A radial basis function -- Hermite finite difference approach to tackle cash-or-nothing and asset-or-nothing options
DOI10.1016/j.cam.2019.112523zbMath1437.91458OpenAlexW2979700076MaRDI QIDQ2291997
Emran Tohidi, Yin Yang, Fazlollah Soleymani, Mahdiar Barfeie
Publication date: 31 January 2020
Published in: Journal of Computational and Applied Mathematics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.cam.2019.112523
Numerical methods (including Monte Carlo methods) (91G60) Derivative securities (option pricing, hedging, etc.) (91G20) Approximation by polynomials (41A10) Method of lines for initial value and initial-boundary value problems involving PDEs (65M20)
Related Items (5)
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- A robust and accurate finite difference method for a generalized Black-Scholes equation
- On using radial basis functions in a ``finite difference mode with applications to elasticity problems
- Jacobi spectral Galerkin methods for fractional integro-differential equations
- Revisiting generalized FEM: a Petrov-Galerkin enrichment based FEM interpolation for Helmholtz problem
- Radial basis function generated finite differences for option pricing problems
- A meshless discrete collocation method for the numerical solution of singular-logarithmic boundary integral equations utilizing radial basis functions
- Numerical solutions for solving time fractional Fokker-Planck equations based on spectral collocation methods
- Illustrating finance policy with Mathematica
- Using pseudo-parabolic and fractional equations for option pricing in jump diffusion models
- The Kolmogorov forward fractional partial differential equation for the CGMY-process with applications in option pricing
- On a positivity preserving numerical scheme for jump-extended CIR process: the alpha-stable case
- Convergence of a finite volume element method for a generalized Black-Scholes equation transformed on finite interval
- Gaussian RBF-FD weights and its corresponding local truncation errors
- Einige abstrakte Begriffe in der numerischen Mathematik (Anwendungen der Halbordnung).(Some abstract notions in the numerical mathematic. (Applications et semiorder))
- A course in derivative securities. Introduction to theory and computation.
- Scattered node compact finite difference-type formulas generated from radial basis functions
- BENCHOP – The BENCHmarking project in option pricing
- Pricing Derivatives Under Lévy Models
- Introduction to Quantitative Methods for Financial Markets
- Explicit Time-Stepping for Stiff ODEs
- Analysis of Quantization Error in Financial Pricing via Finite Difference Methods
- Partial Differential Equation Pricing of Contingent Claims under Stochastic Correlation
- Ordinary Differential Equations for Engineers
- Numerical Solution of Ordinary Differential Equations
- BENCHOP – SLV: the BENCHmarking project in Option Pricing – Stochastic and Local Volatility problems
- Efficient hedging in general Black-Scholes model
- A Radial Basis Function (RBF) Compact Finite Difference (FD) Scheme for Reaction-Diffusion Equations on Surfaces
- Tridiagonal Toeplitz matrices: properties and novel applications
- An Explicit Sixth-Order Runge-Kutta Formula
- The Minimal Entropy Martingale Measure and the Valuation Problem in Incomplete Markets
This page was built for publication: A radial basis function -- Hermite finite difference approach to tackle cash-or-nothing and asset-or-nothing options