2017
DOI: 10.12988/ces.2017.7760
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Solution of nonlinear equation representing a generalization of the Black-Scholes model using ADM

Abstract: In this work the Adomian decomposition method (ADM) is used to solve the non-linear equation that represents the generalized model of Black-Scholes, that is to say that considers the volatility as a nonconstant function. The efficiency of this method is illustrated by investigating the convergence results for this type of models. The numerical results show the reliability and accuracy of the ADM.

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Cited by 5 publications
(5 citation statements)
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“…Where H(DV ) is the Hamiltonian associated with the Black-Scholes differential equation. From 7and (8) we have V t + H(DV ) = 0,…”
Section: Some Relations Between Hamilton-jacobi and The Black-scholesmentioning
confidence: 99%
See 1 more Smart Citation
“…Where H(DV ) is the Hamiltonian associated with the Black-Scholes differential equation. From 7and (8) we have V t + H(DV ) = 0,…”
Section: Some Relations Between Hamilton-jacobi and The Black-scholesmentioning
confidence: 99%
“…Where V = f (S, t) is the value of a call option, S represents the price of the underlying asset, r the risk-free rate, σ the volatility of the asset price, E the strike and T the maturation time of the option. The solution of this problem is classical when the volatility is a constant and can be obtained from the heat equation and appears related in (13), and when a volatility is no-constant in [8].…”
mentioning
confidence: 99%
“…These difficulties have led, in the past decade, to the formulation of innovative methodologies to obtain the required solutions, avoiding discretization and linearization, such as the Adomian Decomposition Method [37][38][39][40][41], homotopy perturbation method [42], He's variational iteration method [43], the homotopy analysis method [44], the Galerkin method [45], and the collocation method [46]. Among these, the Adomian Decomposition Method (ADM), a semi-analytical method, acquired a prestigious position due to its effective and simple procedures for obtaining numerical solutions, still maintaining high accuracy solutions of a wide class of partial differential equations, linear or nonlinear, homogeneous or inhomogeneous, with constant coefficients or with variable coefficients, both integer and fractional [47,48].…”
Section: Introductionmentioning
confidence: 99%
“…Its rigorous asymptotic analysis was carried our in [7,8]. For a broad class of other relevant transport equations we refer to [6,12,15,22], to [13] for stochastic systems, and to [17,25] for variational principles.…”
Section: Introductionmentioning
confidence: 99%