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Recurrence Plots in Nonlinear Time Series Analysis: Free Software

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  • Belaire-Franch, Jorge
  • Contreras, Dulce

Abstract

Recurrence plots are graphical devices specially suited to detect hidden dynamical patterns and nonlinearities in data. However, there are few programs available to apply such a mehodology. This paper reviews one of the best free programs to apply nonlinear time series analysis: Visual Recurrence Analysis (VRA). This program is targeted to recurrence analysis and the so-called Recurrence Quantitative Analysis (RQA, the quantitative counterpart of recurrence plots), although it includes many procedures in a friendly visual environment. Comparisons with alternative programs are performed.

Suggested Citation

  • Belaire-Franch, Jorge & Contreras, Dulce, 2002. "Recurrence Plots in Nonlinear Time Series Analysis: Free Software," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 7(i09).
    • Handle: RePEc:jss:jstsof:v:007:i09
    DOI: http://hdl.handle.net/10.18637/jss.v007.i09
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    References listed on IDEAS

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    1. Brock, William A. & Sayers, Chera L., 1988. "Is the business cycle characterized by deterministic chaos?," Journal of Monetary Economics, Elsevier, vol. 22(1), pages 71-90, July.
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    Cited by:

    1. Amelia Carolina Sparavigna, 2014. "Recurrence plots of exchange rates of currencies," Papers 1408.4746, arXiv.org.
    2. Marisa Faggini, 2011. "Chaotic Time Series Analysis in Economics: Balance and Perspectives," Working papers 25, Former Department of Economics and Public Finance "G. Prato", University of Torino.
    3. Lucia Ceja & José Navarro, 2009. "Dynamics of Flow: A Nonlinear Perspective," Journal of Happiness Studies, Springer, vol. 10(6), pages 665-684, December.
    4. Marisa Faggini & Bruna Bruno & Anna Parziale, 2019. "Does Chaos Matter in Financial Time Series Analysis?," International Journal of Economics and Financial Issues, Econjournals, vol. 9(4), pages 18-24.
    5. Naeem, Muhammad Abubakr & Karim, Sitara & Abrar, Afsheen & Yarovaya, Larisa & Shah, Adil Ahmad, 2023. "Non-linear relationship between oil and cryptocurrencies: Evidence from returns and shocks," International Review of Financial Analysis, Elsevier, vol. 89(C).

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