Visual Explorations in Finance

with Self-Organizing Maps

Guido Deboeck, Teuvo Kohonen

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English

Springer Verlag
01 June 1998

Finance; Mathematics & Sciences; Mathematical modelling; Computer science

Series: Springer Finance

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.

Edited by: Guido Deboeck, Teuvo Kohonen
Imprint: Springer Verlag
Country of Publication: Germany
Volume: 3674
Dimensions: Height: 235mm, Width: 155mm, Spine: 24mm
Weight: 699g
ISBN: 9783540762669
ISBN 10: 3540762663
Series: Springer Finance
Pages: 358
Publication Date: 01 June 1998
Audience: College/higher education , Professional and scholarly , Professional & Vocational , A / AS level , Further / Higher Education
Format: Paperback
Publisher's Status: Active

1: Applications.- 1 Let Financial Data Speak for Themselves.- 2 Projection of Long-term Interest Rates with Maps.- 3 Picking Mutual Funds with Self-Organizing Maps.- 4 Maps for Analyzing Failures of Small and Medium-sized Enterprises.- 5 Self-Organizing Atlas of Russian Banks.- 6 Investment Maps of Emerging Markets.- 7 A Hybrid Neural Network System for Trading Financial Markets.- 8 Real Estate Investment Appraisal of Land Properties using SOM.- 9 Real Estate Investment Appraisal of Buildings using SOM.- 10 Differential Patterns in Consumer Purchase Preferences using Self-Organizing Maps: A Case Study of China.- 2: Methodology, Tools and Techniques.- 11 The SOM Methodology.- 12 Self-Organizing Maps of Large Document Collections.- 13 Software Tools for Self-Organizing Maps.- 14 Tips for Processing and Color-coding of Self-Organizing Maps.- 15 Best Practices in Data Mining using Self-Organizing Maps.- Notes.- Author Index.