(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