Cover Image

Handbook of Computational and Numerical Methods in Finance /

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 ar...

Full description

Bibliographic Details
Main Author: Rachev, Svetlozar T.
Corporate Author: SpringerLink (Online service)
Format: eBook
Language:English
Published: Boston, MA : Birkhäuser Boston : Imprint : Birkhäuser, 2004.
Subjects:
Mathematics.
Finance.
Computer science > Mathematics.
Numerical analysis.
Distribution (Probability theory)
Electronic books.
Online Access:Connect to the full text of this electronic book
Description
Summary: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 covered include: methodological issues, i.e., genetic algorithms, neural networks, MonteCarlo 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. Contributors: K. Amir-Atefi; Z. Atakhanova; A. Biglova; O.J. Blaskowitz; D. DSouza; W.K. Hrdle; I. Huber; I. Khindanova; A. Kohatsu-Higa; P. Kokoszka; M. Montero; S. Ortobelli; E. zturkmen; G. Pags; A. Parfionovas; H. Pham; J. Printems; S. Rachev; B. Racheva-Jotova; F. Schlottmann; P. Schmidt; D. Seese; S. Stoyanov; C.E. Testuri; S. Trck; S. Uryasev; and Z. Zheng.
Item Description:Electronic resource.
Physical Description:1 online resource (VI, 435 pages 15 illustrations)
ISBN:9780817681807 (electronic bk.)
0817681809 (electronic bk.)