Prediction of the daily share price fluctuations of SURAMINV. A neural netword model
As opposed to the weak form of efficient-market hypothesis, the current study shows that it is possible to do good predictions about the daily share price fluctuations of Suraminv, using artificial neural network models. Furthermore, the forecasts obtained are used to analyze the possibility of gain...
- Autores:
-
Jaime Enrique Arrieta Bechara
Juan Camilo Torres Cruz
Hermilson Velásquez Ceballos
- Tipo de recurso:
- Fecha de publicación:
- 2019
- Institución:
- Universidad EAFIT
- Repositorio:
- Repositorio EAFIT
- Idioma:
- spa
- OAI Identifier:
- oai:repository.eafit.edu.co:10784/14016
- Acceso en línea:
- http://hdl.handle.net/10784/14016
- Palabra clave:
- Artificial Neural Netword (ANN)
prediction
Suraminv
negotiation systems.
Red neuronal artificial (RNA)
predicción
Suraminv
sistemas de negociación.
- Rights
- License
- Acceso abierto
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Medellín de: Lat: 06 15 00 N degrees minutes Lat: 6.2500 decimal degrees Long: 075 36 00 W degrees minutes Long: -75.6000 decimal degrees13/12/20092019-10-04T14:30:45Z13/12/20092019-10-04T14:30:45Z2256-43221692-0279http://hdl.handle.net/10784/14016As opposed to the weak form of efficient-market hypothesis, the current study shows that it is possible to do good predictions about the daily share price fluctuations of Suraminv, using artificial neural network models. Furthermore, the forecasts obtained are used to analyze the possibility of gaining extraordinary returns with regard to the Buy & Hold strategy, through negotiation systems with basic rules.La investigación muestra que es posible realizar, por medio de modelos de redes neuronales artificiales, buenas predicciones sobre el comportamiento diario de la acción de SURAMINV. Tales resultados contrarían la hipótesis de la teoría de eficiencia débil de mercado. A partir de dichas predicciones y con el uso de sistemas de negociación, se evalúa la posibilidad de obtener rendimientos extraordinarios sobre la estrategia Buy & Hold teniendo en cuenta costos de transacción y oportunidad.text/htmlspaUniversidad EAFIThttp://publicaciones.eafit.edu.co/index.php/administer/article/view/202http://publicaciones.eafit.edu.co/index.php/administer/article/view/202Copyright © 2009 Jaime Enrique Arrieta Bechara, Juan Camilo Torres Cruz, Hermilson Velásquez CeballosAcceso abiertohttp://purl.org/coar/access_right/c_abf2instname:Universidad EAFITreponame:Repositorio Institucional Universidad EAFITAD-minister: No 15 (2009)Prediction of the daily share price fluctuations of SURAMINV. A neural netword modelPredicción del comportamiento diario de la acción de SURAMINV. Un modelo de redes neuronalesarticleinfo:eu-repo/semantics/articlepublishedVersioninfo:eu-repo/semantics/publishedVersionArtículohttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1Artificial Neural Netword (ANN)predictionSuraminvnegotiation systems.Red neuronal artificial (RNA)predicciónSuraminvsistemas de negociación.Jaime Enrique Arrieta BecharaJuan Camilo Torres CruzHermilson Velásquez CeballosUniversidad EAFITAD-minister153246THUMBNAILminiatura-administer.jpgminiatura-administer.jpgimage/jpeg8755https://repository.eafit.edu.co/bitstreams/f938d3e3-a777-4370-8d00-8f866924665d/download87c28d32b620f3408b1c70a3c505fbd8MD51ORIGINALPrediction of the daily share price fluctuations of SURAMINV. A neural netword model.pdfPrediction of the daily share price fluctuations of SURAMINV. A neural netword model.pdfTexto completo PDFapplication/pdf353294https://repository.eafit.edu.co/bitstreams/ab7efaa4-a41c-4107-8e82-126df17ab61b/downloada1312c8c56c899bb3d48c35e2c0edcb4MD52articulo.htmlarticulo.htmlTexto completo HTMLtext/html373https://repository.eafit.edu.co/bitstreams/0fcd8dad-22b4-4a73-80c3-bad3e75190b5/downloadb6d445097639167f697d95ba2d8a471fMD5310784/14016oai:repository.eafit.edu.co:10784/140162019-11-30 09:26:21.064open.accesshttps://repository.eafit.edu.coRepositorio Institucional Universidad EAFITrepositorio@eafit.edu.co |
dc.title.eng.fl_str_mv |
Prediction of the daily share price fluctuations of SURAMINV. A neural netword model |
dc.title.spa.fl_str_mv |
Predicción del comportamiento diario de la acción de SURAMINV. Un modelo de redes neuronales |
title |
Prediction of the daily share price fluctuations of SURAMINV. A neural netword model |
spellingShingle |
Prediction of the daily share price fluctuations of SURAMINV. A neural netword model Artificial Neural Netword (ANN) prediction Suraminv negotiation systems. Red neuronal artificial (RNA) predicción Suraminv sistemas de negociación. |
title_short |
Prediction of the daily share price fluctuations of SURAMINV. A neural netword model |
title_full |
Prediction of the daily share price fluctuations of SURAMINV. A neural netword model |
title_fullStr |
Prediction of the daily share price fluctuations of SURAMINV. A neural netword model |
title_full_unstemmed |
Prediction of the daily share price fluctuations of SURAMINV. A neural netword model |
title_sort |
Prediction of the daily share price fluctuations of SURAMINV. A neural netword model |
dc.creator.fl_str_mv |
Jaime Enrique Arrieta Bechara Juan Camilo Torres Cruz Hermilson Velásquez Ceballos |
dc.contributor.author.spa.fl_str_mv |
Jaime Enrique Arrieta Bechara Juan Camilo Torres Cruz Hermilson Velásquez Ceballos |
dc.contributor.affiliation.spa.fl_str_mv |
Universidad EAFIT |
dc.subject.keyword.eng.fl_str_mv |
Artificial Neural Netword (ANN) prediction Suraminv negotiation systems. |
topic |
Artificial Neural Netword (ANN) prediction Suraminv negotiation systems. Red neuronal artificial (RNA) predicción Suraminv sistemas de negociación. |
dc.subject.keyword.spa.fl_str_mv |
Red neuronal artificial (RNA) predicción Suraminv sistemas de negociación. |
description |
As opposed to the weak form of efficient-market hypothesis, the current study shows that it is possible to do good predictions about the daily share price fluctuations of Suraminv, using artificial neural network models. Furthermore, the forecasts obtained are used to analyze the possibility of gaining extraordinary returns with regard to the Buy & Hold strategy, through negotiation systems with basic rules. |
publishDate |
2019 |
dc.date.issued.none.fl_str_mv |
13/12/2009 |
dc.date.available.none.fl_str_mv |
2019-10-04T14:30:45Z |
dc.date.accessioned.none.fl_str_mv |
2019-10-04T14:30:45Z |
dc.date.none.fl_str_mv |
13/12/2009 |
dc.type.eng.fl_str_mv |
article info:eu-repo/semantics/article publishedVersion info:eu-repo/semantics/publishedVersion |
dc.type.coarversion.fl_str_mv |
http://purl.org/coar/version/c_970fb48d4fbd8a85 |
dc.type.coar.fl_str_mv |
http://purl.org/coar/resource_type/c_6501 http://purl.org/coar/resource_type/c_2df8fbb1 |
dc.type.local.spa.fl_str_mv |
Artículo |
status_str |
publishedVersion |
dc.identifier.issn.none.fl_str_mv |
2256-4322 1692-0279 |
dc.identifier.uri.none.fl_str_mv |
http://hdl.handle.net/10784/14016 |
identifier_str_mv |
2256-4322 1692-0279 |
url |
http://hdl.handle.net/10784/14016 |
dc.language.iso.spa.fl_str_mv |
spa |
language |
spa |
dc.relation.isversionof.none.fl_str_mv |
http://publicaciones.eafit.edu.co/index.php/administer/article/view/202 |
dc.relation.uri.none.fl_str_mv |
http://publicaciones.eafit.edu.co/index.php/administer/article/view/202 |
dc.rights.coar.fl_str_mv |
http://purl.org/coar/access_right/c_abf2 |
dc.rights.local.spa.fl_str_mv |
Acceso abierto |
rights_invalid_str_mv |
Acceso abierto http://purl.org/coar/access_right/c_abf2 |
dc.format.none.fl_str_mv |
text/html |
dc.coverage.spatial.eng.fl_str_mv |
Medellín de: Lat: 06 15 00 N degrees minutes Lat: 6.2500 decimal degrees Long: 075 36 00 W degrees minutes Long: -75.6000 decimal degrees |
dc.publisher.spa.fl_str_mv |
Universidad EAFIT |
dc.source.none.fl_str_mv |
instname:Universidad EAFIT reponame:Repositorio Institucional Universidad EAFIT |
dc.source.spa.fl_str_mv |
AD-minister: No 15 (2009) |
instname_str |
Universidad EAFIT |
institution |
Universidad EAFIT |
reponame_str |
Repositorio Institucional Universidad EAFIT |
collection |
Repositorio Institucional Universidad EAFIT |
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