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Pricing Financial Instruments: The Finite Difference Method

TLDR
The Pricing Equations. as mentioned in this paper and the Finite-difference method are the most commonly used methods for finite difference methods in the literature, and they can be found in:
Abstract
The Pricing Equations. Analysis of Finite Difference Methods. Special Issues. Coordinate Transformations. Numerical Examples. Index.

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Computing stable numerical solutions for multidimensional American option pricing problems: a semi-discretization approach

TL;DR: In this article, the stability of the numerical solution of a multi-asset American option pricing problem is analyzed for the first time and sufficient stability conditions on step sizes, that also guarantee positivity and boundedness of the solution, are found.
DissertationDOI

Finite Difference Methods for nonlinear American Option Pricing models: Numerical Analysis and Computing

Vera Egorova
TL;DR: In this paper, numerical analysis and computing of finite difference schemes for several relevant option pricing models that generalize the Black-Scholes model are provided. And a careful analysis of desirable properties for the numerical solutions of option pricing model such as positivity, stability and consistency are provided, in order to handle the free boundary that arises in American option pricing problems.
Journal ArticleDOI

Variable time-stepping hybrid finite difference methods for pricing binary options

TL;DR: Numerical experiments for standard European vanilla, bi-nary, and American options show that both Type I and II variable timestep methods are much more e ARTICLEcient than the fully implicit method orhybrid methods with uniform time steps.
DissertationDOI

On accurate and efficient valuation of financial contracts under models with jumps

TL;DR: A new numerical method is derived for the classical problem of pricing vanilla options quickly in time-changed Brownian motion models based on rational function approximations of the Black-Scholes formula, which is able to work out implied volatilities more efficiently than is possible using other common methods.
Journal ArticleDOI

An adjoint method for the exact calibration of stochastic local volatility models

TL;DR: In this paper, an adjoint semidiscretization of the corresponding forward Kolmogorov equation is used to obtain an expression for the leverage function in the pertinent SLV model such that the approximated fair values defined by the SLV and SLV models are identical for non-path-dependent European-style options.