This is by far the best book on the subject., September 20, 1996
By A Customer (A. Jaramillo)

I have read most of the books on derivatives and mathematical finance. I have also read the most important papers on the subject, and no book covers the subject so extensively and so carefully. The difficult math is explained by Hull in a brilliantly intuitive way, without sacrificing the mathematical rigor. He explains succinctly and accurately the heart of the most advanced papers in the subject, in unpretentious terms, and always with the reader in mind (unlike most of the other academics' attempt at writing a book.) Having studied the subject in depth, from a practical and a theoretical point of view, I can say, without reservation, that (up to 1996) this book is all you need to learn about the subject. In fact, I dare say that if you read the book cover to cover you will be an expert in the subject. I read the second version, and some of the most recent topics (like Value at Risk) are not treated in it, but it is my understanding that the third edition includes all of these newer developments. If they are explained as all the other subjects in the 2nd edition, then they should be the best explanations around. Excellent book for novices in the subject, excellent reference book for experts, great mathematical education for finance people, and great financial exposition for mathematicians. (From a mathematical point of view, the only details missing are the mathematical foundations of risk-neutral valuation, i.e. Girsanov's theorem) This book should be read (and more importantly CAN be read) by any financial officer, county treasurer (is Orange County listening?), trader, regulator investor and banker. I also recomend this book to unemployed mathematicians, physicists, and engineers. The starting salary for these quantitative disciplines goes up by $30,000 a year after reading that book.

This is the definitive introduction to derivatives. As evidence of its relevance, the following chapters are assigned to Financial Risk Manager (FRM) candidates: Hedging Strategies using Futures (Chapter 3), Determination of Forward and Futures Prices (5), Interest Rate Futures (6), Swaps (7), Properties of Stock Options (9), Trading Strategies Involving Options (10), Binomial Trees (11), Black-Scholes-Merton Model (13), Greeks (15), Volatility Smiles (16), Exotic Options (22).

Given that this is an expensive text, the most frequent question I get is, do I need to buy the latest edition? Perhaps you do not: the updates from fifth to sixth edition, and from sixth to seventh edition, have both been modest "version" upgrades. Here is a rule-of-thumb: the more introductory the topic (i.e., the earlier the chapter), the less likely you want/need the upgrade. The early chapters on futures, hedging, interest rate futures, swaps, and option pricing have barely changed since the fifth edition. Further, from what i can tell, the end-of-chapter questions are largely the same/similar.

In regard to the seventh, in addition to a number of refinements (e.g., some reorganization), the two noticeable differences are: a new chapter on valuation of employee stock option (a particular expertise of Hull's) and more material on certain credit derivatives (CDOs, credit default swap) including a bit more help on Gaussian copula. However, in regard to credit derivatives, in total, Hull gives a quick tour which may be challenging to the new learner. It is maybe not the best place to start for credit derivatives per se.

But, this is the gold standard, a work of art, as far as finance texts go. It may be an introduction but it offers encyclopedic breadth. I've read it several times over, worked most of the problems, taught from it, argued with it, and yet I keep needing to refer to it--Hull is the trusted adviser you call in a crunch, because you know he knows--full mastery is probably still years away.

That's a fantastic book. For people who wants to learn about derivatives and finantial markets it helps a lot. Because the book has a lot of maths I do not recommend it for people who does not have a good math support. Still, I think it is a good buy. If you have any doubt concerning this topic it can always give you an aid.

I was planning to buy this book for a few years.
This is a classical book on Derivatives. A must have for anyone that is interested in learning how derivatives work and how to price them.
It provides good reasoning and intuitive ideas on risk-neutral pricing. I tried learning that from other books before but the main ideas are so well explained here that now I can understand what those other books say (concepts like market price of risk and the equivalent martingale result for change of numeraire). Interest rate derivatives are well introduced here and the new chapter on more numerical procedures extends the results from previous chapters to dynamics with stochastic volatility and so on.
So, this is a must have and basic reading book for any quant analyst.

Even the subject cover by the book. The author masters in explaning it a lot of examples, comprehensive language and a lot of exercises.
I enjoyed the book and started to use it as a course book.

For a book this expensive, you would think there would be solutions to the chapter problems but, beware, there are NOT. You must shell out another $40 to get the solutions manual. The chapters are well-written but how about the poor students?

I started not knowing a "put" from a "call," but I needed to know a fair bit about how financial engineers (coming from a family of PEs, I'm still not used to that term) use math. This has been the introduction I wanted - not the advanced stuff, but enough to help me understand that material.

Methodical pacing leads the reader gradually through the basics, from just what a derivative is on through the brief story of how futures markets work - in short, they abstract buying and selling into buying and selling the right to buy and sell. I tend towards the concrete, so many of these transactions seemed a bit airy to me. Oh, I can follow the reasoning well enough, but I just never saw where the satisfaction of the thing solid and completed comes in. As it turns out, it doesn't. Once you've really got that in the pit of your stomach, then Hull's presentation follows smoothly.

He gradually derives models of increasing complexity. Diligent reader with a little calculus or a lot of trust will follow along easily. Later chapters draw on more advanced concepts in probabilistic modeling, but present the reader with only the aspects needed for the discussion at hand - a mercy, considering the size of the specialized vocabulary involved in the rest of the explanation.

This book ends when the foundation has been built. More advanced needs must be met with other sources - not a problem with this text, just a matter of its chosen scope. I needed that foundation, however, so I recommend this book to anyone with reasonaable math skills and a need to know the material.

-- wiredweird, reviewing the 6th edition