Computational Methods in Finance
Handbook of Computational and Numerical Methods in Finance

Authors: Editors: Svetlozar T.Rachev, George A. Anastassiou
Editions: Birkhäuser
Pages: 435 pages
Date: June 2004
The subject of numerical methods in finance has recently emerged as a new discipline at the intersection of probability theory, finance, and numerical analysis. The methods employed bridge the gap between financial theory and computational practice, and provide solutions for complex problems that are difficult to solve by traditional analytical methods. Although numerical methods in finance have been studied intensively in recent years, many theoretical and practical financial aspects have yet to be explored. This volume presents current research and survey articles focusing on various numerical methods in finance.

Key topics include methodological issues, i.e., genetic algorithms, neural networks, Monte–Carlo methods, finite difference methods, stochastic portfolio optimization, as well as the application of other computational and numerical methods in finance and risk management.

The book is designed for the academic community and will also serve professional investors.

Stoyan V. Stoyanov, Professor of Finance at EDHEC Business School and Programme Director of the EDHEC-Risk Institute Executive MSc in Risk and Investment Management for Asia, has co-authored a chapter in the publication.

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