Springer Optimization and Its Applications

Financial Decision Making Using Computational Intelligence

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

  • 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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eBook $109.00
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Hardcover $149.00
price for USA
  • ISBN 978-1-4614-3772-7
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  • ISBN 978-1-4899-9008-2
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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)

  • Statistically Principled Application of Computational Intelligence Techniques for Finance

    Healy, Jerome V.

    Pages 1-33

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

    Chen, Shu-Heng (et al.)

    Pages 35-69

  • Application of Intelligent Systems for News Analytics

    Bozic, Caslav (et al.)

    Pages 71-101

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

    Dunis, Christian L. (et al.)

    Pages 103-127

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

    Xylogiannopoulos, Konstantinos F. (et al.)

    Pages 129-157

Buy this book

eBook $109.00
price for USA (gross)
  • ISBN 978-1-4614-3773-4
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $149.00
price for USA
  • ISBN 978-1-4614-3772-7
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $149.00
price for USA
  • ISBN 978-1-4899-9008-2
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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 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