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Strong Taylor Schemes for Stochastic Volatility

Introduction

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)

Fourier Lévy formulae

Exact Fourier Lévy formulae

Real Variance formulae

Simulation of the Double Integral

Conclusions and Observations

Ornstein-Uhlenbeck Process

Formulae derivation for Heston Volatility

The fundamental solution

Derivation of the 2D Milstein Scheme

Numerical Data of the Double Integral

References

Books Related

Strong Taylor Schemes for Stochastic 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:

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

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