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inria-00352834, version 1

A mathematical proof of the existence of trends in financial time series

Michel Fliess () 12, Cédric Join () 23

Systems Theory: Modelling, Analysis and Control (2009) 43-62

Abstract: We are settling a longstanding quarrel in quantitative finance by proving the existence of trends in financial time series thanks to a theorem due to P. Cartier and Y. Perrin, which is expressed in the language of nonstandard analysis (Integration over finite sets, F. & M. Diener (Eds): Nonstandard Analysis in Practice, Springer, 1995, pp. 195--204). Those trends, which might coexist with some altered random walk paradigm and efficient market hypothesis, seem nevertheless difficult to reconcile with the celebrated Black-Scholes model. They are estimated via recent techniques stemming from control and signal theory. Several quite convincing computer simulations on the forecast of various financial quantities are depicted. We conclude by discussing the rôle of probability theory.

  • Domain : Quantitative Finance/Statistical Finance
    Computer Science/Computational Engineering, Finance, and Science
    Mathematics/Statistics
    Statistics/Statistics Theory
    Mathematics/Logic
    Mathematics/Classical Analysis and ODEs
    Mathematics/Probability
    Computer Science/Automatic Control Engineering
    Computer Science/Signal and Image Processing
    Statistics/Applications
    Quantitative Finance/Computational Finance
    Engineering Sciences/Signal and Image processing
  • Keywords : Financial time series – mathematical finance – technical analysis – trends – random walks – efficient markets – forecasting – volatility – heteroscedasticity – quickly fluctuating functions – low-pass filters – nonstandard analysis – operational calculus.
 
  • inria-00352834, version 1
  • oai:hal.inria.fr:inria-00352834
  • From: 
  • Submitted on: Wednesday, 14 January 2009 08:12:29
  • Updated on: Monday, 1 June 2009 00:34:00
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