Monte Carlo Variance Reduction. Importance Sampling Techniques

Abstract

In this paper we investigate some Importance Sampling strategies and we apply them for the first time to the pricing of the spread options. We compare the Least Squares method to the f-divergence method in order to choose the importance sampling functions. Our numerical results reveals that the use of the divergences is frequently less computationally and time costly.