Computational Intelligence in Economics and Finance Volume II /
Computational intelligence (CI), as an alternative to statistical and econometric approaches, has been applied to a wide range of economics and finance problems in recent years, for example to price forecasting and market efficiency. This book contains research ranging from applications in financial...
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| Other Authors: | , |
| Language: | English |
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Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2007.
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| Edition: | 1st ed. 2007. |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/978-3-540-72821-4 |
Table of Contents:
- 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.