Exponential (1-component) stochastic volatility process
The one component discrete exponential stochastic volatility model is defined by:
The parameters of the process are σ∞, τ, γ and the PDF for ϵr and ϵσ.
The various terms are:
δt: the time step for the discrete process. The term ’1y’ denote the one year time interval, and the factor
brings the annualized volatility σ∞ to the scale δt.
ϵr: random variable, with zero mean and unit variance.
σ∞: Proportional to the annualized volatility (up to correction in
exp(< h2>)).
τ: The characteristic time of return for h(t) toward zero.
γ: The strength of the volatility noise.
ϵσ: random variable, with zero mean and unit variance.
The parameters for the simulations are:
σ∞ = 0.11
τ = 4 day
γ = 0.5
p(ϵr) = Student with 3.3 degree of freedom
p(ϵσ) = Student with 10 degree of freedom.
The simulation time corresponds to 200 years with a time increment δt = 3
minutes.
Simulation with p(ϵσ) = Gaussian gives with similar results.