Computational Intelligence in Economics And Finance Volume II 1st Edition by Shu Heng Chen, Paul Wang, Tzu Wen Kuo 3540728201 9783540728207

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ISBN 10: 3540728201

ISBN 13: 9783540728207

Author: Shu Heng Chen, Paul P. Wang, Tzu-Wen Kuo

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 markets and business administration to various economics problems. Not only are empirical studies utilizing various CI algorithms presented, but so also are theoretical models based on computational methods. In addition to direct applications of computational intelligence, readers can also observe how these methods are combined with conventional analytical methods such as statistical and econometric models to yield preferred results. Chen, Wang, and Kuo have grouped the 12 contributions following their introductory chapter into applications of fuzzy logic, neural networks (including self-organizing maps and support vector machines), and evolutionary computation. All chapters were selected either by invitation or based on a careful selection and extension of best papers from the International Workshop on Computational Intelligence in Economics and Finance in 2005. Overall, the book offers researchers an excellent overview of current advances and applications of computational intelligence techniques to economics and finance problems.

Computational Intelligence in Economics And Finance Volume II 1st Table of contents:

Shifting the Research Frontier

Insurance and Fuzzy Logic

Forecasting Commodity Prices

Employment Time Guarantee Fund Analysis

Female Labor Force Participation

Benchmarking Policies

Trading Strategies

Stock Price Prediction

Market Index Forecasting

Index Fund Efficiency

Genetic Programming in Trading

Nonlinear CPPI Strategies

Hybrid-Agent Models

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