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© 2005

Mathematics of Financial Markets

Benefits

  • Aimed at those who need to understand the mathematics behind the multitude of current financial instruments used in derivative markets, including risk managers and other practitioners

  • Begins with the mathematics used in discrete-time models, which can be more simply explained, then moves into the more difficult continuous-time models

  • Includes detailed analyses of the famous Black-Scholes theory, American put options, term structure models, and consumption-investment problems

  • Provides a clear understanding of pricing and hedging for call and put options

  • The mathematics used is accessible

  • The mathematics of martingales and stochastic calculus is developed where needed

  • The treatment is careful and detailed rather than comprehensive

Textbook

Part of the Springer Finance book series (FINANCE)

Table of contents

  1. Front Matter
    Pages i-xi
  2. Pages 27-55
  3. Pages 87-103
  4. Pages 223-245
  5. Pages 247-284
  6. Pages 303-328
  7. Back Matter
    Pages 329-352

About this book

Introduction

This book presents the mathematics that underpins pricing models for derivative securities, such as options, futures and swaps, in modern financial markets. The idealized continuous-time models built upon the famous Black-Scholes theory require sophisticated mathematical tools drawn from modern stochastic calculus. However, many of the underlying ideas can be explained more simply within a discrete-time framework. This is developed extensively in this substantially revised second edition to motivate the technically more demanding continuous-time theory, which includes a detailed analysis of the Black-Scholes model and its generalizations, American put options, term structure models and consumption-investment problems. The mathematics of martingales and stochastic calculus is developed where it is needed.

The new edition adds substantial material from current areas of active research, notably:

a new chapter on coherent risk measures, with applications to hedging

a complete proof of the first fundamental theorem of asset pricing for general discrete market models

the arbitrage interval for incomplete discrete-time markets

characterization of complete discrete-time markets, using extended models

risk and return and sensitivity analysis for the Black-Scholes model

The treatment remains careful and detailed rather than comprehensive, with a clear focus on options. From here the reader can progress to the current research literature and the use of similar methods for more exotic financial instruments.

The text should prove useful to graduates with a sound mathematical background, ideally a knowledge of elementary concepts from measure-theoretic probability, who wish to understand the mathematical models on which the bewildering multitude of current financial instruments used in derivative markets and credit institutions is based. The first edition has been used successfully in a wide range of Master’s programs in mathematical finance and this new edition should prove even more popular in this expanding market. It should equally be useful to risk managers and practitioners looking to master the mathematical tools needed for modern pricing and hedging techniques.

Robert J. Elliott is RBC Financial Group Professor of Finance at the Haskayne School of Business at the University of Calgary, having held positions in mathematics at the University of Alberta, Hull, Oxford, Warwick, and Northwestern. He is the author of over 300 research papers and several books, including Stochastic Calculus and Applications, Hidden Markov Models (with Lahkdar Aggoun and John Moore) and, with Lakhdar Aggoun, Measure Theory and Filtering: Theory and Applications. He is an Associate Editor of Mathematical Finance, Stochastics and Stochastics Reports, Stochastic Analysis and Applications and the Canadian Applied Mathematics Quarterly. P. Ekkehard Kopp is Professor of Mathematics, and a former Pro-Vice-Chancellor, at the University of Hull. He is the author of Martingales and Stochastic Integrals, Analysis and, with Marek Capinski, of Measure, Integral and Probability. He is a member of the Editorial Board of Springer Finance.


 

Keywords

Black-Scholes Markov model Martingale Probability theory Stochastic calculus calculus measure theory stochastics

Authors and affiliations

  1. 1.Haskayne School of BusinessUniversity of CalgaryCalgaryCanada
  2. 2.Department of MathematicsUniversity of HullHull, YorkshireUK

Bibliographic information

Industry Sectors
Finance, Business & Banking

Reviews

From the reviews:

"...This book is a valuable addition to a graduate student's reference collection. The number of textbooks in mathematical finance is increasing much faster than the number of revolutionary contributions to the field, but this text stands above the crowd." SIAM Review, December 2005

From the reviews of the second edition:

"The book is very carefully formatted. … this book is a valuable addition to a graduate student’s reference collection. The number of textbooks in mathematical finance is increasing much faster than the number of revolutionary contributions to the field, but this text stands above the crowd." (Alexandre D’Aspremont, SIAM Reviews, December, 2005)

"The emphasis of the first edition of this book was on developing the mathematical concepts for the rapidly expanding field of mathematical finance. This second edition contains a significant number of changes and additions … . The target audience is readers with sound mathematical background on elementary concepts from measure-theoretic probability … . It should be an equally valuable resource to practitioners interested in the mathematical tools … . will be a very useful addition to any scholarly library." (Theofanis Sapatinas, Journal of Applied Sciences, Vol. 32 (6), 2005)

"The second edition adds new matieral from current active research areas. A new chapter on coherent risk measures for instance reflects the recent trend in research and applications in the area of risk management. In summary, this is an excellent textbook in mathematical finance, and I can definitely recommend it." (S. Peng, Short Book Reviews of the ISI, June 2006)