I would argue that Hull's OF&OD easily trumps this one in depth.

Jorion's handbook (or cash-cow) is more of a reference. I have it on my desk right on front of me, same with Hull, Tuckman, Meucci, Mercuri, Brigo and Fusai. The question bank in the FRM handbook is a joke though. Just a bunch of really old, non-sense questions, many of which have errors in the solution!

If you want a book to brush up on your option pricing, explain risk neutral pricing, show you Black-Scholes-Merton parial differential equation, as well as some other good stuff like Ito's lemma then this book is a great and gentle introduction to the mathematics of finance. This guy was my lecturer during my masters so I'm biased. I have not read this newest edition, but I still keep the old one near by. Never seen a better explanation of Ito's lemma and moment generating functions and multi-period self-financing, not even Shreve's two volumes come close! The book is

Mathematical Techniques in Finance: Tools for Incomplete Markets by Ales Cernÿ.

One [of the many] nice things about this book is that it comes complete with Matlab code for the examples in the book

If you want to get a solid grasp of diff equation and stochastic diff eq. useful for finance I strongly recommend

Oksendal's book: Stochastic Differential Equations: An introduction with applications.
As you see I like Springer's books. They tend to be more succinct and quantitative, rather than some texts that ramble on and on for pages about random stuff. Cernÿ's book is not springer though, but it might as well have been.

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