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Computational Intelligence in Economics and Finance

	Computational Intelligence In Economics And Finance by Shu-Heng Chen
	Price : Rs 995.00
	Your Price : Rs 895.50

We have recently witnessed a phenomenal growth in the application of computational intelligence methodologies to forecasting problems in economics and finance, because of their ability to handle specific characteristics such as nonlinear relationships, behavioral changes, and knowledge based segmentation.

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 involving more recent technologies such as rough sets, support vector machines, wavelets, and stock market behaviors.

Table of Contents

Part I:
Introduction: Computational Intelligence in Economics and Finance
Part II:
Fuzzy Logic and Rough Sets: Intelligent System to Support Judgemental Business Forecasting: the Case of Estimating Hotel Room Demand
Fuzzy Investment Analysis Using Capital Budgeting and Dynamic Programming Techniques
Rough Sets Theory and Multivariate Data Analysis in Classification Problems: a Simulation Study
Part III:
Artificial Neural Networks and Support Vector Machines: Forecasting the Opening Cash Price Index in Integrating Grey Forecasting and Neural Networks: Evidence from the SGX-DT MSCI Taiwan Index Futures Contracts
A Support Vector Model for Currency Crises Discrimination
Saliency Analysis of Support Vector Machines for Feature Selection in Financial Time Series Forecasting
Part IV:
Self-organizing Maps and Wavelets: Searching Financial Patterns with Self-organizing Maps
Effective Position of European Firms in the Face of Monetary Integration Using Kohonen\`s SOFM
Financial Applications of Wavelets and Self-organizing Maps
Part V:
Sequence Matching and Feature-Based Time Series Models: Pattern Matching in Multidimensional Time Series
Structural Pattern Discovery in Time Series Databases
Are Efficient Markets Really Efficient: Can Financial Econometric Tests Convince Machine-Learning People
Nearest-Neighbour Predictions in Foreign Exchange Markets
Part VI:
Evolutionary Computation, Swarm Intelligence and Simulated Annealing: Discovering Hidden Patterns with Genetic Programming
Numerical Solutions to a Stochastic Growth Model Based on the Evolution of a Radial Basis Network
Evolutionary Strategies vs. Neural Networks: an Inflation Forecasting Experiment
Business Failure Prediction Using Modified Ants Algorithm
Towards Automated Optimal Equity Portfolios Discovery in a Financial Knowledge Management System
Part VII:
State Space Modeling of Time Series: White Noise Tests and Synthesis of APT Economic Factors Using TFA
Learning and Monetary Policy in a Spectral Analysis Representation
International Transmission of Business Cycles: a Self-organizing Markov-Switching State-Space Model
Part VIII:
Agent-Based Models: How Information Technology Creates Business Value in the Past and in the Current Electronic Commerce (EC) EraISBN - 9788181285607

Pages : 504