Abstract
We present the construction of a continuous-time stochastic process which has moments that satisfy an exact scaling relation, including odd-order moments. It is based on a natural extension of the multifractal random walk construction described in Bacry and Muzy (2003). This allows us to propose a continuous-time model for the price of a financial asset that reflects most major stylized facts observed on real data, including asymmetry and multifractal scaling.
Citation
Emmanuel Bacry. Laurent Duvernet. Jean-François Muzy. "Continuous-time skewed multifractal processes as a model for financial returns." J. Appl. Probab. 49 (2) 482 - 502, June 2012. https://doi.org/10.1239/jap/1339878800
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