ADOL: Markovian approximation of a rough lognormal model
A variation of the rough volatility model is introduced by plugging in a different stochastic process
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Peter Carr and Andrey Itkin apply a Markovian approximation of the fractional Brownian motion, known as the Dobrić-Ojeda process, to the fractional stochastic volatility model, where the instantaneous variance is modelled using a lognormal process with drift and fractional diffusion
Gatheral et al (2014) discovered that historical volatility time series exhibit behaviour that is much rougher than that of a Brownian motion for a wide range of assets. These authors
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