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3èmes Journées Identification et Modélisation Expérimentale, JIME'2011, Douai : France (2011)
Volatility made observable at last
Michel Fliess 1, Cédric Join 2, 3, Frédéric Hatt 4
(2011-04-06)

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
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
Time series – quantitative finance – trends – returns – volatility – beta coefficient – Sharpe ratio – Treynor ratio – forecasts – estimation techniques – numerical differentiation – nonstandard analysis
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