Fast and Reliable Pricing of American Options with Local Volatility

Abstract

We present globally convergent multigrid methods for the nonsymmetric obstacle problems as arising from the discretization of Black-Scholes models of American options with local volatilities and discrete data. No tuning or regularization parameters occur. Our approach relies on symmetrization by transformation and data recovery by superconvergence.