This extensive and up-to-date text demonstrates the relevance of
Malliavin calculus for Mathematical Finance. It starts with an
exposition from scratch of this theory. Greeks (price sensitivities) are
reinterpreted in terms of Malliavin calculus. Integration by parts
formulae provide stable Monte Carlo schemes for numerical valuation of
digital options. Finite-dimensional projections of infinite-dimensional
Sobolev spaces lead to Monte Carlo computations of conditional
expectations useful for computing American options. Insider information
is expressed as an infinite-dimensional drift. The last chapter gives an
introduction to the same objects in the context of jump processes where
incomplete markets appear.