Mathematics for Finance
An Introduction to Financial Engineering
This is a formal
introduction to financial engineering that uses a definition-theorem-proof
format. Interestingly, the book uses only elementary mathematics, making it
accessible to second or third year university students. For the most part, the
authors employ just pre-calculus and basic probability theory. Almost all
concepts are presented in discrete time. Only later in the book is a small
amount of calculus and linear algebra used. Given these basic tools, it is
surprising how high a level of sophistication the authors achieve, covering such
topics as arbitrage-free valuation, binomial trees, and risk-neutral valuation.
Despite its
elementary nature, the book is mathematically VERY formal. This is excellent for
clarifying definitions. Notions such as arbitrage or admissible portfolio are
indicated with mathematical precision. The result is mathematically elegant and
will appeal to students who have a degree of mathematical sophistication.
A shortcoming of
this approach is that markets are treated in a stylized manner. For the most
part, risky assets are "stocks" and risk-free assets are "bonds." Notions such
as day count conventions, bid-ask spreads, repo rates or swaps receive no
mention. Inputs such as volatilities are simply provided. No consideration is
given as to where they come from. The notion of implied volatilities doesn't
arise.
Contents
1. Introduction: A Simple Market Model
2. Risk-Free Assets
3. Risky Assets
4. Discrete Time Market Models
5. Portfolio Management
6. Forward and Futures Contracts
7. Options: General Properties
8. Option Pricing
9. Financial Engineering
10. Variable Interest Rates
11. Stochastic Interest Rates
The book makes
little effort to develop intuition. For example, lots of books introduce the notion of
risk neutral valuation by considering a binomial model applied to a call option.
This book defines a binomial tree and defines risk neutral probabilities but
doesn't present the compelling option example. I find this inexplicable. The
book moves on to other topics and only gets around to applying a binomial tree
to an option several chapters later. Until they get to that later chapter,
readers are offered no clue why they might be interested in binomial trees or
risk neutral probabilities. As I say, the book is entirely formal. It is written
like an abstract mathematics text. A nice aspect of the book is the extensive
exercises with solutions provided at the back.
People with a
practical interest in financial engineering should not use this as their first
introduction to the subject. However, it makes a nice supplement to books such
as Chriss (1997) or Hull (2005).
Primarily, the book will appeal to undergraduate mathematics majors. As a
supplement to more practical books, its accessibility and formal rigor are
wonderful.