Chaos and Fractal Impact on Economics

Complexity is one of the most important characteristic properties of the economic behaviour. The new field of knowledge called Chaotic Dynamic Economics born precisely with the objective of understanding, structuring and explaining in an endogenous way such complexity. In this paper, and after scann...

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Detalles Bibliográficos
Autor: Fernández Díaz, Andrés
Tipo de recurso: informe técnico
Fecha de publicación:2015
País:España
Institución:Universidad Complutense de Madrid (UCM)
Repositorio:Docta Complutense
Idioma:inglés
OAI Identifier:oai:docta.ucm.es:20.500.14352/27489
Acceso en línea:https://hdl.handle.net/20.500.14352/27489
Access Level:acceso abierto
Palabra clave:C02
C22
Complexity
Chaos
Fractal
Non-linearity
Correlation dimension
Fractal dimension
Lyapunov exponents
Time series
Capital markets
Predictions.
Complejidad
Caos
fractales
No-linealidad
Dimensión de correlación
Dimensión fractal
Exponente de Lyapunov
Series temporales
Mercado de capitales
Predicción
Mercados bursátiles y financieros
Teorías económicas
5307 Teoría Económica
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repository_id_str
spelling Chaos and Fractal Impact on EconomicsEl impacto en la ciencia económica de la teoría del caos y de los fractales: Teoría y aplicacionesFernández Díaz, AndrésC02C22ComplexityChaosFractalNon-linearityCorrelation dimensionFractal dimensionLyapunov exponentsTime seriesCapital marketsPredictions.ComplejidadCaosfractalesNo-linealidadDimensión de correlaciónDimensión fractalExponente de LyapunovSeries temporalesMercado de capitalesPredicciónMercados bursátiles y financierosTeorías económicas5307 Teoría EconómicaComplexity is one of the most important characteristic properties of the economic behaviour. The new field of knowledge called Chaotic Dynamic Economics born precisely with the objective of understanding, structuring and explaining in an endogenous way such complexity. In this paper, and after scanning the principal concepts and techniques about the mathematics of chaos and the fractal geometry, we analyze the possibilities of application of these valuable tools to the different areas of Economics. After a set of general considerations, within a wide landscape, we tackle the study of two main economic areas: the existence of chaos in time series, and the eventual chaotic behaviour in the Capital Markets during the recent period of crisis, considering the IBEX 35 daily data in the years 2006-2013, obtaining very interesting results.Universidad Complutense de Madrid20152015-01-0120152015-01-01technical reporthttp://purl.org/coar/resource_type/c_18ghinfo:eu-repo/semantics/reportapplication/pdfhttps://hdl.handle.net/20.500.14352/27489reponame:Docta Complutenseinstname:Universidad Complutense de Madrid (UCM)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2Atribución-NoComercial 3.0 Españahttps://creativecommons.org/licenses/by-nc/3.0/es/info:eu-repo/semantics/openAccessoai:docta.ucm.es:20.500.14352/274892026-06-02T12:44:21Z
dc.title.none.fl_str_mv Chaos and Fractal Impact on Economics
El impacto en la ciencia económica de la teoría del caos y de los fractales: Teoría y aplicaciones
title Chaos and Fractal Impact on Economics
spellingShingle Chaos and Fractal Impact on Economics
Fernández Díaz, Andrés
C02
C22
Complexity
Chaos
Fractal
Non-linearity
Correlation dimension
Fractal dimension
Lyapunov exponents
Time series
Capital markets
Predictions.
Complejidad
Caos
fractales
No-linealidad
Dimensión de correlación
Dimensión fractal
Exponente de Lyapunov
Series temporales
Mercado de capitales
Predicción
Mercados bursátiles y financieros
Teorías económicas
5307 Teoría Económica
title_short Chaos and Fractal Impact on Economics
title_full Chaos and Fractal Impact on Economics
title_fullStr Chaos and Fractal Impact on Economics
title_full_unstemmed Chaos and Fractal Impact on Economics
title_sort Chaos and Fractal Impact on Economics
dc.creator.none.fl_str_mv Fernández Díaz, Andrés
author Fernández Díaz, Andrés
author_facet Fernández Díaz, Andrés
author_role author
dc.contributor.none.fl_str_mv Universidad Complutense de Madrid
dc.subject.none.fl_str_mv C02
C22
Complexity
Chaos
Fractal
Non-linearity
Correlation dimension
Fractal dimension
Lyapunov exponents
Time series
Capital markets
Predictions.
Complejidad
Caos
fractales
No-linealidad
Dimensión de correlación
Dimensión fractal
Exponente de Lyapunov
Series temporales
Mercado de capitales
Predicción
Mercados bursátiles y financieros
Teorías económicas
5307 Teoría Económica
topic C02
C22
Complexity
Chaos
Fractal
Non-linearity
Correlation dimension
Fractal dimension
Lyapunov exponents
Time series
Capital markets
Predictions.
Complejidad
Caos
fractales
No-linealidad
Dimensión de correlación
Dimensión fractal
Exponente de Lyapunov
Series temporales
Mercado de capitales
Predicción
Mercados bursátiles y financieros
Teorías económicas
5307 Teoría Económica
description Complexity is one of the most important characteristic properties of the economic behaviour. The new field of knowledge called Chaotic Dynamic Economics born precisely with the objective of understanding, structuring and explaining in an endogenous way such complexity. In this paper, and after scanning the principal concepts and techniques about the mathematics of chaos and the fractal geometry, we analyze the possibilities of application of these valuable tools to the different areas of Economics. After a set of general considerations, within a wide landscape, we tackle the study of two main economic areas: the existence of chaos in time series, and the eventual chaotic behaviour in the Capital Markets during the recent period of crisis, considering the IBEX 35 daily data in the years 2006-2013, obtaining very interesting results.
publishDate 2015
dc.date.none.fl_str_mv 2015
2015-01-01
2015
2015-01-01
dc.type.none.fl_str_mv technical report
http://purl.org/coar/resource_type/c_18gh
dc.type.openaire.fl_str_mv info:eu-repo/semantics/report
format report
dc.identifier.none.fl_str_mv https://hdl.handle.net/20.500.14352/27489
url https://hdl.handle.net/20.500.14352/27489
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Atribución-NoComercial 3.0 España
https://creativecommons.org/licenses/by-nc/3.0/es/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Atribución-NoComercial 3.0 España
https://creativecommons.org/licenses/by-nc/3.0/es/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Docta Complutense
instname:Universidad Complutense de Madrid (UCM)
instname_str Universidad Complutense de Madrid (UCM)
reponame_str Docta Complutense
collection Docta Complutense
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15.812429

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