Biologically Inspired Algorithms for Financial Modelling

Predicting the future for financial gain is a difficult, sometimes profitable activity. The focus of this book is the application of biologically inspired algorithms (BIAs) to financial modelling. In a detailed introduction, the authors explain computer trading on financial markets and the difficult...

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Bibliographic Details
Call Number:Libro Electrónico
Main Authors: Brabazon, Anthony (Author), O'Neill, Michael (Author)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:Inglés
Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2006.
Edition:1st ed. 2006.
Series:Natural Computing Series,
Subjects:
Computer science.
Finance.
Computer simulation.
Social sciences-Mathematics.
Operations research.
Application software.
Theory of Computation.
Financial Economics.
Computer Modelling.
Mathematics in Business, Economics and Finance.
Operations Research and Decision Theory.
Computer and Information Systems Applications.
Online Access:Texto Completo
Table of Contents:
  • Methodologies
  • Neural Network Methodologies
  • Evolutionary Methodologies
  • Grammatical Evolution
  • The Particle Swarm Model
  • Ant Colony Models
  • Artificial Immune Systems
  • Model Development
  • Model Development Process
  • Technical Analysis
  • Case Studies
  • Overview of Case Studies
  • Index Prediction Using MLPs
  • Index Prediction Using a MLP-GA Hybrid
  • Index Trading Using Grammatical Evolution
  • Adaptive Trading Using Grammatical Evolution
  • Intra-day Trading Using Grammatical Evolution
  • Automatic Generation of Foreign Exchange Trading Rules
  • Corporate Failure Prediction Using Grammatical Evolution
  • Corporate Failure Prediction Using an Ant Model
  • Bond Rating Using Grammatical Evolution
  • Bond Rating Using AIS
  • Wrap-up.

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