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The nearest neighbour method as a test for detecting complex dynamics in financial series. An empirical application

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  • Teresa Aparicio
  • Eduardo Pozo
  • Dulce Saura

Abstract

In this paper the nearest neighbour forecasting method is applied to five series taken from the US Stock Market, with the aim of testing whether these display some kind of chaotic dynamics. The main result of this analysis is that the hypothesis may indeed be accepted for all five series. Furthermore, this paper has tried to test the usefulness of the method in terms of the quality of the predictions, with the results obtained being satisfactory in all cases.

Suggested Citation

  • Teresa Aparicio & Eduardo Pozo & Dulce Saura, 2002. "The nearest neighbour method as a test for detecting complex dynamics in financial series. An empirical application," Applied Financial Economics, Taylor & Francis Journals, vol. 12(7), pages 517-525.
    • Handle: RePEc:taf:apfiec:v:12:y:2002:i:7:p:517-525
    DOI: 10.1080/09603100010007986
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    Citations

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    Cited by:

    1. Heinz, Adrian & Jamaloodeen, Mohamed & Saxena, Atul & Pollacia, Lissa, 2021. "Bullish and Bearish Engulfing Japanese Candlestick patterns: A statistical analysis on the S&P 500 index," The Quarterly Review of Economics and Finance, Elsevier, vol. 79(C), pages 221-244.
    2. Marcos álvarez Díaz & Josep Mateu-Sbert, 2011. "Forecasting Daily Air Arrivals in Mallorca Island Using Nearest Neighbour Methods," Tourism Economics, , vol. 17(1), pages 191-208, February.
    3. Aparicio, Teresa & Pozo, Eduardo F. & Saura, Dulce, 2008. "Detecting determinism using recurrence quantification analysis: Three test procedures," Journal of Economic Behavior & Organization, Elsevier, vol. 65(3-4), pages 768-787, March.
    4. Aparicio Teresa & Pozo Eduardo F. & Saura Dulce, 2010. "Detecting Determinism Using Recurrence Quantification Analysis: A Solution to the Problem of Embedding," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 15(1), pages 1-12, December.
    5. Arroyo, Javier & Maté, Carlos, 2009. "Forecasting histogram time series with k-nearest neighbours methods," International Journal of Forecasting, Elsevier, vol. 25(1), pages 192-207.
    6. Álvarez-Díaz, Marcos & Hammoudeh, Shawkat & Gupta, Rangan, 2014. "Detecting predictable non-linear dynamics in Dow Jones Islamic Market and Dow Jones Industrial Average indices using nonparametric regressions," The North American Journal of Economics and Finance, Elsevier, vol. 29(C), pages 22-35.
    7. Marcos Álvarez-Díaz & Shawkat Hammoudeh & Rangan Gupta, 2013. "Detecting Predictable Non-linear Dynamics in Dow Jones Industrial Average and Dow Jones Islamic Market Indices using Nonparametric Regressions," Working Papers 201385, University of Pretoria, Department of Economics.

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