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Apparent multifractality in financial time series
Authors:J-P Bouchaud  M Potters  M Meyer
Institution:(1) Science & Finance, 109-111 rue Victor Hugo, 92532 Levallois Cedex, France, FR;(2) Service de Physique de l'état Condensé, Centre d'études de Saclay, Orme des Merisiers, 91191 Gif-sur-Yvette Cedex, France, FR
Abstract:We present a exactly soluble model for financial time series that mimics the long range volatility correlations known to be present in financial data. Although our model is asymptotically `monofractal' by construction, it shows apparent multiscaling as a result of a slow crossover phenomenon on finite time scales. Our results suggest that it might be hard to distinguish apparent and true multifractal behavior in financial data. Our model also leads to a new family of stable laws for sums of correlated random variables. Received 30 June 1999
Keywords:PACS  02  50  -r Probability theory  stochastic processes  and statistics - 05  40  -a Fluctuation phenomena  random processes            noise  and Brownian motion - 89  90  +n Other topics of general interest to physicists (restricted to new topics in section          89)
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