A numerical study of Asian option with radial basis functions based finite differences method
From MaRDI portal
Publication:1653560
DOI10.1016/j.enganabound.2014.07.003zbMath1403.91373OpenAlexW1974518415MaRDI QIDQ1653560
Alpesh Kumar, Lok Pati Tripathi, Mohan K. Kadalbajoo
Publication date: 6 August 2018
Published in: Engineering Analysis with Boundary Elements (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.enganabound.2014.07.003
Numerical methods (including Monte Carlo methods) (91G60) Finite difference methods for initial value and initial-boundary value problems involving PDEs (65M06) Derivative securities (option pricing, hedging, etc.) (91G20)
Related Items (16)
Efficient Spectral-Galerkin Method for Pricing Asian Options ⋮ A Gaussian radial basis function-finite difference technique to simulate the HCIR equation ⋮ A radial basis functions based finite differences method for wave equation with an integral condition ⋮ A robust numerical technique and its analysis for computing the price of an Asian option ⋮ RBF-FD schemes for option valuation under models with price-dependent and stochastic volatility ⋮ A trustable shape parameter in the kernel-based collocation method with application to pricing financial options ⋮ High-order compact finite difference scheme for pricing Asian option with moving boundary condition ⋮ High-order Gaussian RBF-FD methods for real estate index derivatives with stochastic volatility ⋮ A fourth order numerical method based on B-spline functions for pricing Asian options ⋮ Stabilized finite element approximation of the Swift-Hohenberg model on evolving surfaces ⋮ Radial basis function generated finite differences for option pricing problems ⋮ An efficient numerical method based on redefined cubic B-spline basis functions for pricing Asian options ⋮ An efficient numerical method for pricing option under jump diffusion model ⋮ A numerical study of Asian option with high-order compact finite difference scheme ⋮ Pricing European passport option with radial basis function ⋮ A meshless method for Asian style options pricing under the Merton jump-diffusion model
Cites Work
- The solitary wave solution of coupled Klein-Gordon-Zakharov equations via two different numerical methods
- A reliable numerical method to price arithmetic Asian options
- The shape parameter in the Gaussian function
- A method for solving partial differential equations via radial basis functions: application to the heat equation
- Multiquadric and its shape parameter -- a numerical investigation of error estimate, condition number, and round-off error by arbitrary precision computation
- A not-a-knot meshless method using radial basis functions and predictor-corrector scheme to the numerical solution of improved Boussinesq equation
- On the solution of the non-local parabolic partial differential equations via radial basis functions
- Small dimension PDE for discrete Asian options
- Multi-dimensional option pricing using radial basis functions and the generalized Fourier transform
- A numerical method for solution of the two-dimensional sine-Gordon equation using the radial basis functions
- Some observations regarding interpolants in the limit of flat radial basis functions
- A quasi-radial basis functions method for American options pricing.
- Stable computation of multiquadric interpolants for all values of the shape parameter
- Numerical solution of the system of second-order boundary value problems using the local radial basis functions based differential quadrature collocation method
- On the use of boundary conditions for variational formulations arising in financial mathematics.
- Radial basis functions with application to finance: American put option under jump diffusion
- Accurate pricing formulas for Asian options
- A convergent quadratic-time lattice algorithm for pricing European-style Asian options
- Numerical solution of the nonlinear Klein-Gordon equation using radial basis functions
- Solution of two-dimensional modified anomalous fractional sub-diffusion equation via radial basis functions (RBF) meshless method
- The shape parameter in the Gaussian function. II
- The shape parameter in the shifted surface spline. III.
- Scattered node compact finite difference-type formulas generated from radial basis functions
- A Meshless Method Using Radial Basis Functions for the Numerical Solution of Two-Dimensional Complex Ginzburg-Landau Equation
- BESSEL PROCESSES, ASIAN OPTIONS, AND PERPETUITIES
- The Mathematics of Financial Derivatives
- The value of an Asian option
This page was built for publication: A numerical study of Asian option with radial basis functions based finite differences method