Data mining and neural networks to determine the financial market prediction
Predicting stock market movements has been a complex task for years by gaining the increasing interest of researchers and investors present all around the world. These have tried to get ahead of the way in order to know the levels of return and thus reduce the risk they face in investments [1]. Capi...
- Autores:
-
Silva, Jesus
García Guliany, Jesús
Hernandez, Lissette
Portillo, Rafael
Varela, Noel
Hernandez Palma, Hugo Gaspar
Redondo Bilbao, Osman
Valero, Lesbia
- Tipo de recurso:
- http://purl.org/coar/resource_type/c_816b
- Fecha de publicación:
- 2020
- Institución:
- Corporación Universidad de la Costa
- Repositorio:
- REDICUC - Repositorio CUC
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.cuc.edu.co:11323/6193
- Acceso en línea:
- https://hdl.handle.net/11323/6193
https://repositorio.cuc.edu.co/
- Palabra clave:
- ACP
Market prediction
Mexican stock exchange
- Rights
- openAccess
- License
- CC0 1.0 Universal
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| dc.title.spa.fl_str_mv |
Data mining and neural networks to determine the financial market prediction |
| title |
Data mining and neural networks to determine the financial market prediction |
| spellingShingle |
Data mining and neural networks to determine the financial market prediction ACP Market prediction Mexican stock exchange |
| title_short |
Data mining and neural networks to determine the financial market prediction |
| title_full |
Data mining and neural networks to determine the financial market prediction |
| title_fullStr |
Data mining and neural networks to determine the financial market prediction |
| title_full_unstemmed |
Data mining and neural networks to determine the financial market prediction |
| title_sort |
Data mining and neural networks to determine the financial market prediction |
| dc.creator.fl_str_mv |
Silva, Jesus García Guliany, Jesús Hernandez, Lissette Portillo, Rafael Varela, Noel Hernandez Palma, Hugo Gaspar Redondo Bilbao, Osman Valero, Lesbia |
| dc.contributor.author.spa.fl_str_mv |
Silva, Jesus García Guliany, Jesús Hernandez, Lissette Portillo, Rafael Varela, Noel Hernandez Palma, Hugo Gaspar Redondo Bilbao, Osman Valero, Lesbia |
| dc.subject.spa.fl_str_mv |
ACP Market prediction Mexican stock exchange |
| topic |
ACP Market prediction Mexican stock exchange |
| description |
Predicting stock market movements has been a complex task for years by gaining the increasing interest of researchers and investors present all around the world. These have tried to get ahead of the way in order to know the levels of return and thus reduce the risk they face in investments [1]. Capital markets are areas of fundamental importance for the development of economies and their good management that favors the transition from savings to investment through the purchase and sale of shares [2]. These actions are so important that they are influenced by economic, social, political, and cultural variables. Therefore, it is reasonable to consider the value of an action in an instant not as a deterministic variable but as a random variable, considering its temporal trajectory as a stochastic process. |
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2020 |
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2020-04-15T19:25:01Z |
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2020-04-15T19:25:01Z |
| dc.date.issued.none.fl_str_mv |
2020-03-05 |
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Pre-Publicación |
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http://purl.org/coar/resource_type/c_816b |
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https://hdl.handle.net/11323/6193 |
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Corporación Universidad de la Costa |
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REDICUC - Repositorio CUC |
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https://repositorio.cuc.edu.co/ |
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Corporación Universidad de la Costa REDICUC - Repositorio CUC |
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eng |
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eng |
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CC0 1.0 Universal |
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http://creativecommons.org/publicdomain/zero/1.0/ |
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Universidad de la Costa |
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Corporación Universidad de la Costa |
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Silva, JesusGarcía Guliany, JesúsHernandez, LissettePortillo, RafaelVarela, NoelHernandez Palma, Hugo GasparRedondo Bilbao, OsmanValero, Lesbia2020-04-15T19:25:01Z2020-04-15T19:25:01Z2020-03-05https://hdl.handle.net/11323/6193Corporación Universidad de la CostaREDICUC - Repositorio CUChttps://repositorio.cuc.edu.co/Predicting stock market movements has been a complex task for years by gaining the increasing interest of researchers and investors present all around the world. These have tried to get ahead of the way in order to know the levels of return and thus reduce the risk they face in investments [1]. Capital markets are areas of fundamental importance for the development of economies and their good management that favors the transition from savings to investment through the purchase and sale of shares [2]. These actions are so important that they are influenced by economic, social, political, and cultural variables. Therefore, it is reasonable to consider the value of an action in an instant not as a deterministic variable but as a random variable, considering its temporal trajectory as a stochastic process.Silva, JesusGarcía Guliany, JesúsHernandez, LissettePortillo, RafaelVarela, NoelHernandez Palma, Hugo Gaspar-will be generated-orcid-0000-0002-3873-0530-600Redondo Bilbao, OsmanValero, LesbiaengUniversidad de la CostaCC0 1.0 Universalhttp://creativecommons.org/publicdomain/zero/1.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2ACPMarket predictionMexican stock exchangeData mining and neural networks to determine the financial market predictionPre-Publicaciónhttp://purl.org/coar/resource_type/c_816bTextinfo:eu-repo/semantics/preprinthttp://purl.org/redcol/resource_type/ARTOTRinfo:eu-repo/semantics/acceptedVersionPublicationORIGINALData Mining and Neural Networks to Determine the Financial Market Prediction.pdfData Mining and Neural Networks to Determine the Financial Market Prediction.pdfapplication/pdf104755https://repositorio.cuc.edu.co/bitstreams/e74b3ef1-3843-4ed7-b93f-749d9e7e0924/downloadfffd104b856d7fded41a6c86e0e4fe0eMD51CC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; charset=utf-8701https://repositorio.cuc.edu.co/bitstreams/b7a62ccc-b746-4d9f-a05d-725e13ee9668/download42fd4ad1e89814f5e4a476b409eb708cMD52LICENSElicense.txtlicense.txttext/plain; charset=utf-81748https://repositorio.cuc.edu.co/bitstreams/0d687bb0-d3e4-40d8-ac73-7d8a01fe2e3c/download8a4605be74aa9ea9d79846c1fba20a33MD53THUMBNAILData Mining and Neural Networks to Determine the Financial Market Prediction.pdf.jpgData Mining and Neural Networks to Determine the Financial Market Prediction.pdf.jpgimage/jpeg48095https://repositorio.cuc.edu.co/bitstreams/c0d1a823-dac5-4a81-864a-2b4b118d0e5d/download246d8c1df5b3b501ced67cbaa6a0612cMD54TEXTData Mining and Neural Networks to Determine the Financial Market Prediction.pdf.txtData Mining and Neural Networks to Determine the Financial Market Prediction.pdf.txttext/plain1158https://repositorio.cuc.edu.co/bitstreams/746da5e4-03fc-4403-a96e-81b473e8ee3d/download12d2fbf68743de4946d9f38adb55da36MD5511323/6193oai:repositorio.cuc.edu.co:11323/61932024-09-17 14:21:11.005http://creativecommons.org/publicdomain/zero/1.0/CC0 1.0 Universalopen.accesshttps://repositorio.cuc.edu.coRepositorio de la Universidad de la Costa CUCrepdigital@cuc.edu.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 |