This paper seeks to identify computationally efficient importance sampling (IS) algorithms for estimating large … importance sampling to estimate large deviation probabilities in those models. Numerical evidence indicates that the proposed …

In Monte Carlo simulation, Latin hypercube sampling (LHS) [McKay et al. (1979)] is a well-known variance reduction … technique for vectors of independent random variables. The method presented here, Latin hypercube sampling with dependence (LHSD …

We present an application of importance sampling in a Monte Carlo simulation for multi-asset options and in a Multi …-Level Monte Carlo simulation. We demonstrate that applying importance sampling only on the first level of the Multi-Level Monte …. Moreover, we combine it with the importance sampling to reduce the variance of the Greeks. Finally, we study the impact of the …