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 double integrals have the following main property:
(27)
and if we simulate the two integrals using the subdivision method from Kloeden described above, we can see that this is only true in the first time step (n = 1). Furthermore, if we calculate the variance of the integral, we can conclude that it depends on the time step n.
The variance of the integral change as the time step n increases (figure 2.2), tends to zero when n and NK tend to infinity:
Var [I(2,1):n]= 0 if n --> ∞ and NK -->∞
However, if we change the initial conditions {26} to zero, the variance of the integral changes to:
for all n time steps; that is, exactly half of the variance of ∆W1,n∆W2,n. Indeed, if we test the main property {27}, we can see that it is true for all time steps n, and the variance of the integral does not change for all n (figure 2.2).

Furthermore, if we simulate both methods with different integration steps Nk, and if:
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we have to see that this error tends to zero as Nk tends to infinity. This behavior is not true in the first method (figure 2.3).

Figure 2.3.- Comparison of the maxim error of 100 simulations between the two subdivision methods with different integration step NK .
In summary, we conclude that the double Ito integral {24} can be simulated using the subdivision method given by Kloeden by changing the initial conditions {26} to zero. The accuracy or error in the calculation of {24} depends directly on the value of "NK" and is given by the next approximation formulae (figure 2.3):
(28)
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