dc.creatorSilva, Jesus
dc.creatorGarcía Guliany, Jesús
dc.creatorHernandez, Lissette
dc.creatorPortillo, Rafael
dc.creatorVarela, Noel
dc.creatorHernandez Palma, Hugo Gaspar
dc.creatorRedondo Bilbao, Osman
dc.creatorValero, Lesbia
dc.date2020-04-15T19:25:01Z
dc.date2020-04-15T19:25:01Z
dc.date2020-03-05
dc.date.accessioned2023-10-03T20:01:45Z
dc.date.available2023-10-03T20:01:45Z
dc.identifierhttps://hdl.handle.net/11323/6193
dc.identifierCorporación Universidad de la Costa
dc.identifierREDICUC - Repositorio CUC
dc.identifierhttps://repositorio.cuc.edu.co/
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/9173986
dc.descriptionPredicting 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.
dc.formatapplication/pdf
dc.languageeng
dc.publisherUniversidad de la Costa
dc.rightsCC0 1.0 Universal
dc.rightshttp://creativecommons.org/publicdomain/zero/1.0/
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rightshttp://purl.org/coar/access_right/c_abf2
dc.subjectACP
dc.subjectMarket prediction
dc.subjectMexican stock exchange
dc.titleData mining and neural networks to determine the financial market prediction
dc.typePre-Publicación
dc.typehttp://purl.org/coar/resource_type/c_816b
dc.typeText
dc.typeinfo:eu-repo/semantics/preprint
dc.typeinfo:eu-repo/semantics/draft
dc.typehttp://purl.org/redcol/resource_type/ARTOTR
dc.typeinfo:eu-repo/semantics/acceptedVersion
dc.typehttp://purl.org/coar/version/c_ab4af688f83e57aa


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