Computational Intelligence in Economics and Finance Volume II /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Chen, Shu-Heng (Επιμελητής έκδοσης), Wang, Paul P. (Επιμελητής έκδοσης), Kuo, Tzu-Wen (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2007.
• Θέματα: Computer science.; Finance.; Artificial intelligence.; Application software.; Computer Science.; Artificial Intelligence (incl. Robotics).; Finance, general.; Computer Appl. in Administrative Data Processing.; Information Systems Applications (incl. Internet).

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...

Πίνακας περιεχομένων:

• 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.