Using an intuitive, systematic approach to the material, this text introduces the mathematics underlying the pricing of derivatives. The interest in dynamic pricing models is increasing due to their applicability topractical situations. With the freeing of exchange, interest rates, and capital controls, the markets for derivative products has matured, and pricing models have become more accurate. An Introduction to the Mathematics of Financial Derivatives fills the need for a resource targeting professionals, Ph.D. students and advanced MBA students who are specifically interested in these financial products.
It's hard to think of a worse introduction to stochastic calculus than this. The exposition is illogical, disorganized and thoroughly unclear. The equations are full of errors (the available errata for the book runs to many pages) and the author uses symbols and formulas inconsistently, even within the same proof. The exercises seem to have been designed separately from the chapters and are of little value. I guess this is supposed to be a slow and gentle introduction but it just ends up a confusing, repetitive mess.
I can understand the appeal for this book. Coming from an MBA background, I needed an accessible introduction. I would argue the first 10 chapters of this book are fantastic! After that the author seems to skim over some details. I got an intuition behind the mathematics indeed, but was not able to solve the exercises easily!
The main issue with this approach to mathematics is that, you understand conceptually but applying it to problems is tricky. For that, you need more rigorous books.
I think this book can be a good stepping stone to more complex books like Shreve.