Understanding and working with the current models of financial markets
requires a sound knowledge of the mathematical tools and ideas from
which they are built. Banks and financial houses all over the world
recognize this and are avidly recruiting mathematicians, physicists, and
other scientists with these skills. The mathematics involved in modern
finance springs from the heart of probability and analysis, for example:
the It calculus, stochastic control, differential equations, and
martingales. The authors give rigorous treatments of these topics, while
always keeping the applications in mind. Thus, the way in which the
mathematics is developed is governed by the way it will be used, rather
than by the goal of optimal generality. Indeed, most of purely
mathematical topics are treated in extended excursions from the
applications into the theory. Thus, with the main topic of financial
modelling and optimization in view, the reader also obtains a
self-contained and complete introduction to the underlying mathematics.
This book is specifically designed as a graduate textbook.