Tools for Computational Finance (Universitext) - Softcover

Rüdiger U. Seydel

Softcover

ISBN 10: 3540406042 ISBN 13: 9783540406044

Publisher: Springer, 2003

Synopsis

"In an increasingly crowded field of financial engineering titles, Seydel's Tools for Computational Finance stands out as filling an unmet need. It is an intermediate level text with an extremely practical focus. ... This is the kind of book you can read quickly, gaining a broad understanding of practical techniques of financial engineering. On the other hand, you can go through it slowly, working through all the examples and exercises in order to gain indepth practical knowledge you can use on the job." www.riskbook.com For the second edition the author has enlarged the chapter on Monte Carlo Simulation, has added more figures, more exercises, more references, more material in the appendices and has written a new section on jump processes.

About this title

From the Back Cover:

Computational and numerical methods are used in a number of ways across the field of finance. It is the aim of this book to explain how such methods work in financial engineering. By concentrating on the field of option pricing, a core task of financial engineering and risk analysis, this book explores a wide range of computational tools in a coherent and focused manner and will be of use to anyone working in computational finance. Starting with an introductory chapter that presents the financial and stochastic background, the book goes on to detail computational methods using both stochastic and deterministic approaches.

Now in its sixth edition, Tools for Computational Finance has been significantly revised and contains:   

• Several new parts such as a section on extended applications of tree methods, including multidimensional trees, trinomial trees, and the handling of dividends;
  
• Additional material in the field of generating normal variates with acceptance-rejection methods, and on Monte Carlo methods;
  
• 115 exercises, and more than 100 figures, many in color.

Written from the perspective of an applied mathematician, all methods are introduced for immediate and straightforward application. A ‘learning by calculating’ approach is adopted throughout this book, enabling readers to explore several areas of the financial world.

Interdisciplinary in nature, this book will appeal to advanced undergraduate and graduate students in mathematics, engineering, and other scientific disciplines as well as professionals in financial engineering.

About the Author:

Rüdiger U. Seydel is professor emeritus of numerical analysis. He is the former head of a research group on computational finance at the University of Cologne. He also worked in bifurcation and dynamical systems.

About this edition

• Publisher: Springer
• Publication date: 2003
• ISBN 10: 3540406042
• ISBN 13: 9783540406044
• Binding: Paperback
• Edition number: 2
• Number of pages: 240