Abstract: An apparatus for estimating a yield of a financial product, as well as to a corresponding method and a corresponding computer program product. The present disclosure can be loosely summarized, in one aspect, as teaching a method of pricing a financial product under a number of potential future scenarios wherein, instead of carrying out a separate (and perhaps nested) Monte Carlo simulation for each scenario under consideration, a smoothing function is generated from the results of a proportionately small number of representative (nested) simulations and the pricing is estimated at each scenario using the smoothing function. Each Monte Carlo simulation simulates the yield of the financial product under the conditions of the specific scenario. Accordingly, the smoothing function represents the (simulation) yield of the financial product as a function of the scenario parameters.