Computational Intelligence in Economics and Finance

Computational Intelligence in Economics and Finance: Shifting the Research Frontier.- An Overview of Insurance Uses of Fuzzy Logic.- Forecasting Agricultural Commodity Prices using Hybrid Neural Networks.- Nonlinear Principal Component Analysis for Withdrawal from the Employment Time Guarantee Fund.- Estimating Female Labor Force Participation through Statistical and Machine Learning Methods: A Comparison.- An Application of Kohonen’s SOFM to the Management of Benchmarking Policies.- Trading Strategies Based on K-means Clustering and Regression Models.- Comparison of Instance-Based Techniques for Learning to Predict Changes in Stock Prices.- Application of an Instance Based Learning Algorithm for Predicting the Stock Market Index.- Evaluating the Efficiency of Index Fund Selections Over the Fund’s Future Period.- Failure of Genetic-Programming Induced Trading Strategies: Distinguishing between Efficient Markets and Inefficient Algorithms.- Nonlinear Goal-Directed CPPI Strategy.- Hybrid-Agent Organization Modeling: A Logical-Heuristic Approach.