A-t-on vraiment besoin d'un modèle probabiliste en ingénierie financière ?
Conference object, Preprint
- Publisher: HAL CCSD
[ QFIN.PM ] Quantitative Finance [q-fin]/Portfolio Management [q-fin.PM] | dynamic portfolio management | Kalman filters | JEL : G - Financial Economics | nonstandard analysis | JEL : C - Mathematical and Quantitative Methods | [ INFO.INFO-AU ] Computer Science [cs]/Automatic Control Engineering | time series | volatility | [ MATH.MATH-ST ] Mathematics [math]/Statistics [math.ST] | [ INFO.INFO-CE ] Computer Science [cs]/Computational Engineering, Finance, and Science [cs.CE] | [ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing | [ QFIN.CP ] Quantitative Finance [q-fin]/Computational Finance [q-fin.CP] | Quantitative finance | [ STAT.ME ] Statistics [stat]/Methodology [stat.ME] | numerical differentiation | [ INFO.INFO-TS ] Computer Science [cs]/Signal and Image Processing | [ MATH.MATH-LO ] Mathematics [math]/Logic [math.LO] | Quantitative finance,dynamic portfolio management,strategy,time series,trends,volatility,Kalman filters,noise removal,numerical differentiation,nonstandard analysis | [ STAT.TH ] Statistics [stat]/Statistics Theory [stat.TH] | strategy | trends | noise removal
International audience; 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...