The Complexity of Latin-American Stock Market using a Behavioral Cellular Automaton Model
The aim of this research is to evaluate the complexity level of Latin-American stock market using a cellular automaton model. For this purpose six indexes are studied: COLCAP, IPSA, MERVAL, MEXBOL, SPBLPGPT and IBOV respectively, during the period 2004 and 2016. The series are analyzed from their st...
- Autores:
- Tipo de recurso:
- http://purl.org/coar/resource_type/c_7070
- Fecha de publicación:
- 2017
- Institución:
- Universidad Pedagógica y Tecnológica de Colombia
- Repositorio:
- RiUPTC: Repositorio Institucional UPTC
- Idioma:
- spa
- OAI Identifier:
- oai:repositorio.uptc.edu.co:001/11960
- Acceso en línea:
- https://revistas.uptc.edu.co/index.php/cenes/article/view/5421
https://repositorio.uptc.edu.co/handle/001/11960
- Palabra clave:
- behavioral finance
underlying principles
computational techniques
simulation modeling.
finanzas conductuales
principios subyacentes
técnicas computacionales
modelado y simulación.
- Rights
- License
- http://creativecommons.org/licenses/by-nc-sa/4.0
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2017-06-202024-07-05T18:44:37Z2024-07-05T18:44:37Zhttps://revistas.uptc.edu.co/index.php/cenes/article/view/542110.19053/01203053.v36.n64.2017.5421https://repositorio.uptc.edu.co/handle/001/11960The aim of this research is to evaluate the complexity level of Latin-American stock market using a cellular automaton model. For this purpose six indexes are studied: COLCAP, IPSA, MERVAL, MEXBOL, SPBLPGPT and IBOV respectively, during the period 2004 and 2016. The series are analyzed from their statistical behavior, adjustment of returns and estimation of its complexity. The last one is contrasted with the complexity level obtained simulating an artificial stock market model. Concluding that although Latin-American stock markets present differences they have similar tendencies and their complexity level cannot be predicted by a purely behavioral cellular automaton model.La presente investigación busca evaluar el nivel de complejidad del mercado latinoamericano, mediante la construcción de un modelo autómata celular. Para ello se estudian seis índices bursátiles: COLCAP, IPSA, MERVAL, MEXBOL, SPBLPGPT e IBOV, en el periodo 2004-2016. Estas series son analizadas a partir de su comportamiento estadístico, el ajuste de retornos y la estimación de su grado de complejidad. Este último es contrastado posteriormente con el nivel de complejidad obtenido mediante la simulación de un mercado bursátil artificial, y se concluye que los mercados latinoamericanos, a pesar de presentar diferencias, suelen tener tendencias similares, ya que su grado de complejidad no puede ser pronosticado por un modelo autómata celular conductual basado netamente en la imitación.text/htmlapplication/pdfspaspaUniversidad Pedagógica y Tecnológica de Colombiahttps://revistas.uptc.edu.co/index.php/cenes/article/view/5421/5413https://revistas.uptc.edu.co/index.php/cenes/article/view/5421/5669Copyright (c) 2017 Leonardo Hernán Talero Sarmiento, Juan Benjamín Duarte Duarte, Laura Daniela Garcés Carreñohttp://creativecommons.org/licenses/by-nc-sa/4.0http://purl.org/coar/access_right/c_abf571http://purl.org/coar/access_right/c_abf2Apuntes del Cenes; Vol. 36 No. 64 (2017); 199-223Apuntes del Cenes; Vol. 36 Núm. 64 (2017); 199-2232256-57790120-3053behavioral financeunderlying principlescomputational techniquessimulation modeling.finanzas conductualesprincipios subyacentestécnicas computacionalesmodelado y simulación.The Complexity of Latin-American Stock Market using a Behavioral Cellular Automaton ModelLa complejidad del mercado bursátil latinoamericano a partir de un modelo autómata celular conductualinfo:eu-repo/semantics/articlePeer reviewed Articlehttp://purl.org/coar/resource_type/c_7070http://purl.org/coar/resource_type/c_2df8fbb1info:eu-repo/semantics/publishedVersionhttp://purl.org/coar/version/c_970fb48d4fbd8a654http://purl.org/coar/version/c_970fb48d4fbd8a85Talero Sarmiento, Leonardo HernánDuarte Duarte, Juan BenjamínGarcés Carreño, Laura Daniela001/11960oai:repositorio.uptc.edu.co:001/119602025-07-18 12:13:57.98metadata.onlyhttps://repositorio.uptc.edu.coRepositorio Institucional UPTCrepositorio.uptc@uptc.edu.co |
dc.title.en-US.fl_str_mv |
The Complexity of Latin-American Stock Market using a Behavioral Cellular Automaton Model |
dc.title.es-ES.fl_str_mv |
La complejidad del mercado bursátil latinoamericano a partir de un modelo autómata celular conductual |
title |
The Complexity of Latin-American Stock Market using a Behavioral Cellular Automaton Model |
spellingShingle |
The Complexity of Latin-American Stock Market using a Behavioral Cellular Automaton Model behavioral finance underlying principles computational techniques simulation modeling. finanzas conductuales principios subyacentes técnicas computacionales modelado y simulación. |
title_short |
The Complexity of Latin-American Stock Market using a Behavioral Cellular Automaton Model |
title_full |
The Complexity of Latin-American Stock Market using a Behavioral Cellular Automaton Model |
title_fullStr |
The Complexity of Latin-American Stock Market using a Behavioral Cellular Automaton Model |
title_full_unstemmed |
The Complexity of Latin-American Stock Market using a Behavioral Cellular Automaton Model |
title_sort |
The Complexity of Latin-American Stock Market using a Behavioral Cellular Automaton Model |
dc.subject.en-US.fl_str_mv |
behavioral finance underlying principles computational techniques simulation modeling. |
topic |
behavioral finance underlying principles computational techniques simulation modeling. finanzas conductuales principios subyacentes técnicas computacionales modelado y simulación. |
dc.subject.es-ES.fl_str_mv |
finanzas conductuales principios subyacentes técnicas computacionales modelado y simulación. |
description |
The aim of this research is to evaluate the complexity level of Latin-American stock market using a cellular automaton model. For this purpose six indexes are studied: COLCAP, IPSA, MERVAL, MEXBOL, SPBLPGPT and IBOV respectively, during the period 2004 and 2016. The series are analyzed from their statistical behavior, adjustment of returns and estimation of its complexity. The last one is contrasted with the complexity level obtained simulating an artificial stock market model. Concluding that although Latin-American stock markets present differences they have similar tendencies and their complexity level cannot be predicted by a purely behavioral cellular automaton model. |
publishDate |
2017 |
dc.date.accessioned.none.fl_str_mv |
2024-07-05T18:44:37Z |
dc.date.available.none.fl_str_mv |
2024-07-05T18:44:37Z |
dc.date.none.fl_str_mv |
2017-06-20 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.en-US.fl_str_mv |
Peer reviewed Article |
dc.type.coar.fl_str_mv |
http://purl.org/coar/resource_type/c_2df8fbb1 |
dc.type.coarversion.fl_str_mv |
http://purl.org/coar/version/c_970fb48d4fbd8a85 |
dc.type.coar.spa.fl_str_mv |
http://purl.org/coar/resource_type/c_7070 |
dc.type.version.spa.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.coarversion.spa.fl_str_mv |
http://purl.org/coar/version/c_970fb48d4fbd8a654 |
format |
http://purl.org/coar/resource_type/c_7070 |
status_str |
publishedVersion |
dc.identifier.none.fl_str_mv |
https://revistas.uptc.edu.co/index.php/cenes/article/view/5421 10.19053/01203053.v36.n64.2017.5421 |
dc.identifier.uri.none.fl_str_mv |
https://repositorio.uptc.edu.co/handle/001/11960 |
url |
https://revistas.uptc.edu.co/index.php/cenes/article/view/5421 https://repositorio.uptc.edu.co/handle/001/11960 |
identifier_str_mv |
10.19053/01203053.v36.n64.2017.5421 |
dc.language.none.fl_str_mv |
spa |
dc.language.iso.spa.fl_str_mv |
spa |
language |
spa |
dc.relation.none.fl_str_mv |
https://revistas.uptc.edu.co/index.php/cenes/article/view/5421/5413 https://revistas.uptc.edu.co/index.php/cenes/article/view/5421/5669 |
dc.rights.en-US.fl_str_mv |
http://creativecommons.org/licenses/by-nc-sa/4.0 |
dc.rights.coar.fl_str_mv |
http://purl.org/coar/access_right/c_abf2 |
dc.rights.coar.spa.fl_str_mv |
http://purl.org/coar/access_right/c_abf571 |
rights_invalid_str_mv |
http://creativecommons.org/licenses/by-nc-sa/4.0 http://purl.org/coar/access_right/c_abf571 http://purl.org/coar/access_right/c_abf2 |
dc.format.none.fl_str_mv |
text/html application/pdf |
dc.publisher.en-US.fl_str_mv |
Universidad Pedagógica y Tecnológica de Colombia |
dc.source.en-US.fl_str_mv |
Apuntes del Cenes; Vol. 36 No. 64 (2017); 199-223 |
dc.source.es-ES.fl_str_mv |
Apuntes del Cenes; Vol. 36 Núm. 64 (2017); 199-223 |
dc.source.none.fl_str_mv |
2256-5779 0120-3053 |
institution |
Universidad Pedagógica y Tecnológica de Colombia |
repository.name.fl_str_mv |
Repositorio Institucional UPTC |
repository.mail.fl_str_mv |
repositorio.uptc@uptc.edu.co |
_version_ |
1839633904038838272 |