Tools for Computational Finance

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* Covers on an introductory level the very important issue of computational aspects of derivative pricing * People with a solid background of stochastics, numerics, and derivative pricing will gain an immediate profit This book is very easy to read and one can gain a quick snapshot of computational issues arising in financial mathematics. Researchers or students of the mathematical sciences with an interest in finance will find this book a very helpful and gentle guide to the world of financial engineering. SIAM review (46, 2004). The fourth edition is thoroughly revised and extended. Major revisions concern topics like calibration, Monte Carlo Methods, American options, exotic options and Algorithms for Bermuda Options. New figures, more exercises, more background material make this guide to the world of financial engineering a real must-to-have for everyone working in FE.

Author(s): RĂ¼diger U. Seydel (auth.)
Series: Universitext
Edition: 4
Publisher: Springer Berlin Heidelberg
Year: 2009

Language: English
Pages: 349
Tags: Numerical Analysis; Quantitative Finance

Front Matter....Pages 1-16
Modeling Toole for Financial Options....Pages 1-68
Generating Random Numbers with Specified Distribution....Pages 1-31
Monte Carlo Simulation with Stochastic Differential Equations....Pages 1-40
Standard Methods for Standard Options....Pages 1-61
Finite Element Methods....Pages 1-32
Pricing of Exotic Options....Pages 1-30
Back Matter....Pages 1-70