Strong Taylor Schemes for Stochastic Volatility
Ito and Stratonovich Stochastic Calculus
Ito-Stratonovich drift conversion
Strong Numerical Schemes for SDE
Milstein scheme for commutative noise
Approximations of Volatility Models
General 2D Milstein scheme for stochastic volatility models
Approximations of the Double Integral
Subdivision (Kloeden - IC = 0)
Simulation of the Double Integral
Formulae derivation for Heston Volatility
Derivation of the 2D Milstein Scheme
The "General Heston Model" is:

Using X1 = S, and X2 = ν, the previous equation can be transformed to a vector with independent noise sources:
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to obtain the corresponding general form:

where:

Using the definition for the Milstein scheme, the approximation of X has the following form:
(52)
f or i = 1, ..., N ; j = 1, ..., M
where:

Substituting:

Then:

Calculating the respective derivatives, we get:

The double integrals have the following properties:

Substituting the previous properties, we get:

Substituting the previous results in {52}, we get:

Finally, returning to the original variables and the correlated noise, we get:

where:

Prof. Klaus Schmitz

Strong Taylor Schemes for Stochastic Volatility
This method requires formulas that are not always easy or possible to find. In this document, we present the corresponding approximations for both Euler and Milstein schemes for the usual Geometric Brownian Motion and the stochastic volatility models. Also, we present five methods of how we can simulate the double integrals for the 2 dimensional Milstein approximation.
By Prof. Klaus Erich Schmitz Abe