Titlebook: Complex Systems Approach to Economic Dynamics; A. Chian Book 2007 Springer-Verlag Berlin Heidelberg 2007 Business Cycles.Chaos.Economic Dy

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書目名稱Complex Systems Approach to Economic Dynamics影響因子(影響力)




書目名稱Complex Systems Approach to Economic Dynamics影響因子(影響力)學(xué)科排名




書目名稱Complex Systems Approach to Economic Dynamics網(wǎng)絡(luò)公開度




書目名稱Complex Systems Approach to Economic Dynamics網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Complex Systems Approach to Economic Dynamics被引頻次




書目名稱Complex Systems Approach to Economic Dynamics被引頻次學(xué)科排名




書目名稱Complex Systems Approach to Economic Dynamics年度引用




書目名稱Complex Systems Approach to Economic Dynamics年度引用學(xué)科排名




書目名稱Complex Systems Approach to Economic Dynamics讀者反饋




書目名稱Complex Systems Approach to Economic Dynamics讀者反饋學(xué)科排名

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Nonlinear Dynamics of Economic Cycles,or complex economic dynamics. Numerical solutions of this model can elucidate the fundamental properties of complex economic systems which exhibit a wealth of nonlinear behaviors such as multistability as well as coexistence of order and chaos. Unstable periodic orbits are the skeleton of chaotic attractors in complex economic systems.

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Chaotic Transients in Nonlinear Economic Cycles,ency. Chapter 5 analyzed an attractor merging crisis in chaotic business cycles which leads to a transition from weak chaos to strong chaos; the strong chaos exhibits a dynamical behavior known as crisis-induced intermittency, as seen in chapter 4.

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0075-8442 ic 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

嚴(yán)峻考驗

https://doi.org/10.1007/978-3-476-99168-3een periods of low-level apparently periodic (quiescent) and high-level turbulent (bursting) activities. This model of economic intermittency exhibits power-law spectrum similar to the nonlinear time series observed in financial markets.

嚴(yán)峻考驗

https://doi.org/10.1007/978-3-476-99168-3iods of weakly and strongly chaotic fluctuations of economic variables. The characteristic intermittency time, useful for forecasting the average duration of contractionary phases and the turning point to the expansionary phase of business cycles, is computed from the simulated time series.

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Burckhardt Helferich,Hugo Wilhelm Knippingor complex economic dynamics. Numerical solutions of this model can elucidate the fundamental properties of complex economic systems which exhibit a wealth of nonlinear behaviors such as multistability as well as coexistence of order and chaos. Unstable periodic orbits are the skeleton of chaotic attractors in complex economic systems.