Ebook: Computational Intelligence in Economics and Finance
- Tags: Artificial Intelligence (incl. Robotics), Finance/Investment/Banking, Probability and Statistics in Computer Science, Computer Appl. in Administrative Data Processing, Game Theory Economics Social and Behav. Sciences, Quantitative Fina
- Series: Advanced Information Processing
- Year: 2004
- Publisher: Springer-Verlag Berlin Heidelberg
- Edition: 1
- Language: English
- pdf
Due to the ability to handle specific characteristics of economics and finance forecasting problems like e.g. non-linear relationships, behavioral changes, or knowledge-based domain segmentation, we have recently witnessed a phenomenal growth of 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 economics and finance problems like business forecasting, currency crisis discrimination, foreign exchange markets, or stock markets behavior.
Due to the ability to handle specific characteristics of economics and finance forecasting problems like e.g. non-linear relationships, behavioral changes, or knowledge-based domain segmentation, we have recently witnessed a phenomenal growth of 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 economics and finance problems like business forecasting, currency crisis discrimination, foreign exchange markets, or stock markets behavior.
Due to the ability to handle specific characteristics of economics and finance forecasting problems like e.g. non-linear relationships, behavioral changes, or knowledge-based domain segmentation, we have recently witnessed a phenomenal growth of 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 economics and finance problems like business forecasting, currency crisis discrimination, foreign exchange markets, or stock markets behavior.
Content:
Front Matter....Pages I-XXII
Front Matter....Pages 1-1
Computational Intelligence in Economics and Finance....Pages 3-55
Front Matter....Pages 57-57
Intelligent System to Support Judgmental Business Forecasting: the Case of Estimating Hotel Room Demand....Pages 59-92
Fuzzy Investment Analysis Using Capital Budgeting and Dynamic Programming Techniques....Pages 93-128
Rough Sets Theory and Multivariate Data Analysis in Classification Problems: a Simulation Study....Pages 129-147
Front Matter....Pages 149-149
Forecasting the Opening Cash Price Index in Integrating Grey Forecasting and Neural Networks: Evidence from the SGX-DT MSCI Taiwan Index Futures Contracts....Pages 151-170
A Support Vector Machine Model for Currency Crises Discrimination....Pages 171-181
Saliency Analysis of Support Vector Machines for Feature Selection in Financial Time Series Forecasting....Pages 182-199
Front Matter....Pages 201-201
Searching Financial Patterns with Self-organizing Maps....Pages 203-216
Effective Position of European Firms in the Face of Monetary Integration Using Kohonen’s SOFM....Pages 217-233
Financial Applications of Wavelets and Self-organizing Maps....Pages 234-249
Front Matter....Pages 251-251
Pattern Matching in Multidimensional Time Series....Pages 253-261
Structural Pattern Discovery in Time Series Databases....Pages 262-287
Are Efficient Markets Really Efficient?: Can Financial Econometric Tests Convince Machine-Learning People?....Pages 288-296
Nearest-Neighbour Predictions in Foreign Exchange Markets....Pages 297-325
Front Matter....Pages 327-327
Discovering Hidden Patterns with Genetic Programming....Pages 329-347
Numerical Solutions to a Stochastic Growth Model Based on the Evolution of a Radial Basis Network....Pages 348-357
Evolutionary Strategies vs. Neural Networks: an Inflation Forecasting Experiment....Pages 358-368
Business Failure Prediction Using Modified Ants Algorithm....Pages 369-386
Towards Automated Optimal Equity Portfolios Discovery in a Financial Knowledge Management System....Pages 387-402
Front Matter....Pages 403-403
White Noise Tests and Synthesis of APT Economic Factors Using TFA....Pages 405-419
Front Matter....Pages 403-403
Learning and Monetary Policy in a Spectral Analysis Representation....Pages 420-435
International Transmission of Business Cycles: a Self-organizing Markov-Switching State-Space Model....Pages 436-446
Front Matter....Pages 447-447
How Information Technology Creates Business Value in the Past and in the Current Electronic Commerce (EC) Era....Pages 449-466
Back Matter....Pages 467-480
Due to the ability to handle specific characteristics of economics and finance forecasting problems like e.g. non-linear relationships, behavioral changes, or knowledge-based domain segmentation, we have recently witnessed a phenomenal growth of 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 economics and finance problems like business forecasting, currency crisis discrimination, foreign exchange markets, or stock markets behavior.
Content:
Front Matter....Pages I-XXII
Front Matter....Pages 1-1
Computational Intelligence in Economics and Finance....Pages 3-55
Front Matter....Pages 57-57
Intelligent System to Support Judgmental Business Forecasting: the Case of Estimating Hotel Room Demand....Pages 59-92
Fuzzy Investment Analysis Using Capital Budgeting and Dynamic Programming Techniques....Pages 93-128
Rough Sets Theory and Multivariate Data Analysis in Classification Problems: a Simulation Study....Pages 129-147
Front Matter....Pages 149-149
Forecasting the Opening Cash Price Index in Integrating Grey Forecasting and Neural Networks: Evidence from the SGX-DT MSCI Taiwan Index Futures Contracts....Pages 151-170
A Support Vector Machine Model for Currency Crises Discrimination....Pages 171-181
Saliency Analysis of Support Vector Machines for Feature Selection in Financial Time Series Forecasting....Pages 182-199
Front Matter....Pages 201-201
Searching Financial Patterns with Self-organizing Maps....Pages 203-216
Effective Position of European Firms in the Face of Monetary Integration Using Kohonen’s SOFM....Pages 217-233
Financial Applications of Wavelets and Self-organizing Maps....Pages 234-249
Front Matter....Pages 251-251
Pattern Matching in Multidimensional Time Series....Pages 253-261
Structural Pattern Discovery in Time Series Databases....Pages 262-287
Are Efficient Markets Really Efficient?: Can Financial Econometric Tests Convince Machine-Learning People?....Pages 288-296
Nearest-Neighbour Predictions in Foreign Exchange Markets....Pages 297-325
Front Matter....Pages 327-327
Discovering Hidden Patterns with Genetic Programming....Pages 329-347
Numerical Solutions to a Stochastic Growth Model Based on the Evolution of a Radial Basis Network....Pages 348-357
Evolutionary Strategies vs. Neural Networks: an Inflation Forecasting Experiment....Pages 358-368
Business Failure Prediction Using Modified Ants Algorithm....Pages 369-386
Towards Automated Optimal Equity Portfolios Discovery in a Financial Knowledge Management System....Pages 387-402
Front Matter....Pages 403-403
White Noise Tests and Synthesis of APT Economic Factors Using TFA....Pages 405-419
Front Matter....Pages 403-403
Learning and Monetary Policy in a Spectral Analysis Representation....Pages 420-435
International Transmission of Business Cycles: a Self-organizing Markov-Switching State-Space Model....Pages 436-446
Front Matter....Pages 447-447
How Information Technology Creates Business Value in the Past and in the Current Electronic Commerce (EC) Era....Pages 449-466
Back Matter....Pages 467-480
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