2011
DOI: 10.1007/s10915-011-9556-5
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A New Spectral Element Method for Pricing European Options Under the Black–Scholes and Merton Jump Diffusion Models

Abstract: We present a new spectral element method for solving partial integro-differential equations for pricing European options under the Black-Scholes and Merton jump diffusion models. Our main contributions are: (i) using an optimal set of orthogonal polynomial bases to yield banded linear systems and to achieve spectral accuracy; (ii) using Laguerre functions for the approximations on the semi-infinite domain, to avoid the domain truncation; and (iii) deriving a rigorous proof of stability for the time discretizat… Show more

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Cited by 21 publications
(4 citation statements)
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References 41 publications
(42 reference statements)
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“…Among the semi‐analytical techniques, one could mention the quadratic approximation method of Barone‐Adesi and Whaley, two‐point and three‐point maximum methods of Bunch and Johnson and the lower and upper bound approximation methods of Broadie and Detemple . From a numerical discretization point of view, the finite difference, finite element, and spectral methods could also be mentioned.…”
Section: Kim's Integral Equation Representationmentioning
confidence: 99%
“…Among the semi‐analytical techniques, one could mention the quadratic approximation method of Barone‐Adesi and Whaley, two‐point and three‐point maximum methods of Bunch and Johnson and the lower and upper bound approximation methods of Broadie and Detemple . From a numerical discretization point of view, the finite difference, finite element, and spectral methods could also be mentioned.…”
Section: Kim's Integral Equation Representationmentioning
confidence: 99%
“…In [3] the authors added the time derivative ∂w ∂t to conveniently describe the motion time and thus to distinguish the status of particles. γ is the reaction coefficient while f = f (x, t) denotes the source term, w 0 is the initial condition, g represents the boundary conditions whereas cD λ 0t w, for 0 < λ < 1, is the Caputo fractional derivative of order λ defined in [5] by…”
Section: Introductionmentioning
confidence: 99%
“…In Reference 32 the authors added the time derivative wt$$ \frac{\partial w}{\partial t} $$ to conveniently describe the motion time and thus to distinguish the status of particles. γ$$ \gamma $$ is the reaction coefficient while f=ffalse(x,y,tfalse)$$ f=f\left(x,y,t\right) $$ denotes the source term, w0$$ {w}_0 $$ is the initial condition, g$$ g $$ represents the boundary conditions whereas cD0tλw$$ c{D}_{0t}^{\lambda }w $$, for 0<λ<1$$ 0<\lambda <1 $$, is the Caputo fractional derivative of order λ$$ \lambda $$ defined in Reference 33 by cD0tλwfalse(tfalse)=1normalΓfalse(1prefix−λfalse)0twτfalse(τfalse)false(tprefix−τfalse)λdτ.$$ {}_c{D}_{0t}^{\lambda }w(t)=\frac{1}{\Gamma \left(1-\lambda \right)}{\int}_0^t\frac{w_{\tau}\left(\tau \right)}{{\left(t-\tau \right)}^{\lambda }} d\tau . $$ Under a suitable time step restriction, the proposed algorithm is stable, convergent with order Ofalse(k2prefix−λ2+h<...…”
Section: Introductionmentioning
confidence: 99%
“…Mohan and Chakraverty 30 proposed the iterative method for solving fractional Black–Scholes equations. Chen et al 31 improved the spectral element method to approach Black–Scholes equations.…”
Section: Introductionmentioning
confidence: 99%