SIAM Journal on Scientific and Statistical Computing
Penalty methods for American options with stochastic volatility
Journal of Computational and Applied Mathematics
On the use of boundary conditions for variational formulations arising in financial mathematics
Applied Mathematics and Computation
Quadratic Convergence for Valuing American Options Using a Penalty Method
SIAM Journal on Scientific Computing
On the Approximation of Optimal Stopping Problems with Application to Financial Mathematics
SIAM Journal on Scientific Computing
Far Field Boundary Conditions for Black--Scholes Equations
SIAM Journal on Numerical Analysis
A penalty method for American options with jump diffusion processes
Numerische Mathematik
Stabilized explicit Runge-Kutta methods for multi-asset American options
Computers & Mathematics with Applications
Hi-index | 7.29 |
We derive and analyze a penalty method for solving American multi-asset option problems. A small, non-linear penalty term is added to the Black-Scholes equation. This approach gives a fixed solution domain, removing the free and moving boundary imposed by the early exercise feature of the contract. Explicit, implicit and semi-implicit finite difference schemes are derived, and in the case of independent assets, we prove that the approximate option prices satisfy some basic properties of the American option problem. Several numerical experiments are carried out in order to investigate the performance of the schemes. We give examples indicating that our results are sharp. Finally, the experiments indicate that in the case of correlated underlying assets, the same properties are valid as in the independent case.