Introduction to Mathematical Finance: Discrete Time Models / Edition 1

by Stanley R. Pliska

Overview

The purpose of this book is to provide a rigorous yet accessible introduction to the modern financial theory of security markets. The main subjects are derivatives and portfolio management. The book is intended to be used as a text by advanced undergraduates and beginning graduate students. It is also likely to be useful to practicing financial engineers, portfolio manager, and actuaries who wish to acquire a fundamental understanding of financial theory. The book makes heavy use of mathematics, but not at an advanced level. Various mathematical concepts are developed as needed, and computational examples are emphasized.

Product Details

ISBN-13:	9781557869456
Publisher:	Wiley
Publication date:	07/07/1997
Pages:	272
Product dimensions:	6.30(w) x 9.30(h) x 1.02(d)

About the Author

Stanley Pliska is the founding editor of the scholarly journal Mathematical Finance. He is noted for his fundamental research on the mathematical and economic theory of security prices, especially his development of important bridges between stochastic calculus and arbitrage pricing theory as well as his discovery of the risk neutral computational approach for portfolio optimization problems. He is currently teaching and researching in the areas of interest rate derivatives and dynamic asset allocation.

Table of Contents

Preface v

Acknowledgments x

1 Single Period Securities Markets 1

2 Single Period Consumption and Investment 33

3 Multiperiod Securities Markets 72

4 Options, Futures, and Other Derivatives 112

5 Optimal Consumption and Investment Problems 149

6 Bonds and Interest Rate Derivatives 200

7 Models with Infinite Sample Spaces 238

Appendix: Linear Programming 250

Bibliography 254

Index 257

Editorial Reviews

"I believe that this is an excellent text for undergraduate or MBA classes on Mathematical Finance. The bulk of the book describes a model with finitely many, discrete trading dates, and a finite sample space, thus it avoids the technical difficulties associated with continuous time models. The major strength of this book is its careful balance of mathematical rigor and intuition." Peter Lakner, New York University

From the Publisher