CHANGE LANGUAGE | Home > Doc > Strong Taylor Schemes for Stochastic Volatility > Ito and Stratonovich Stochastic Calculus

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

Ito and Stratonovich Stochastic Calculus

We start with a formal definition of our process which we use the rest of the thesis. An N-dimensional Ito SDE with an M-dimensional Wiener process, e.g. with M pair-wise independent scalar Wiener processes as its components, will be written in vector form as:

or more general, as a component-wise:

(3)

This vector SDE could thus be written as:

dXt = A(Xt, t)dt + B(Xt, t)dWt

Similar notation can be used for a Stratonovich SDE:

dXt = A(Xt, t)dt + B(Xt, t) ◦ dWt

Ito Stochastic Calculus

For a sufficiently smooth transformation U : [0, T ] × RN --> R of the solution Xt of the Ito {SDE-3}:

f or i = 1, ..., N ; j = 1, ..., M

the scalar process Yt = U (Xt, t) satisfies the following Ito SDE:

(4)

with the differential operators L0, L1, :::, LM with respect to this SDE:

and

These operators play a fundamental role in Ito stochastic calculus through the Ito formulae for the stochastic chain rule and subsequently for stochastic Taylor expansions and numerical schemes for the SDEs that are based on stochastic Taylor expansions. It differs from what might be expected from deterministic calculus by the presence of the second order term in the L0 operator, which is essentially due to the fact that E((W )2) = Δt for the increment of a Wiener process over an interval of length Δt.

Stratonovich Stochastic Calculus

For a sufficiently smooth transformation U : [0, T ] × RN --> R of the solution Xt of the Stratonovich SDE:

(5)

f or i = 1, ..., N ; j = 1, ..., M

the scalar process Yt = U (Xt, t) satisfies the following Stratonovich SDE:

(6)

where the terms are all evaluated at (Xt, t). In operator form, this is:

The L0 operator of Ito calculus needs to be changed in Stratonovich calculus to:

while the Lj operators of Ito calculus remain unchanged in Stratonovich calculus.

Prof. Klaus Schmitz

PerformanceTrading.it ed il suo contenuto sono di esclusiva proprietà degli autori. E' vietata la riproduzione anche parziale di qualsiasi parte del sito senza autorizzazione, compresa la grafica e il layout. Prima della consultazione del sito leggere il disclaimer nella sezione [info].