Pronostico del indice general de la bolsa de valores de colombia usando redes neuronales
DOI:
https://doi.org/10.22517/23447214.2889Abstract
Una de las formas de medir el comportamiento de la economía de un país, es a través de las bolsas de valores locales. En Colombia el comportamiento económico de la Bolsa de valores se mide a través de tres indicadores principalmente: el Colcap, el Col20 y el Igbc, este último es el más antiguo y más utilizado por los agentes que intervienen en el mercado bursátil. En el presente documento se expone como pronosticar el comportamiento del índice bursátil Igbc a través de la metodología de las redes neuronales, brindando al inversionista la posibilidad de proyectar el comportamiento del mercado bursátil colombiano de forma eficiente.Downloads
Downloads
-
Vistas(Views): 1213
- PDF (Español (España)) Descargas(Downloads): 1023
Published
How to Cite
Issue
Section
License
Copyrights
The journal is free open access. The papers are published under the Creative Commons Attribution / Attribution-NonCommercial-NoDerivatives 4.0 International - CC BY-NC-ND 4.0 license. For this reason, the author or authors of a manuscript accepted for publication will yield all the economic rights to the Universidad Tecnológica of Pereira free of charge, taking into account the following:
In the event that the submitted manuscript is accepted for publication, the authors must grant permission to the journal, in unlimited time, to reproduce, to edit, distribute, exhibit and publish anywhere, either by means printed, electronic, databases, repositories, optical discs, Internet or any other required medium. In all cases, the journal preserves the obligation to respect, the moral rights of the authors, contained in article 30 of Law 23 of 1982 of the Government Colombian.
The transferors using ASSIGNMENT OF PATRIMONIAL RIGHTS letter declare that all the material that is part of the article is entirely free of copyright. Therefore, the authors are responsible for any litigation or related claim to intellectual property rights. They exonerate of all responsibility to the Universidad Tecnológica of Pereira (publishing entity) and the Scientia et Technica journal. Likewise, the authors accept that the work presented will be distributed in free open access, safeguarding copyright under the Creative Commons Attribution / Recognition-NonCommercial-NoDerivatives 4.0 International - https://creativecommons.org/licenses/by-nc-nd/4.0/deed.es license.