Multifractal random walk driven by a Hermite process
Résumé
We introduce a Multifractal Random Walk (MRW) defined as a stochastic integral of an infinitely divisible noise with respect to a Hermite process. Hermite processes are self-similar stochastic processes with stationary increments and exhibit long-range dependence. We study the existence of the Hermite MRW and its properties. We propose a continuous time financial model that captures the multifractal properties observed in the empirical data. We also present a numerical analysis of our results.