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Timing matters in foreign exchange markets
Authors:Yoshito Hirata  Kazuyuki Aihara
Affiliation:
  • Institute of Industrial Science, The University of Tokyo, 4-6-1 Komaba, Meguro-ku, Tokyo 153-8505, Japan
  • Abstract:We show using nonlinear time series analysis that the timing of trades in foreign exchange markets has significant information. We apply a set of methods for analyzing point process data developed in neuroscience and nonlinear science. Our results imply that foreign exchange markets might be chaotic and have short-term predictability.
    Keywords:Marked point process   Distances   Recurrence plots   Prediction
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