Hdp
A numerical library for High-Dimensional option Pricing problems, including Fourier transform methods, Monte Carlo methods and the Deep Galerkin method
Install / Use
/learn @ZewenShen/HdpREADME
hdp
A numerical library for High-Dimensional option Pricing problems.
Included Algorithms
deep Galerkin method (~/src/blackscholes/dgm)
N-d Black Scholes equation solver; 1-d American option PDE solver
Fourier transform methods (~/src/blackscholes/fft)
Carr & Madan algorithm; N-d Conv method
Monte Carlo methods (~/src/blackscholes/mc)
N-d antithetic variates; N-d control variates; N-d Sobol sequence; 1-d importance sampling; N-d Least square Monte Carlo
PDE (~/src/blackscholes/pde)
1-d parabolic PDE solver with Dirichlet boundary condition; 1-d American option PDE solver (PSOR / penalty method); 2-d parabolic PDE solver with Dirichlet boundary condition on a rectangle domain (untested)
Micellaneous (~/src/utils, ~/src/blackscholes/utils)
The analytical solution to 1-d European option and N-d geometric average payoff European option; Helper functions for conducting numerical experiments
Reference
Z. Shen, Numerical Methods for High-Dimensional Option Pricing Problems
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