Product Description

Designed to bridge the gap between theory and practice, this successful book is regarded as "the bible" in trading rooms throughout the world. The books covers both derivatives markets and risk management, including credit risk and credit derivatives; forward, futures, and swaps; insurance, weather, and energy derivatives; and more. For options traders, options analysts, risk managers, swaps traders, financial engineers, and corporate treasurers.

Product Details

• Amazon Sales Rank: #66774 in Books
• Published on: 2005-06-20
• Original language: English
• Number of items: 1
• Binding: Hardcover
• 816 pages

Review
featured in 5 of the best - Quality World November 2006

From the Publisher
Widely-adopted for its comprehensive coverage, exceptionally clear explanations of difficult material, and avoidance of nonessential math, this text bridges the gap between the theory and practice of derivatives, and helps students develop a solid working knowledge of how derivatives can be analyzed. It deals with a wide range of derivative products and provides complete coverage of key analytical material.

From the Inside Flap
Preface

This book is appropriate for graduate and advanced undergraduate elective courses in business, economics, and financial engineering. It is also suitable for practitioners who want to acquire a working knowledge of how derivatives can be analyzed.

One of the key decisions that must be made by an author who is writing in the area of derivatives concerns the use of mathematics. If the level of mathematical sophistication is too high, the material is likely to be inaccessible to many students and practitioners. If it is too low, some important issues will inevitably be treated in a rather superficial way. In this book, great care has been taken in the use of mathematics. Nonessential mathematical material has been either eliminated or included in end-of-chapter appendices. Concepts that are likely to be new to many readers have been explained carefully, and many numerical examples have been included.

This book provides a unifying approach to the valuation of all derivatives - not just futures and options. The book assumes that the reader has taken an introductory course in finance and an introductory course in probability and statistics. No prior knowledge of options, futures contracts, swaps, and so on is assumed. It is not therefore necessary for students to take an elective course in investments prior to taking a course based on this book. Changes in This Edition

This edition contains more material than the third edition. The material in the third edition has been updated and its presentation has been improved in a number of places. The major changes include:

1. A new chapter (chapter 14) has been included on value at risk.
2. A new chapter (chapter 15) has been included on estimating volatilities and correlations. GARCH models are covered in much more detail than in the third edition.
3. Chapter 19 contains much new material and explains the role played by martingales and measures in the valuation of derivatives.
4. Chapter 20 on the standard market models for valuing interest rate derivatives has been revised. It now uses the material in chapter 19 to provide a more complete discussion of the models for valuing bond options, caps, and swap options.
5. There are now two chapters on equilibrium and no-arbitrage models of the term structure (chapters 21 and 22). Chapter 21 covers equilibrium models and one-factor no-arbitrage models of the short rate. Chapter 22 covers two-factor models of the short rate, the HIM model, and the LIBOR market (BGM) model.
6. Chapter 4 on Interest Rates and Duration has been rewritten to make the material clearer and more relevant.
7. Chapter 23 on Credit Risk has been rewritten to reflect developments in this important area.
8. More material has been added on volatility smiles and volatility skews (chapter 17).
9. The sequencing of the material has been changed slightly. Volatility smiles and alternatives to Black-Scholes now appear before the chapter on exotic options, which in turn appears before the material on interest rate derivatives.
10. The notation has been improved and simplified. So and Fo are used to denote the asset price and the forward price today (that is, at time zero) and the cumbersome "T - t" no longer appears in most parts of the book.
11. A glossary of terms has been included.
12. Many new problems and questions have been added. Software

New Excel-based software, DerivaGem, is included with the book. This software is a big improvement over the software included with previous editions. It has been carefully designed to complement the material in the text. Users can calculate options prices, imply volatilities, and calculate Greek letters for European options, American options, exotic options, and interest rate derivatives. Interest rate derivatives can be valued either using Black's model or a no-arbitrage model. The software can be used to display binomial trees (see for example Figure 16.3 and Figure 21.11) and provide many different charts showing the impact of different variables on either option prices or the Greek letters.

The software is described more fully at the end of the book. Updates to the software can be downloaded from my Web site (mgmt.utoronto.ca/-hull). Slides

Several hundred PowerPoint slides can be downloaded from my Web site. The slides now use only standard fonts. Instructors can adapt the slides to meet their own needs. Answers to Questions

Solutions to the end-of-chapter problems in the first three editions were available only in the Instructor's Manual. Over the years many people have asked me to make the solutions more generally available. I have hesitated to do this because it would prevent instructors from using the problems as assignment questions.

In this edition I have dealt with this issue by dividing the end-of-chapter problems into two groups: "Questions and Problems" and "Assignment Questions". There are over 450 Questions and Problems and solutions to these are in a book Options, Futures, & Other Derivatives: Solutions Manual, which is published by Prentice Hall. There are about 80 Assignment Questions. Solutions to these are available only in the Instructor's Manual.

Customer Reviews

A good first step into the world of Quantitative Finance
The author has written a nice, lively elementary text on mathematical finance. This book can serve as a excellent launching point into the topic. For the next step in the reader's development, I recommend the very good intermediate level treatment by Bjork in Arbitrage Theory in Continuous Time. As a capstone for advanced study, I recommend the advanced treatment of Musiela and Rutkowski's Martingale Methods in Financial Modelling.

Hull starts out with several chapters on the basics of the derivative contracts in his study. The contracts introduced are forward and futures contracts, interest rate swaps, and equity options. The basic definitions of each contingency contract is given, as well as characteristics of the markets where these contracts trade. Some basic trading strategies are also studied.

The study of the option pricing model problem begins in earnest in Chapter 10. The section on one-step binomial tree model leads to a very intuitive description of risk-neutral valuation.

Chapter 11 introduces continuous time stochastic processes in a very intuitive setting. To avoid the hard-core Ito calculus, the author motivates the stochastic differential by considering difference equations. This is a nice technique and makes the material accessible to the beginner. The next highlight is a statement of Ito's lemma. This is not given in full generality, but only stated precisely as needed for Black-Scholes calculations. The appendix gives an intuitive motivation for Ito's lemma based on the multi-dimensional Taylor's formula.
This is a nice illustration as Taylor's formula is indeed a component of the formal semi-martingale based proof of Ito's rule. See for example Oksendal Stochastic Differential Equations: An Introduction with Applications Chapter 4, Karatzas & Shreve Brownian Motion and Stochastic Calculus Chapter 3, or Rogers and Williams Diffusions, Markov Processes and Martingales: Volume 2, Itô Calculus.

Chapter 12 is devoted to the Black-Scholes-Merton theory of option pricing. The famous Black-Scholes PDE is derived via Ito's rule and application of a delta hedge. The author doesn't directly solve this PDE (via the standard application of the Feyman-Kac formula). Instead a nice proof of the option pricing formula is established in the appendix based on a simple log-normal distribution argument.

Chapter 13 discusses option pricing in for other contingency contracts. In Chapter 14, we return to equity options by studying the Greek letters. The reader discovers the Greek letters can be thought of as coefficients of the Black-Scholes PDE and learns some elementary hedging techniques.

Chapter 15 discusses implied volatility and volatility smiles. It is here that the astute reader gets his first indication that the Black-Scholes theory for option pricing may not be as robust or "true to market" as the reader may have been lead to believe. (The folks at Long-Term Capital Management learned this hard lesson rather publicly.)

A survey of topics of interest follows in the next handful of chapters. The material on value at risk, the GARCH volatility model and exotic options is somewhat superficial. The careless reader will come away feeling he knows quite a bit more than he really does.

Martingale theory is touched on in 21 and the Girsanov Theorem is alluded to, but these topics are really too complex and require too many prerequisites for proper treatment in the context. A general multi-variate version of Ito's Rule is stated in the appendix of this chapter.

The next section of the book deals with term-structure models and their applications. One-factor models are discussed along with the various limitations of each of these models. This gives a nice historical treatment. The Heath-Jarrow-Morton and Libor Market Model k-factor term-structure frameworks are introduced. Without the supporting martingale theory, the analysis of these models presented here is very limited.

The last several chapters of the text are very survey-like and breezily touch on topics such as credit risk, credit derivatives and energy derivatives. There isn't a lot of theory in these chapters at all, but at least the reader is made aware of the existence of these kinds of contingencies.

The book wraps up with a cautionary chapter in the form of lessons learned. The unwary reader might see all of the derivative-related train wrecks and say to himself "well, that won't be me". The problem is that it really might be you if you truly (and foolishly) still believe the equity prices always follow geometric Brownian motion. See Lo & MacKinlay A Non-Random Walk Down Wall Street for an excellent exposition into the limitations of the basic assumptions underpinning the Black-Scholes-Merton theory.

If nothing else, Hull's last chapter should convince you that maybe this isn't the only book you'll ever want to read in your study of mathematical finance.

This is by far the best book on the subject.
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.

A PhD student's review
Like all too many PhD students trying to push their way into the already overcrowded quant. finance job-space, I too had heard that Hull is the "bible" of quant. finance, and it should be the first book you should read.

WRONG. Dead wrong. Hull should be the LAST book you should read, and I mean it literally. That is, you definitely SHOULD read Hull, but after reading some good quant. finance books and getting some intuition behind what is going on.

The good parts of Hull are:

1) breadth of topics covered - there is no other single book that covers the range of topics that Hull does.
2) some amount of feel of real markets that it gives (all this means is that it describes the mechanics of markets).

For someone just starting out learning quant. finance, however, the above two become big stumbling blocks. The breadth of topics means that several topics are covered in a, and I am being kind, patchy manner. In fact, you can go through quite a lot of Mr. Hull's babble about "worlds" (something he uses interchangeably for "measure") without understanding whatever the heck a risk-neutral measure is. There are risk-neutral worlds, forward-neutral worlds, stock-worlds...and you don't know the underlying simple, simple principle, so you just keep following him, and he goes on and on...

Another example - Black's formula in fixed income products - he just goes on and on about its applications to this that and the other (bond options, swaptions...), discusses the "validity of Black's formula" (which supposedly tells you that it is more general that it is usually believed to be, but tells you neither how general it is, nor how general it is believed to be)...All this without giving you the simple, one sentence reasoning behind the Black formula.

Time and again in the book there are formulae that seem to be just pulled out of thin air. There are better compilations of formulae (Haug, for example), so I don't quite understand what the idea is. You keep wondering HOW a valuation formula came about, because you want to know what assumptions lie behind that valuation, and how to change it if some of those assumptions change...But as frequently as not, you will be left turning pages in the vain hope of trying to find out.

Add to that a poorly composed index, ill defined terms sprinkled all over the book, hand-waving galore, and it equates to hours of frustration. Just understanding clearly what is being talked about takes a lot of page turning, searching for definitions and so on.

And don't go by people who look down folks wanting to be precise. I am not talking about any ivory tower precision - I am talking about real, practical precision. The precision you need in a book to be able to answer a non-rote question properly. That precision is not there in most of Hull.