A finite?difference method for integro?differential equations arising from Lévy driven asset processes in finance is discussed. The equations are discretized in space by the collocation method and in time by an explicit backward differentiation formula. The discretization is shown to be second?order accurate for a relevant parameter range determining the degree of the singularity in the Lévy measure. The singularity is dealt with by means of an integration by parts technique. An application of the fast Fourier transform gives the overall amount of work $O(N_t N\log N)$, rendering the method fast
Differentiation matrices provide a compact and unified formulation for a variety of differential equ...
The finite difference method is a mathematical construct that can be used to solve partial different...
When underlying financial variables follow a Markov jump-diffusion process, the value function of a ...
A finite?difference method for integro?differential equations arising from Lévy driven asset process...
We develop an implicit discretization method for pricing European and American options when the unde...
Numerical methods are developed for pricing European and American options under Kou’s jump-diffusion...
Copyright © 2013 R. Company et al. This is an open access article distributed under the Creative Com...
ABSTRACT American options are considered in a market where the underlying asset follows a Variance G...
This paper deals with the numerical analysis of PIDE option pricing models with CGMY process using d...
This paper describes a fast, flexible numerical technique to price American options and generate the...
Stock options are priced numerically using space- and time-adaptive finite difference methods. Europ...
AbstractA compact finite difference method is designed to obtain quick and accurate solutions to par...
In this paper, we consider the analytical pricing of European path-independent options under the CGM...
Accurate and efficient numerical solutions have been described for a selection of financial options ...
summary:The paper presents a discontinuous Galerkin method for solving partial integro-differential ...
Differentiation matrices provide a compact and unified formulation for a variety of differential equ...
The finite difference method is a mathematical construct that can be used to solve partial different...
When underlying financial variables follow a Markov jump-diffusion process, the value function of a ...
A finite?difference method for integro?differential equations arising from Lévy driven asset process...
We develop an implicit discretization method for pricing European and American options when the unde...
Numerical methods are developed for pricing European and American options under Kou’s jump-diffusion...
Copyright © 2013 R. Company et al. This is an open access article distributed under the Creative Com...
ABSTRACT American options are considered in a market where the underlying asset follows a Variance G...
This paper deals with the numerical analysis of PIDE option pricing models with CGMY process using d...
This paper describes a fast, flexible numerical technique to price American options and generate the...
Stock options are priced numerically using space- and time-adaptive finite difference methods. Europ...
AbstractA compact finite difference method is designed to obtain quick and accurate solutions to par...
In this paper, we consider the analytical pricing of European path-independent options under the CGM...
Accurate and efficient numerical solutions have been described for a selection of financial options ...
summary:The paper presents a discontinuous Galerkin method for solving partial integro-differential ...
Differentiation matrices provide a compact and unified formulation for a variety of differential equ...
The finite difference method is a mathematical construct that can be used to solve partial different...
When underlying financial variables follow a Markov jump-diffusion process, the value function of a ...