  We present a novel technique of Monte Carlo error reduction that finds direct
application in option pricing and Greeks estimation. The method is applicable
to any LSV modelling framework and concerns a broad class of payoffs, including
path-dependent and multi-asset cases. Most importantly, it allows to reduce the
Monte Carlo error even by an order of magnitude, which is shown in several
numerical examples.
