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RQA correlations on business cycles: A comparison between real and simulated data

Capitolo di libro
Data di Pubblicazione:
2019
Abstract:
Business cycles are complex phenomena which oscillate because of economic downturns and expansions. Recurrence quantification analysis (RQA) detects state changes without necessitating any a priori mathematical assumption and highlight hidden features of the dynamics both at equilibrium and near transition phases. This paper aims to explore some potential application of recurrence quantification analysis in detecting cycles in economy and compares them with oscillations derived from a Kaldor-Kalecki non-linear model.
Tipologia CRIS:
2.1 Contributo in volume (Capitolo o Saggio)
Keywords:
Determinism, Numerical Chaos, Applications to Economics, Economic Dynamics
Elenco autori:
Zimatore, Giovanna
Autori di Ateneo:
ZIMATORE GIOVANNA
Link alla scheda completa:
https://iris.uniecampus.it/handle/11389/28852
Titolo del libro:
Advances on Nonlinear Dynamics of Electronic Systems
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URL

https://www.worldscientific.com/doi/10.1142/9789811201523_0012
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