Springer Optimization and Its Applications

Financial Decision Making Using Computational Intelligence

Editors: Doumpos, Michael, Zopounidis, Constantin, Pardalos, Panos M. (Eds.)

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  • 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
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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.

 

Table of contents (11 chapters)

Table of contents (11 chapters)
  • Statistically Principled Application of Computational Intelligence Techniques for Finance

    Pages 1-33

    Healy, Jerome V.

  • Can Artificial Traders Learn and Err Like Human Traders? A New Direction for Computational Intelligence in Behavioral Finance

    Pages 35-69

    Chen, Shu-Heng (et al.)

  • Application of Intelligent Systems for News Analytics

    Pages 71-101

    Bozic, Caslav (et al.)

  • Modelling and Trading the Greek Stock Market with Hybrid ARMA-Neural Network Models

    Pages 103-127

    Dunis, Christian L. (et al.)

  • Pattern Detection and Analysis in Financial Time Series Using Suffix Arrays

    Pages 129-157

    Xylogiannopoulos, Konstantinos F. (et al.)

Buy this book

eBook $119.00
price for USA in USD
  • ISBN 978-1-4614-3773-4
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • Immediate eBook download after purchase and usable on all devices
  • Bulk discounts available
Hardcover $159.99
price for USA in USD
Softcover $159.00
price for USA in USD
Rent the eBook  
  • Rental duration: 1 or 6 month
  • low-cost access
  • online reader with highlighting and note-making option
  • can be used across all devices
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Bibliographic Information

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
Series Volume
70
Copyright
2012
Publisher
Springer US
Copyright Holder
Springer Science+Business Media New York
eBook ISBN
978-1-4614-3773-4
DOI
10.1007/978-1-4614-3773-4
Hardcover ISBN
978-1-4614-3772-7
Softcover ISBN
978-1-4899-9008-2
Series ISSN
1931-6828
Edition Number
1
Number of Pages
XVIII, 326
Topics