Tools for Computational Finance (Universitext)

Seydel, Rüdiger U.

ISBN 10: 354043609X / ISBN 13: 9783540436096

Published by Springer, 2002

About this Item

Buch ist eingebunden.

Seller Inventory # 3736949_fc4

Bibliographic Details

• Title: Tools for Computational Finance (Universitext)
• Publisher: Springer
• Publication Date: 2002
• Language: English
• ISBN 10: 354043609X
• ISBN 13: 9783540436096
• Binding: Soft cover
• Condition: Very Good

About this title

Synopsis

This book provides a practical introduction to Computational Finance, formulating methods and algorithms that can be implemented and used. The first part presents basic features of options and mathematical models and the foundations of simulation methods such as Monte Carlo methods. The main topic of the book is the valuation of options based on the partial differential equations and inequalities of Black and Scholes. Basic approaches of finite-difference and finite-element methods are explained. The book is written in a vivid concise style, with a minimum of formalism and focussing on readability. Numerous figures and and many examples illustrate the concepts. An extensive appendix provides additional material for readers with little background in finance, stochastics, or computational methods.

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.