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.

For related books, see sections:

Markets - Derivatives

Financial Engineering - Basic Theory

Financial Engineering - Numerical Methods

Math - Financial Math

Math - Financial Programming

 

 

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