The forward Kolmogorov equation for two dimensional options
Author(s) -
Antoine Conze,
Nicolas Lantos,
Olivier Pironneau
Publication year - 2008
Publication title -
communications on pure andamp applied analysis
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.077
H-Index - 42
eISSN - 1553-5258
pISSN - 1534-0392
DOI - 10.3934/cpaa.2009.8.195
Subject(s) - local volatility , mathematics , partial differential equation , valuation of options , kolmogorov equations (markov jump process) , stochastic volatility , mathematical optimization , volatility (finance) , econometrics , differential equation , mathematical analysis , ordinary differential equation , differential algebraic equation
Pricing options on multiple underlying or on an underlying modeled with stochastic volatility may involve solving multi-dimensional Black- Scholes like partial dierential equations (PDE). Computing several such options at once for various moneyness levels can be a numerical challenge. We investigate here the Kolmogorov equation and Dupire or \pre-Dupire" equations to solve the problem faster and we validate the approach numerically. The heart of the method is to use the adjoint of the PDE of the option at the discrete level and to use discrete duality identities to obtain Dupire-like relations. The method works on most linear models. Numerical results are given for a European call option on a basket of two assets.
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