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Options, Futures, and Other Derivatives (9th Edition), by John C. Hull
PDF Ebook Options, Futures, and Other Derivatives (9th Edition), by John C. Hull
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For graduate courses in business, economics, financial mathematics, and financial engineering; for advanced undergraduate courses with students who have good quantitative skills; and for practitioners involved in derivatives markets
Practitioners refer to it as “the bible;” in the university and college marketplace it’s the best seller; and now it’s been revised and updated to cover the industry’s hottest topics and the most up-to-date material on new regulations. Options, Futures, and Other Derivatives by John C. Hull bridges the gap between theory and practice by providing a current look at the industry, a careful balance of mathematical sophistication, and an outstanding ancillary package that makes it accessible to a wide audience. Through its coverage of important topics such as the securitization and the credit crisis, the overnight indexed swap, the Black-Scholes-Merton formulas, and the way commodity prices are modeled and commodity derivatives valued, it helps students and practitioners alike keep up with the fast pace of change in today’s derivatives markets.
This program provides a better teaching and learning experience—for you and your students. Here’s how:
- NEW! Available with a new version of DerivaGem software—including two Excel applications, the Options Calculator and the Applications Builder
- Bridges the gap between theory and practice—a best-selling college text, and considered “the bible” by practitioners, it provides the latest information in the industry
- Provides the right balance of mathematical sophistication—careful attention to mathematics and notation
- Offers outstanding ancillaries toround out the high quality of the teaching and learning package
- Sales Rank: #18574 in Books
- Published on: 2014-01-25
- Original language: English
- Number of items: 1
- Dimensions: 10.00" h x 1.30" w x 8.20" l, 3.45 pounds
- Binding: Hardcover
- 896 pages
Most helpful customer reviews
141 of 147 people found the following review helpful.
A good first step into the world of Quantitative Finance
By Paul Thurston
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.
71 of 74 people found the following review helpful.
Unparalleled resource for those entering quantitative finance
By Max Falcon
This review is written for many of those switching to quantitative finance from other fields. Hull's book will become an essential foundation-builder for such people.
Let's assume you want to become a quantitative analyst or a risk manager switching from another, preferably quantitative, field. Then in order to get a job you need to have the following:
1. Knowledge of derivatives and markets;
2. Knowledge of statistical methods and data analysis with applications in finance;
3. Computational methods supported by software such as C++ and R to be able to apply theoretical knowledge obtained in 1 and 2;
4. Proof that you have decent understanding of finance through obtaining a designation such as PRM (Since, under our assumption, you enter finance from a different field, you don't have work experience. That is why PRM will be the most suitable for you as you will just need to be well prepared academically to pass the exams and get the designation).
The book under review will be absolutely essential for you for clearing steps 1 and 4. It has been written with the care for the reader in mind.
Hull, in contrast to many other authors, does not try to show off his intellectual superiority by using complicated and abstract language which would normally be designed to make the reader feel miserable. In contrast, he wants the reader to become knowledgeable by carefully guiding him through complicated topics with numerous examples and explanations. The friendliness of exposition does not mean that the rigor is lost though; the book is written with the perfect rigor, but it is achieved without making it too dry and abstract. The scope of coverage is amazing: all major aspects of derivatives and markets connected with them have been covered. Particular importance is that Hull gives lots of practical exercises which should be completed to obtain fluency in the theory and its applications. Only after you work carefully through the book, you can strengthen your skills of (1) by working through other texts, such as Joshi's The Concepts and Practice of Mathematical Finance (Mathematics, Finance and Risk) and More mathematical finance.
To get the grasp of (2) and (3), you can work through Ruppert's Statistics and Data Analysis for Financial Engineering (Springer Texts in Statistics) and Joshi's C++ Design Patterns and Derivatives Pricing (Mathematics, Finance and Risk).
This book, together with the official handbook, will definitely prepare you for PRM, thus fulfilling (4). Without it, preparation for the PRM will be difficult, if you don't have prior financial experience.
I don't know about another high-quality, reader-friendly resource which could compete with Hull's book in providing a strong foundation in becoming a serious financial engineer. When one is entering new field, a good starting book is essential as it will either make the transition easy or frustrating. The book under review will make such transition painless.
25 of 25 people found the following review helpful.
The gold standard (although you may not need to upgrade to the seventh edition)
By David R. Harper
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.
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