Nonlinear Dynamics and Recurrence Plots for Detecting Financial Crisis
Peter Martey Addo,
Monica Billio and
Dominique Guegan ()
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Dominique Guegan: Centre d'Economie de la Sorbonne, https://cv.archives-ouvertes.fr/dominique-guegan
Documents de travail du Centre d'Economie de la Sorbonne from Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne
Abstract:
Identification of financial bubbles and crisis is a topic of major concern since it is important to prevent collapses that can severely impact nations and economies. Our analysis deals with the use of the recently proposed "delay vector variance" (DVV) method, which examines local predictability of a signal in the phase space to detect the presence of determinism and nonlinearity in a time series. Optimal embedding parameters used in the DVV analysis are obtained via a differential entropy based method using wavelet-based surrogates. We exploit the concept of recurrence plots to study the stock market to locate hidden patterns, non-stationarity, and to examine the nature of these plots in events of financial crisis. In particular, the recurrence plots are employed to detect and characterize financial cycles. A comprehensive analysis of the feasibility of this approach is provided. We show that our methodology is useful in the diagnosis and detection of financial bubbles, which have significantly impacted economic upheavals in the past few decades
Keywords: Nonlinearity analysis; surrogates; Delay vector variance (DVV) method; wavelets; financial bubbles; embedding parameters; recurrence plots (search for similar items in EconPapers)
JEL-codes: C14 C40 E32 G01 (search for similar items in EconPapers)
Pages: 22 pages
Date: 2013-03
New Economics Papers: this item is included in nep-ecm, nep-ets and nep-ore
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (33)
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ftp://mse.univ-paris1.fr/pub/mse/CES2013/13024.pdf (application/pdf)
Related works:
Journal Article: Nonlinear dynamics and recurrence plots for detecting financial crisis (2013) 
Working Paper: Nonlinear dynamics and recurrence plots for detecting financial crisis (2013)
Working Paper: Nonlinear Dynamics and Recurrence Plots for Detecting Financial Crisis (2013) 
Working Paper: Nonlinear dynamics and recurrence plots for detecting financial crisis (2013)
Working Paper: Nonlinear Dynamics and Recurrence Plots for Detecting Financial Crisis (2013) 
Working Paper: Nonlinear dynamics and recurrence plots for detecting financial crisis (2013)
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Persistent link: https://EconPapers.repec.org/RePEc:mse:cesdoc:13024
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