An introduction to the basic theory of stochastic calculus and its applications. Examples are given throughout the text, in order to motivate and illustrate the theory and show its importance for many applications in e.g. economics, biology and physics. The basic idea of the presentation is to start from some basic results (without proofs) of the easier cases and develop the theory from there, and to concentrate on the proofs of the easier case in order to quickly progress to the parts of the theory that are most important for the applications. For the 6th edition the author has added further exercises and, for the first time, solutions to many of the exercises are provided.
This book is the 'principal' text used by, ahem, everyone in graduate courses that relate to stochastic calculus. It is certainly not a simple text, and requires background knowledge in the areas of (at least) probability/statistics and measure theory, too. It is well structured, very readable, and is an excellent second book after reading something more rudimentary, such as Brownian Motion Calculus.
It's a very well written book, but to appreciate this book, one still need a good understanding of graduate level probability knowledge, such as martingale, stopping time.
I took out of 1 star after i read this book up to ch10 twice. It's probably a personal reason: the author really leads me to that far in this book, but when i looked back i didn't feel much left in my head...weird?