Abstract
Mathematical models for option pricing often result in partial differential equations of parabolic type. The calibration of these models leads to an optimization problem with PDE constraints and usually pointwise observations in the objective function. Thus, the adjoint equation of this problem involves Dirac delta functions and needs a special treatment from a numerical point of view. We show by means of numerical results that also the order of discretizing and optimizing plays an important role.
Support acknowledged by DFG Special Priority Program 1253 ‘Optimization with Partial Differential Equations’.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
Y. Achdou, O. Pironneau, Computational Methods for Option Pricing (SIAM, Philadelphia, 2005)
A. Almendral, C. Oosterlee, Numerical valuation of options with jumps in the underlying. Appl. Numer. Math. 53(1), 1–18 (2005)
L. Andersen, J. Andreasen, Jump-diffusion processes: volatility smile fitting and numerical methods for option pricing. Rev. Deriv. Res. 4(3), 231–262 (2000)
O.E. Barndorff-Nielsen, Processes of normal inverse Gaussian type. Finance Stoch. 2, 41–68 (1997)
D. Bates, Jump and stochastic volatility: exchange rate processes implicit in Deutsche Mark options. Rev. Financ. Stud. 9, 69–107 (1996)
F. Black, M. Scholes, The pricing of options and corporate liabilities. J. Polit. Econ. 81(3), 637–654 (1973)
P. Carr, H. Geman, D. Madan, M. Yor, The fine structure of asset returns: an empirical investigation. J. Bus. 75, 305–332 (2002)
N. Chriss, Black–Scholes and Beyond: Option Pricing Models (Irwin/McGraw Hill, New York, 1997)
R. Cont, P. Tankov, Financial Modelling with Jump Processes (Chapman and Hall, London, 2004)
R. Dautray, J.-L. Lions, Evolution Problems I, Mathematical Analysis and Numerical Methods for Science and Technology, vol. 5 (Springer, Berlin, 1992)
E. Derman, I. Kani, The volatility smile and its implied tree. Risk 7(2), 139–145 (1994)
B. Dupire, Pricing with a smile. Risk 7, 1–10 (1994)
M.B. Giles, R. Carter, Convergence analysis of Crank-Nicolson and Rannacher time-marching. J. Comput. Finance 9(4), 89–112 (2006)
C. Goll, R. Rannacher, W. Wollner, The damped Crank-Nicolson time-marching scheme for the adaptive solution of the Black–Scholes equation. J. Comput. Finance (to appear)
W. Gong, M. Hinze, Z. Zhou, A priori error analysis for finite element approximation of parabolic optimal control problems with pointwise control. Hamburger Beiträge zur Angewandten Mathematik, Preprint 2011-22, 22 pp., 2011
S.L. Heston, A closed-form solution for options with stochastic volatility with applications to bond and currency options. Rev. Financ. Stud. 6, 327–343 (1993)
J.C. Hull, Options, Futures, and Other Derivatives, 7th edn. (Prentice Hall, Upper Saddle River, 2008)
J.C. Hull, A.D. White, The pricing of options on assets with stochastic volatilities. J. Finance 42(2), 281–300 (1987)
J.P. Morgan, Pricing exotics under smile. Risk November, 72–75 (1999)
S.G. Kou, A jump-diffusion model for option pricing. Manag. Sci. 48(8), 1086–1101 (2002)
A. Lipton, The vol smile problem. Risk November, 61–65 (2002)
R.C. Merton, Theory of rational option pricing. Bell J. Econ. Manag. Sci. 4, 141–183 (1973)
R.C. Merton, Option pricing when underlying stock returns are discontinuous. J. Financ. Econ. 3(1–2), 125–144 (1976)
R. Rannacher, Finite element solution of diffusion problems with irregular data. Numer. Math. 43, 309–327 (1984)
E.W. Sachs, M. Schu, Reduced order models in PIDE constrained optimization. Control Cybern. 39, 661–675 (2010)
E.W. Sachs, M. Schu, A priori error estimates for reduced order models in finance. Math. Model. Numer. Anal. 47, 449–469 (2013)
E.W. Sachs, A.K. Strauss, Efficient solution of a partial integro-differential equation in finance. Appl. Numer. Math. 58, 1687–1703 (2008)
W. Schoutens, Lévy-Processes in Finance (Wiley, Chichester, 2003)
L.R. Scott, Finite element convergence for singular data. Numer. Math. 21(4), 317–327 (1973)
E.M. Stein, J.C. Stein, Stock price distributions with stochastic volatility: an analytic approach. Rev. Financ. Stud. 4(4), 727–752 (1991)
P. Wilmott, J. Dewynne, J. Howison, Option Pricing: Mathematical Models and Computation (Oxford Financial Press, Oxford, 1993)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer Basel
About this chapter
Cite this chapter
Sachs, E.W., Schu, M. (2013). Gradient Computation for Model Calibration with Pointwise Observations. In: Bredies, K., Clason, C., Kunisch, K., von Winckel, G. (eds) Control and Optimization with PDE Constraints. International Series of Numerical Mathematics, vol 164. Birkhäuser, Basel. https://doi.org/10.1007/978-3-0348-0631-2_7
Download citation
DOI: https://doi.org/10.1007/978-3-0348-0631-2_7
Published:
Publisher Name: Birkhäuser, Basel
Print ISBN: 978-3-0348-0630-5
Online ISBN: 978-3-0348-0631-2
eBook Packages: Mathematics and StatisticsMathematics and Statistics (R0)