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Complex Dynamics in Macroeconomics: A Novel Approach

In: New Trends in Macroeconomics

Author

Listed:
  • Catherine Kyrtsou

    (University of Macedonia)

  • Constantinos E. Vorlow

    (University of Durham)

Abstract

Summary In this work we employ the Recurrence Quantification Analysis (RQA) framework, effective in discovering evidence of non-linear determinism and complex dynamics in short, noisy and irregular signals. We apply RQA to a set of US macroeconomic time series and simulated sequences in order to provide a classification based on topological aspects of their dynamics. Through RQA we can in general obtain useful information on the quality and complexity of the structure of the dynamics in an economy, as this is embedded in its macroeconomic time series.

Suggested Citation

  • Catherine Kyrtsou & Constantinos E. Vorlow, 2005. "Complex Dynamics in Macroeconomics: A Novel Approach," Springer Books, in: Claude Diebolt & Catherine Kyrtsou (ed.), New Trends in Macroeconomics, pages 223-238, Springer.
    • Handle: RePEc:spr:sprchp:978-3-540-28556-4_11
    DOI: 10.1007/3-540-28556-3_11
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    Citations

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    Cited by:

    1. Crowley, Patrick & Aaron, Schultz, 2010. "A New Approach to Analyzing Convergence and Synchronicity in Growth and Business Cycles: Cross Recurrence Plots and Quantification Analysis," MPRA Paper 23728, University Library of Munich, Germany.
    2. Krishnadas M. & K. P. Harikrishnan & G. Ambika, 2022. "Recurrence measures and transitions in stock market dynamics," Papers 2208.03456, arXiv.org.
    3. Kyrtsou, Catherine & Labys, Walter C., 2006. "Evidence for chaotic dependence between US inflation and commodity prices," Journal of Macroeconomics, Elsevier, vol. 28(1), pages 256-266, March.
    4. Amaral, Amaury S. & Camargo, Victor E. & Crepaldi, Antônio F. & Ferreira, Fernando F., 2022. "Interaction between economies in a business cycle model," Chaos, Solitons & Fractals, Elsevier, vol. 155(C).
    5. Crowley, Patrick & Aaron, Schultz, 2010. "A New Approach to Analyzing Convergence and Synchronicity in Growth and Business Cycles: Cross Recurrence Plots and Quantification Analysis," MPRA Paper 23728, University Library of Munich, Germany.
    6. Tzagkarakis George & Dionysopoulos Thomas & Achim Alin, 2016. "Recurrence quantification analysis of denoised index returns via alpha-stable modeling of wavelet coefficients: detecting switching volatility regimes," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 20(1), pages 75-96, February.
    7. Volos, Ch. K. & Kyprianidis, I.M. & Stouboulos, I.N. & Vaidyanathan, S. & Pham, V.-T., 2016. "Analysis, adaptive control and circuit simulation of a novel nonlinear finance systemAuthor-Name: Tacha, O.I," Applied Mathematics and Computation, Elsevier, vol. 276(C), pages 200-217.
    8. Kyrtsou, Catherine & Malliaris, Anastasios G. & Serletis, Apostolos, 2009. "Energy sector pricing: On the role of neglected nonlinearity," Energy Economics, Elsevier, vol. 31(3), pages 492-502, May.
    9. M., Krishnadas & Harikrishnan, K.P. & Ambika, G., 2022. "Recurrence measures and transitions in stock market dynamics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 608(P1).
    10. Catherine Kyrtsou & Michel Terraza, 2010. "Seasonal Mackey–Glass–GARCH process and short-term dynamics," Empirical Economics, Springer, vol. 38(2), pages 325-345, April.
    11. Kyrtsou, Catherine & Malliaris, Anastasios G., 2009. "The impact of information signals on market prices when agents have non-linear trading rules," Economic Modelling, Elsevier, vol. 26(1), pages 167-176, January.
    12. repec:zbw:bofrdp:2010_016 is not listed on IDEAS
    13. Karagianni Stella & Kyrtsou Catherine, 2011. "Analysing the Dynamics between U.S. Inflation and Dow Jones Index Using Non-Linear Methods," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 15(2), pages 1-25, March.

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