Usage of Monte Carlo simulation for pricing requires a well defined and accurate market implied distribution of risk factors. Overlay, on top of these simulated risk factors, one can also generate conditional prices based on the set of underlying risk factors at future time horizons. The ability...

The bootstrap of test statistics requires the re-estimation of the model's parameters for each bootstrap sample. When parameter estimates are not available in closed form, this procedure becomes computationally demanding as each replication requires the numerical optimization of an objective...