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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

References

[1] Bera, Anil K. and Higgins, Matthew L., (1998). "A Survey of Arch Models: Properties, Estimation and Testing". Risk Books, Volatility, June−98, 23-59.

[2] Björk, Thomas, (1998). "Arbitrage Theory in Continuous Time". Oxford University Press Inc., New York.

[3] Dupire, Bruno, (1994). "Pricing with a Smile". Risk Magazine, 7, 18-20.

[4] Elder, John, (2002). "Hedging for Financial Derivatives". University of Oxford, Ph.D. Thesis.

[5] Ghomrasni, Raouf, (2003). "On Distributions Associated with the Generalized Lévy’s Stochastic Area Formula". University of Aarhus, Centre for Mathematical Physics and Stochastics (MaPhySto) [MPS]; RR 2003/4.

[6] Heston, Steven L., (1993). "A Closed-Form Solution for Options with Stochastic Volatility with Applications to Bond and Currency Options". The Review of Financial Studies, Volume 6, Issue 2, 327-343.

[7] Hull, John, (1993). "Options, Futures, and other Derivation Securities". Prentice Hall, Inc.

[8] Kloeden, Peter E. and Platen, Eckhard, (1999). "Numerical Solution of Stochastic Differential Equations". Springer.

[9] Kloeden, Peter E., (2002). "The Systematic Derivation of Higher Order Numerical Schemes for Stochastic Differential Equations". Milan Journal of Mathematics.

[10] Lévy, P., (1950). "Wiener’s Random Function, and other Laplacian Random Functions". Proceedings of the Second Berkeley Symposium on Mathematical Statistics and Probability, 171-187.

[11] Lewis, Alan L., (2000). "Option Valuation under Stochastic Volatility: with Mathematica Code". Finance Press.

[12] Schmitz, Klaus, (2004). "Introduction to Implied, Local and Stochastic Volatility". http://www.maths.ox.ac.uk/~schmitz/project1.htm

[13] Schmitz, Klaus, (2004). "Strong Taylor Schemes for Stochastic Volatility". http://www.maths.ox.ac.uk/~schmitz/project2.htm

[14] Shaw, William, (2000). "Instability of Implied Volatility, Fictitious Skews and Smiles and Hazards of Exotics". AIP Conference Proceedings, Vol. 553, 309-314.

[15] Shaw, William, (1999). "Modelling Financial Derivatives with Mathematica". Cambridge University Press.

[16] Shaw, William, (2003). "Stochastic Volatility, Models of Heston Type". University of Oxford, Course Notes.

[17] Wilmott, Paul, Howison, Sam and Dewynne, Jeff, (1995). "The Mathematics of Financial Derivatives". Cambridge University Press.

[18] Wilmott, Paul, (1998). "Derivatives: The Theory and Practice of Financial Engineering". John Wiley and Sons.

Prof. Klaus Schmitz

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