Variance reduction for simulated diffusions using control variates extracted from state space evaluations Original Research Article

We develop a method for reducing variance in Monte Carlo simulation of expected terminal payoff for diffusions. The algorithm works by extracting a control variate from the simulated path, using an approximate solution to the boundary value problem in question. The algorithm is applied successfully to an example problem.