A Course in Derivative Securities

Okay, there are numerous financial engineering textbooks on the market. A lot of them are excellent, and this one is too. How do you pick the right one for self study or for a course you may need to teach? My job is to help you answer that question, so what can I say about this book?

 

It is a practical introduction to the mathematics of financial engineering. It has no introductory narrative about financial markets, the roles of market participants or basic derivative instruments—the material covered in Kolb (2007) or the first half of Hull (2005). It focuses on the pricing material covered in the second half of Hull, and it does a much better job of it. If you want a serious introduction to the mathematics of derivatives pricing, consider this an excellent Hull alternative.

Accordingly, the book should be used in the second semester of a two semester course on derivatives or it should be used by someone who already has considerable familiarity with derivatives markets. The level is suitable for a senior college student studying mathematics or a first year graduate student studying finance.

Back's focus is on showing readers how to use the fundamental theorem of asset pricing to value instruments, which is pretty much what you want to know to be a financial engineer. He doesn't bother with measure theory or the nitty-gritty probability theory that often bogs down other books. There is no talk of sample spaces, filtrations or Radon-Nikodym derivatives, which aren't really relevant for practical financial engineering anyway. Results tend to be stated rather than proven, but the author is careful to develop concepts in a logical and largely intuitive manner. He also provides VBA code and plenty of exercises to practice concepts on.

The author's real strength is motivating individual concepts. He is not as strong at the "forest-for-the-trees" sort of overall motivation. If you already have a general familiarity with financial engineering (or the book will be used in a course where the professor can provide such macro motivation) you won't mind at all.

Contents

Introduction to option pricing

1. Asset pricing basics

2. Continuous-time models

3. Black-Scholes

4. Estimating and modelling volatility

5. Introduction to Monte Carlo and binomial models

Advanced option pricing

6. Foreign exchange

7. Forward, futures, and exchange options

8. Exotic options

9. More on Monte Carlo and binomial valuation

10. Finite difference methods

Fixed income

11. Fixed income concepts

12. Introduction to fixed income derivatives

13. Valuing derivatives in the extended Vasicek model

14. A brief survey of term structure models

App. A Programming in VBA

App. B Miscellaneous facts about continuous-time models

This is not a hand-waving, watered down intuitive introduction to financial engineering. It is very serious about getting readers to a point where they can start implementing models. The author describes the book as perhaps "cook-bookish," but I think he is being unfair to himself. You will come away from this book with far more understanding than that label implies.

How does the book compare with similar offerings? Roman (2005) focuses more on concepts from probability theory and does not delve as much into actual financial engineering models. Bingham and Kiesel (2004) is for more mathematically sophisticated readers, but it will get you deeper into practical financial engineering models. Books like Baxter and Rennie (1996), Chriss (1997), Neftci (2000) and Joshi (2003) are mostly intuitive, but any would be nice for obtaining that forest-for-the-trees familiarity with financial engineering that will be essential for getting through this book.

Researchers may want a more theoretical book than this. For budding practitioners who have the necessary prerequisites, this book is an outstanding portal to the mathematics of financial engineering as it is practiced today. [10/24/05]

For related books, see sections:

Financial Engineering - Basic Theory

Financial Engineering - Intermediate Theory

Financial Engineering - Advanced Theory

Financial Engineering - Numerical Methods

 

 

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