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Options, Futures, and Other Derivatives and DerivaGem CD Package (8th Edition)
 
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Options, Futures, and Other Derivatives and DerivaGem CD Package (8th Edition) [Hardcover]

John C. Hull (Author)
4.8 out of 5 stars  See all reviews (5 customer reviews) |
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Book Description

Publication Date: February 12, 2011 | ISBN-10: 0132777428 | ISBN-13: 978-0132777421 | Edition: 8

Bridge the gap between theory and practice.

Designed to bridge the gap between theory and practice, this introductory text on the futures and options markets is ideal for those with a limited background in mathematics.

The eighth edition has been updated and improved–featuring a new chapter on securitization and the credit crisis, and increased discussion on the way commodity prices are modeled and commodity derivatives valued.

 

0132777428 / 9780132777421 Options, Futures, and Other Derivatives and DerivaGem CD Package

 

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0132164949 / 9780132164948 Options, Futures, and Other Derivatives

0132165112 / 9780132165112 DerivaGem CD for Options, Futures, and Other Derivatives



 

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Options, Futures, and Other Derivatives and DerivaGem CD Package (8th Edition) + Student Solutions Manual for Options, Futures, and Other Derivatives + Investments (McGraw-Hill/Irwin Series in Finance, Insurance and Real Estate)
Price For All Three: $411.50

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  • Student Solutions Manual for Options, Futures, and Other Derivatives by John C. Hull Paperback $39.95

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Product Details

  • Hardcover: 864 pages
  • Publisher: Prentice Hall; 8 edition (February 12, 2011)
  • Language: English
  • ISBN-10: 0132777428
  • ISBN-13: 978-0132777421
  • Product Dimensions: 8.2 x 1.4 x 10.3 inches
  • Shipping Weight: 3.5 pounds (View shipping rates and policies)
  • Average Customer Review: 4.8 out of 5 stars  See all reviews (5 customer reviews)
  • Amazon Best Sellers Rank: #8,632 in Books (See Top 100 in Books)

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More About the Author

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Most Helpful Customer Reviews
9 of 10 people found the following review helpful
Format:Hardcover
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.
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6 of 7 people found the following review helpful
Format:Hardcover
One of the most thorough and clearly written texts on the complex subject of Derivatives Finance, this book is very well suited for academic purposes as well as for practicioners of finance. An impressive feature of the style in which the material is presented is that the author does not try to impress the reader with sophisticated mathematics, but instead adopts a more intuitive approach to communicating the way in which financial instruments are priced. This is a rare feature of high-level finance books, and makes the reading experience more fluid and instructive.
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2 of 4 people found the following review helpful
Scholarly but Dense February 23, 2012
Format:Hardcover
This scholarly work provides the most comprehensive and detailed explanation of derivatives that I have read in any one book. If you have been away from math for a while, however, you may need to refresh your knowledge of algebra and calculus to follow Hull's text. Unlike many of the trading books advertised on Amazon, this one cannot be absorbed while drinking a beer. If you decide to tackle this tome, keep in mind that much of it is theoretical.
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