Computational Intelligence in Economics and Finance

• Other Authors: Chen, Shu-Heng 1959- (edited), Wang, Paul P. (edited)
• Format: Book
• Language: English
• Published: Berlin New York, NY Springer 2004
• Series: Advanced information processing
• Subjects: Economics > Data processing; Finance > Data processing; Economics, Mathematical
• Online Access: Click Here to View Status and Holdings.

 Due to the ability to handle specific characteristics of economics and finance forecasting problems like, e.g., non-linear relationships, behavioural changes, or knowledge-based domain segmentation, we have recently witnessed a phenomenal growth in the application of computational intelligence methodologies in this field. In this volume, Chen and Wang collected not just works on traditional computational intelligence approaches like fuzzy logic, neural networks, and genetic algorithms but also examples for more recent technologies like, e.g., rough sets, support vector machines, wavelets, or ant algorithms. After an introductory chapter with a structural description of all the methodologies, the subsequent parts describe novel applications of these to typical economic and finance problems like business forecasting, currency crisis discrimination, foreign exchange markets, or stock market behaviour