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hal-00562488, version 1

Volatility made observable at last

Michel Fliess () 1, Cédric Join 23, Frédéric Hatt 4

3èmes Journées Identification et Modélisation Expérimentale, JIME'2011 (2011) CDROM

Abstract: The Cartier-Perrin theorem, which was published in 1995 and is expressed in the language of nonstandard analysis, permits, for the first time perhaps, a clear-cut mathematical definition of the volatility of a financial asset. It yields as a byproduct a new understanding of the means of returns, of the beta coefficient, and of the Sharpe and Treynor ratios. New estimation techniques from automatic control and signal processing, which were already successfully applied in quantitative finance, lead to several computer experiments with some quite convincing forecasts.

  • 1:  Laboratoire d'informatique de l'école polytechnique (LIX)
  • CNRS : UMR7161 – Polytechnique - X
  • 2:  Centre de recherche en automatique de Nancy (CRAN)
  • CNRS : UMR7039 – Université Henri Poincaré - Nancy I – Institut National Polytechnique de Lorraine (INPL)
  • 3:  ALIEN (INRIA Saclay - Ile de France/Inria Lille - Nord Europe)
  • INRIA – Polytechnique - X – Ecole Centrale de Lille – CNRS : UMR8146
  • 4:  Lucid Capital Management
  • Lucid Capital Management
  • Domain : Quantitative Finance/Computational Finance
    Quantitative Finance/Statistical Finance
    Computer Science/Computational Engineering, Finance, and Science
    Computer Science/Automatic Control Engineering
    Engineering Sciences/Signal and Image processing
    Mathematics/Logic
    Statistics/Methodology
    Computer Science/Signal and Image Processing
    Environmental Sciences/Environmental Engineering
  • Keywords : Time series – quantitative finance – trends – returns – volatility – beta coefficient – Sharpe ratio – Treynor ratio – forecasts – estimation techniques – numerical differentiation – nonstandard analysis
 
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  • Submitted on: Thursday, 3 February 2011 14:23:20
  • Updated on: Sunday, 17 April 2011 19:29:44