2007

Computational Intelligence in Economics and Finance

Volume II

Editors:

ISBN: 978-3-540-72820-7 (Print) 978-3-540-72821-4 (Online)

Table of contents (13 chapters)

  1. Front Matter

    Pages I-XIII

  2. No Access

    Book Chapter

    Pages 1-23

    Computational Intelligence in Economics and Finance: Shifting the Research Frontier

  3. No Access

    Book Chapter

    Pages 25-61

    An Overview of Insurance Uses of Fuzzy Logic

  4. No Access

    Book Chapter

    Pages 63-74

    Forecasting Agricultural Commodity Prices using Hybrid Neural Networks

  5. No Access

    Book Chapter

    Pages 75-92

    Nonlinear Principal Component Analysis for Withdrawal from the Employment Time Guarantee Fund

  6. No Access

    Book Chapter

    Pages 93-105

    Estimating Female Labor Force Participation through Statistical and Machine Learning Methods: A Comparison

  7. No Access

    Book Chapter

    Pages 107-121

    An Application of Kohonen’s SOFM to the Management of Benchmarking Policies

  8. No Access

    Book Chapter

    Pages 123-134

    Trading Strategies Based on K-means Clustering and Regression Models

  9. No Access

    Book Chapter

    Pages 135-143

    Comparison of Instance-Based Techniques for Learning to Predict Changes in Stock Prices

  10. No Access

    Book Chapter

    Pages 145-155

    Application of an Instance Based Learning Algorithm for Predicting the Stock Market Index

  11. No Access

    Book Chapter

    Pages 157-168

    Evaluating the Efficiency of Index Fund Selections Over the Fund’s Future Period

  12. No Access

    Book Chapter

    Pages 169-182

    Failure of Genetic-Programming Induced Trading Strategies: Distinguishing between Efficient Markets and Inefficient Algorithms

  13. No Access

    Book Chapter

    Pages 183-208

    Nonlinear Goal-Directed CPPI Strategy

  14. No Access

    Book Chapter

    Pages 209-223

    Hybrid-Agent Organization Modeling: A Logical-Heuristic Approach

  15. Back Matter

    Pages 225-227