This book offers an introduction to the mathematical, probabilistic and
numerical methods used in the modern theory of option pricing. The text
is designed for readers with a basic mathematical background. The first
part contains a presentation of the arbitrage theory in discrete time.
In the second part, the theories of stochastic calculus and parabolic
PDEs are developed in detail and the classical arbitrage theory is
analyzed in a Markovian setting by means of of PDEs techniques. After
the martingale representation theorems and the Girsanov theory have been
presented, arbitrage pricing is revisited in the martingale theory
optics. General tools from PDE and martingale theories are also used in
the analysis of volatility modeling. The book also contains an
Introduction to Lévy processes and Malliavin calculus. The last part is
devoted to the description of the numerical methods used in option
pricing: Monte Carlo, binomial trees, finite differences and Fourier
transform.