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Complex Systems Approach to Economic Dynamics [electronic resource] / by A. Chian.

Por: Tipo de material: TextoTextoSeries Lecture Notes in Economics and Mathematical Systems ; 592 | Lecture Notes in Economics and Mathematical Systems ; 592Editor: Berlin, Heidelberg : Springer Berlin Heidelberg, 2007Descripción: X, 101 p. 40 illus. online resourceTipo de contenido:
  • text
Tipo de medio:
  • computer
Tipo de soporte:
  • online resource
ISBN:
  • 9783540397533
Trabajos contenidos:
  • SpringerLink (Online service)
Tema(s): Formatos físicos adicionales: Sin títuloClasificación CDD:
  • 330.0151 23
  • 330 23
Clasificación LoC:
  • HB144
Recursos en línea:
Contenidos:
Springer eBooksResumen: Economic Systems exhibit complex dynamics evidenced by large-amplitude and aperiodic fluctuations in economic variables, such as foreign exchange rates and stock market prices, indicating that these systems are driven far from the equilibrium. Characterization of the complex behavior of economic cycles, by identifying regular and irregular patterns and regime switching in economic time series, is the key for pattern recognition and forecasting of economic cycles. Statistical analysis of stock markets and foreign exchange markets has demonstrated the intermittent nature of economic time series. A nonlinear model of business cycles is able to simulate intermittency arising from order-chaos and chaos-chaos transitions. This monograph introduces new concepts of unstable periodic orbits and chaotic saddles which are unstable structures embedded in a chaotic attractor, responsible for economic intermittency.
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Nonlinear Dynamics of Economic Cycles -- Type-I Intermittency in Nonlinear Economic Cycles -- Crisis-Induced Intermittency in Nonlinear Economic Cycles -- Attractor Merging Crisis in Nonlinear Economic Cycles -- Chaotic Transients in Nonlinear Economic Cycles -- Conclusion.

Economic Systems exhibit complex dynamics evidenced by large-amplitude and aperiodic fluctuations in economic variables, such as foreign exchange rates and stock market prices, indicating that these systems are driven far from the equilibrium. Characterization of the complex behavior of economic cycles, by identifying regular and irregular patterns and regime switching in economic time series, is the key for pattern recognition and forecasting of economic cycles. Statistical analysis of stock markets and foreign exchange markets has demonstrated the intermittent nature of economic time series. A nonlinear model of business cycles is able to simulate intermittency arising from order-chaos and chaos-chaos transitions. This monograph introduces new concepts of unstable periodic orbits and chaotic saddles which are unstable structures embedded in a chaotic attractor, responsible for economic intermittency.

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