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  • Book
  • © 2008

Natural Computing in Computational Finance

  • Reports recent research results on natural computation in computational economics and finance
  • Includes supplementary material: sn.pub/extras

Part of the book series: Studies in Computational Intelligence (SCI, volume 100)

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Table of contents (15 chapters)

  1. Front Matter

    Pages I-X
  2. Model Induction

    1. Fuzzy-Evolutionary Modeling for Single-Position Day Trading

      • Célia da Costa Pereira, Andrea G. B. Tettamanzi
      Pages 131-159
    2. Strong Typing, Variable Reduction and Bloat Control for Solving the Bankruptcy Prediction Problem Using Genetic Programming

      • Eva Alfaro-Cid, Alberto Cuesta-Cañada, Ken Sharman, Anna I. Esparcia-Alcázar
      Pages 161-185
    3. Hybrid Neural Systems in Exchange Rate Prediction

      • Andrzej Bielecki, Pawel Hajto, Robert Schaefer
      Pages 211-230
  3. Agent-based Modelling

    1. Evolutionary Learning of the Optimal Pricing Strategy in an Artificial Payment Card Market

      • Biliana Alexandrova-Kabadjova, Edward Tsang, Andreas Krause
      Pages 233-251
    2. Can Trend Followers Survive in the Long-Run% Insights from Agent-Based Modeling

      • Xue-Zhong He, Philip Hamill, Youwei Li
      Pages 253-269
    3. Co-Evolutionary Multi-Agent System for Portfolio Optimization

      • Rafał Dreżewski, Leszek Siwik
      Pages 271-299
  4. Back Matter

    Pages 301-303

About this book

Natural Computing in Computational Finance is a innovative volume containing fifteen chapters which illustrate cutting-edge applications of natural computing or agent-based modeling in modern computational finance. Following an introductory chapter the book is organized into three sections. The first section deals with optimization applications of natural computing demonstrating the application of a broad range of algorithms including, genetic algorithms, differential evolution, evolution strategies, quantum-inspired evolutionary algorithms and bacterial foraging algorithms to multiple financial applications including portfolio optimization, fund allocation and asset pricing. The second section explores the use of natural computing methodologies such as genetic programming, neural network hybrids and fuzzy-evolutionary hybrids for model induction in order to construct market trading, credit scoring and market prediction systems. The final section illustrates a range of agent-based applications including the modeling of payment card and financial markets. Each chapter provides an introduction to the relevant natural computing methodology as well as providing a clear description of the financial application addressed.

The book was written to be accessible to a wide audience and should be of interest to practitioners, academics and students, in the fields of both natural computing and finance.

Editors and Affiliations

  • School of Business Quinn School, University College Dublin, Dublin 4, Ireland

    Anthony Brabazon

  • Natural Computing Research and Applications School of Computer Science and Informatics, University College Dublin, Dublin 4, Ireland

    Michael O’Neill

Bibliographic Information

Buy it now

Buying options

eBook USD 129.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access