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Visual Explorations in Finance

with Self-Organizing Maps

  • Guido Deboeck
  • Teuvo Kohonen

Part of the Springer Finance book series (FINANCE)

Table of contents

  1. Front Matter
    Pages i-xlv
  2. Applications

    1. Front Matter
      Pages 1-1
    2. Carlos Serrano-Cinca
      Pages 3-23
    3. E. de Bodt, Ph. Grégoire, M. Cottrell
      Pages 24-38
    4. Kimmo Kiviluoto, Pentti Bergius
      Pages 59-71
    5. S. A. Shumsky, A. V. Yarovoy
      Pages 72-82
    6. Guido Deboeck
      Pages 83-105
  3. Methodology, Tools and Techniques

    1. Front Matter
      Pages 157-157
    2. Teuvo Kohonen
      Pages 159-167
    3. Timo Honkela, Krista Lagus, Samuel Kaski
      Pages 168-178
    4. Guido Deboeck
      Pages 179-194
    5. Samuel Kaski, Teuvo Kohonen
      Pages 195-202
  4. Back Matter
    Pages 230-258

About this book

Introduction

Self-organizing maps (SOM) have proven to be of significant economic value in the areas of finance, economic and marketing applications. As a result, this area is rapidly becoming a non-academic technology. This book looks at near state-of-the-art SOM applications in the above areas, and is a multi-authored volume, edited by Guido Deboeck, a leading exponent in the use of computational methods in financial and economic forecasting, and by the originator of SOM, Teuvo Kohonen. The book contains chapters on applications of unsupervised neural networks using Kohonen's self-organizing map approach.

Keywords

Finance Funds Investment financial markets networks patterns

Editors and affiliations

  • Guido Deboeck
    • 1
  • Teuvo Kohonen
    • 2
    • 3
  1. 1.ArlingtonUSA
  2. 2.Neural Networks Research CentreHelsinki University of TechnologyEspooFinland
  3. 3.Academy of Science of FinlandFinland

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4471-3913-3
  • Copyright Information Springer-Verlag London 1998
  • Publisher Name Springer, London
  • eBook Packages Springer Book Archive
  • Print ISBN 978-1-84996-999-4
  • Online ISBN 978-1-4471-3913-3
  • Series Print ISSN 1616-0533
  • Series Online ISSN 2195-0687
  • Buy this book on publisher's site