Monte Carlo Simulation and Conditional Monte Carlo

Abstract: 

Monte Carlo simulation can be viewed as a vehicle for performing computer experiments with randomness in problems that are too complex or too difficult to allow for theoretical calculations. We give here a survey with particular emphasis on applications to finance and insurance, concluding with a more detailed study of the conditional Monte Carlo method. Essentially this is a set of ideas of how to improve on Monte Carlo by involving features that can be calculated.