Complexity in Economics: Cutting Edge Research by Marisa Faggini, Anna Parziale PDF

By Marisa Faggini, Anna Parziale

ISBN-10: 3319051849

ISBN-13: 9783319051840

ISBN-10: 3319051857

ISBN-13: 9783319051857

In this e-book, prime specialists speak about cutting edge parts of complexity idea and chaos idea in economics.

The underlying point of view is that investigations of financial phenomena may still view those phenomena now not as deterministic, predictable and mechanistic yet fairly as procedure based, natural and regularly evolving.

The target is to focus on the fascinating strength of this procedure in economics and its skill to beat the constraints of previous study and supply very important new insights. The ebook deals a stimulating mixture of conception, examples and policy.

By casting gentle on quite a few themes within the box, it is going to supply an awesome platform for researchers wishing to deepen their figuring out and establish parts for extra investigation.

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Extra resources for Complexity in Economics: Cutting Edge Research

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1995), which adopts a generalized synchronization approach, implies predictability of the response system’s behavior by the driving system. This is the starting point for testing for interdependence of two systems which assumes existence of function φ that projects values from the trajectories of the driving system D space into the trajectories in the response system R space. In practice, however, when the degrees and directions of the coupling between the systems are unknown, one aims to reconstruct the dynamics of the two systems by time-delay embedding method, and then estimates statistics for testing for dynamical interdependence between the reconstructed systems.

In practice, however, when the degrees and directions of the coupling between the systems are unknown, one aims to reconstruct the dynamics of the two systems by time-delay embedding method, and then estimates statistics for testing for dynamical interdependence between the reconstructed systems. This is the basis for the mutual prediction method for testing for interdependence of two dynamical systems (Pecora and Carroll 1990; Schiff et al. 1996; Breakspear and Terry 2002), a method used by Soofi et al.

S. dollar case. Econ. Lett. : Synchronization: From Simple to Complex. Springer, Heildelberg (2009) 28 A. S. Soofi et al. : Topographic organization of nonlinear interdependence in multichannel human EEG. : A test for independence based on the correlation dimension. Econom. Rev. : Extracting qualitative dynamics from experimental data. : Practical method for determining the minimum embedding dimension of a scalar time series. : Dynamics from multivariate time series. : Predicting economic time series using a nonlinear deterministic technique.

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Complexity in Economics: Cutting Edge Research by Marisa Faggini, Anna Parziale


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