Options, Futures, and Other Derivatives, 11th edition

Published by Pearson (April 13, 2021) © 2022

  • John C. Hull University of Toronto

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For business, economics, and financial engineering and mathematics courses.

The definitive guide to the derivatives market, updated with contemporary examples and discussions

Known as “the bible” to business and economics professionals and a consistent best-seller, Options, Futures, and Other Derivatives gives readers a modern look at the derivatives market. By incorporating the industry's hottest topics, such as the securitization and credit crisis, the text helps bridge the gap between theory and practice.

The 11th Edition covers all of the latest regulations and trends, including the Black-Scholes-Merton formulas, overnight indexed swaps, and the valuation of commodity derivatives.

Hallmark features of this title

A delicate balance of mathematical sophistication

  • Nonessential mathematical material has been eliminated or included in end-of-chapter appendices and the technical notes on the author's website.
  • Concepts that are likely to be new to many readers have been explained carefully.
  • Numerical examples have been included for added clarity.

Accompanying software lets students get comfortable with models

  • An Options Calculator helps students value a wide range of options.
  • An Applications Builder lets students explore the properties of numerical procedures and options more effectively. Instructors can also design more engaging assignments around custom applications.
  • A Monte Carlo simulation worksheet illustrates how to use the simulation for valuing options.

New and updated features of this title

Coverage of the latest market trends

  • UPDATED: Tables, charts, examples and market data discussions have all been revisited to reflect current market conditions. They include overnight reference rates that will replace LIBOR at the end of 2021, and their impact on valuation models; rough volatility models which have in the last few years been found to fit volatility surfaces; machine learning in the pricing and hedging of derivatives; and changes in the regulatory environment.

Practice-focused resources

  • UPDATED: End-of-chapter problems, which were previously based on LIBOR, have been replaced by those based on the new reference rates or by generic examples.
  • NEW: Short Concept Questions in the first 20 chapters help students determine whether they understand the key ideas they've just covered.
  • NEW: Solutions to all end-of-chapter problems and questions are now available on pearson.com and www-2.rotman.utoronto.ca/~hull.
  • List of Business Snapshots
  • List of Technical Notes
  1. Introduction
  2. Futures markets and central counterparties
  3. Hedging strategies using futures
  4. Interest rates
  5. Determination of forward and futures prices
  6. Interest rate futures
  7. Swaps
  8. Securitization and the financial crisis of 2007-8
  9. XVAs
  10. Mechanics of options markets
  11. Properties of stock options
  12. Trading strategies involving options
  13. Binomial trees
  14. Wiener processes and Itô's lemma
  15. The Black–Scholes–Merton model
  16. Employee stock options
  17. Options on stock indices and currencies
  18. Futures options and Black's model
  19. The Greek letters
  20. Volatility smiles and Volatility Surfaces
  21. Basic numerical procedures
  22. Value at risk and expected shortfall
  23. Estimating volatilities and correlations
  24. Credit risk
  25. Credit derivatives
  26. Exotic options
  27. More on models and numerical procedures
  28. Martingales and measures
  29. Interest rate derivatives: The standard market models
  30. Convexity, timing, and quanto adjustments
  31. Equilibrium models of the short rate
  32. No-arbitrage models of the short rate
  33. Modeling Forward Rates
  34. Swaps Revisited
  35. Energy and commodity derivatives
  36. Real options
  37. Derivatives mishaps and what we can learn from them

Glossary of terms

DerivaGem software

Major exchanges trading futures and options

Tables for N x

About our author

John Hull is the Maple Financial Professor of Derivatives and Risk Management at the Joseph L. Rotman School of Management, University of Toronto (UofT). In 2016, he was awarded the title of University Professor (an honor granted to only 2% of faculty at UofT). He is an internationally recognized authority on derivatives and risk management and has many publications in this area. His work has an applied focus. He has acted as a consultant to many financial institutions throughout the world and has won many teaching awards, including UofT's prestigious Northrop Frye award. His research and teaching activities include risk management, regulation, and machine learning, as well as derivatives. He is co-director of Rotman's Master in Finance and Master in Financial Risk Management Programs.

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