccessHerling, Luiz HenriqueAndrade de Lima, Marcus ViniciusMoritz, Gilberto de OliveiraMarangoni, Pedro Henrique2018-07-19T15:43:25Zoai:ojs.future.emnuvens.com.br:article/103Revistahttps://www.revistafuture.org/FSRJ/oai2175-58252175-5825opendoar:2018-07-19T15:43:25Future Studies Research Journal: Trends and Strategies - Fundação Instituto de Administração (FIA)false |
dc.title.none.fl_str_mv |
TESTING THE HYPOTHESIS OF MARKET EFFICIENCY THROUGH ARTIFICIAL NEURAL NETWORKS: A CASE STUDY WITH THE TEN MAJOR IBOVESPA SHARES IN THE FIRST QUARTER OF 2011 TESTANDO A HIPÓTESE DE EFICIÊNCIA DE MERCADO POR MEIO DE REDES NEURAIS ARTIFICIAIS: UM ESTUDO DE CASO COM AS DEZ PRINCIPAIS AÇÕES DO IBOVESPA DO PRIMEIRO QUADRIMESTRE DE 2011 |
title |
TESTING THE HYPOTHESIS OF MARKET EFFICIENCY THROUGH ARTIFICIAL NEURAL NETWORKS: A CASE STUDY WITH THE TEN MAJOR IBOVESPA SHARES IN THE FIRST QUARTER OF 2011 |
spellingShingle |
TESTING THE HYPOTHESIS OF MARKET EFFICIENCY THROUGH ARTIFICIAL NEURAL NETWORKS: A CASE STUDY WITH THE TEN MAJOR IBOVESPA SHARES IN THE FIRST QUARTER OF 2011 Herling, Luiz Henrique |
title_short |
TESTING THE HYPOTHESIS OF MARKET EFFICIENCY THROUGH ARTIFICIAL NEURAL NETWORKS: A CASE STUDY WITH THE TEN MAJOR IBOVESPA SHARES IN THE FIRST QUARTER OF 2011 |
title_full |
TESTING THE HYPOTHESIS OF MARKET EFFICIENCY THROUGH ARTIFICIAL NEURAL NETWORKS: A CASE STUDY WITH THE TEN MAJOR IBOVESPA SHARES IN THE FIRST QUARTER OF 2011 |
title_fullStr |
TESTING THE HYPOTHESIS OF MARKET EFFICIENCY THROUGH ARTIFICIAL NEURAL NETWORKS: A CASE STUDY WITH THE TEN MAJOR IBOVESPA SHARES IN THE FIRST QUARTER OF 2011 |
title_full_unstemmed |
TESTING THE HYPOTHESIS OF MARKET EFFICIENCY THROUGH ARTIFICIAL NEURAL NETWORKS: A CASE STUDY WITH THE TEN MAJOR IBOVESPA SHARES IN THE FIRST QUARTER OF 2011 |
title_sort |
TESTING THE HYPOTHESIS OF MARKET EFFICIENCY THROUGH ARTIFICIAL NEURAL NETWORKS: A CASE STUDY WITH THE TEN MAJOR IBOVESPA SHARES IN THE FIRST QUARTER OF 2011 |
author |
Herling, Luiz Henrique |
author_facet |
Herling, Luiz Henrique Andrade de Lima, Marcus Vinicius Moritz, Gilberto de Oliveira Marangoni, Pedro Henrique |
author_role |
author |
author2 |
Andrade de Lima, Marcus Vinicius Moritz, Gilberto de Oliveira Marangoni, Pedro Henrique |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
Herling, Luiz Henrique Andrade de Lima, Marcus Vinicius Moritz, Gilberto de Oliveira Marangoni, Pedro Henrique |
description |
Fuel market is facing political, economic, social and environmental problems that are fuzzing the future of fossil energy sources and in face of these facts, countries are looking for hybrid and electric vehicles as part of solution in transportation sector due to the fact of electric vehicles use few or no fossil fuel. The objective in this article was to identify options until 2020 to introduce electric vehicle in the urban traffic of São Paulo city and to develop this study the method of literature review in secondary sources was used to present electric vehicle technologies and to identify parameters that were assessed through morphological analysis technique. In morphological analysis, sets of values were defined by the author for these parameters, possible combinations were structured, clearly impractical deployment options before 2020 were discarded and some viable solutions were analyzed in details. These analyses concluded that there are viable options for actual days in São Paulo city, but important requirements regarding technology, politic, market, infrastructure and innovation in products and services still need to be addressed and it is the main reason of electric vehicle remain unnoticed by consumers as an viable option. The challenges are great and the actors who are willing to solve them will find a promising market to explore. |
publishDate |
2012 |
dc.date.none.fl_str_mv |
2012-12-11 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://www.revistafuture.org/FSRJ/article/view/103 10.24023/FutureJournal/2175-5825/2012.v4i2.103 |
url |
https://www.revistafuture.org/FSRJ/article/view/103 |
identifier_str_mv |
10.24023/FutureJournal/2175-5825/2012.v4i2.103 |
dc.language.iso.fl_str_mv |
eng por |
language |
eng por |
dc.relation.none.fl_str_mv |
https://www.revistafuture.org/FSRJ/article/view/103/198 https://www.revistafuture.org/FSRJ/article/view/103/182 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2013 Future Studies Research Journal: Trends and Strategies info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2013 Future Studies Research Journal: Trends and Strategies |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf application/pdf |
dc.publisher.none.fl_str_mv |
Future Studies Research Journal: Trends and Strategies |
publisher.none.fl_str_mv |
Future Studies Research Journal: Trends and Strategies |
dc.source.none.fl_str_mv |
Future Studies Research Journal: Trends and Strategies; Vol. 4 No. 2 (2012): Future Studies Research Journal; 164-186 Future Studies Research Journal: Trends and Strategies [FSRJ]; v. 4 n. 2 (2012): Future Studies Research Journal; 164-186 2175-5825 reponame:Future Studies Research Journal: Trends and Strategies instname:Fundação Instituto de Administração (FIA) instacron:FIA |
instname_str |
Fundação Instituto de Administração (FIA) |
instacron_str |
FIA |
institution |
FIA |
reponame_str |
Future Studies Research Journal: Trends and Strategies |
collection |
Future Studies Research Journal: Trends and Strategies |
repository.name.fl_str_mv |
Future Studies Research Journal: Trends and Strategies - Fundação Instituto de Administração (FIA) |
repository.mail.fl_str_mv |
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