Overview
- Detailed presentation of new computational intelligence methods for financial decisions
- Broad coverage of financial problems related to risk management, valuation, and prediction
- Critical review of current best practices, thorough comparative results, software implementations
Part of the book series: Springer Optimization and Its Applications (SOIA, volume 70)
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Table of contents (11 chapters)
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Front Matter
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Back Matter
Keywords
About this book
The increasing complexity of financial problems and the enormous volume of financial data often make it difficult to apply traditional modeling and algorithmic procedures. In this context, the field of computational intelligence provides an arsenal of particularly useful techniques. These techniques include new modeling tools for decision making under risk and uncertainty, data mining techniques for analyzing complex data bases, and powerful algorithms for complex optimization problems. Computational intelligence has also evolved rapidly over the past few years and it is now one of the most active fields in operations research and computer science. This volume presents the recent advances of the use of computation intelligence in financial decision making. The book covers all the major areas of computational intelligence and a wide range of problems in finance, such as portfolio optimization, credit risk analysis, asset valuation, financial forecasting, and trading.
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Editors and Affiliations
Bibliographic Information
Book Title: Financial Decision Making Using Computational Intelligence
Editors: Michael Doumpos, Constantin Zopounidis, Panos M. Pardalos
Series Title: Springer Optimization and Its Applications
DOI: https://doi.org/10.1007/978-1-4614-3773-4
Publisher: Springer New York, NY
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer Science+Business Media New York 2012
Hardcover ISBN: 978-1-4614-3772-7Published: 21 July 2012
Softcover ISBN: 978-1-4899-9008-2Published: 08 August 2014
eBook ISBN: 978-1-4614-3773-4Published: 23 July 2012
Series ISSN: 1931-6828
Series E-ISSN: 1931-6836
Edition Number: 1
Number of Pages: XVIII, 326
Topics: Operations Research, Management Science, Finance, general