hal-00585152, version 2
Is a probabilistic modeling really useful in financial engineering?
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A-t-on vraiment besoin d'un modèle probabiliste en ingénierie financière ?
Conférence Méditerranéenne sur l'Ingénierie Sûre des Systèmes Complexes, MISC 2011 (2011)
Abstract: A new standpoint on financial time series, without the use of any mathematical model and of probabilistic tools, yields not only a rigorous approach of trends and volatility, but also efficient calculations which were already successfully applied in automatic control and in signal processing. It is based on a theorem due to P. Cartier and Y. Perrin, which was published in 1995. The above results are employed for sketching a dynamical portfolio and strategy management, without any global optimization technique. Numerous computer simulations are presented.
- 1:
- CNRS : UMR7161 – Polytechnique - X
- 2:
- CNRS : UMR7039 – Université Henri Poincaré - Nancy I – Institut National Polytechnique de Lorraine (INPL)
- 3:
- INRIA : LILLE - NORD EUROPE
- 4:
- Lucid Capital Management
- Domain : Quantitative Finance/Computational Finance
Quantitative Finance/Portfolio Management
Computer Science/Computational Engineering, Finance, and Science
Computer Science/Automatic Control Engineering
Computer Science/Signal and Image Processing
Engineering Sciences/Signal and Image processing
Mathematics/Logic
Mathematics/Statistics
Statistics/Statistics Theory
Statistics/Methodology - Keywords : Quantitative finance – dynamic portfolio management – strategy – time series – trends – volatility – Kalman filters – noise removal – numerical differentiation – nonstandard analysis
- Available versions : v1 (2011-04-12) v2 (2011-05-09)
- hal-00585152, version 2
- http://hal-polytechnique.archives-ouvertes.fr/hal-00585152
- oai:hal-polytechnique.archives-ouvertes.fr:hal-00585152
- From:
- Submitted on: Monday, 9 May 2011 00:18:28
- Updated on: Friday, 18 January 2013 16:44:26




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