Biologically Inspired Algorithms for Financial Modelling

Authors:

ISBN: 978-3-540-26252-7 (Print) 978-3-540-31307-6 (Online)

Table of contents (21 chapters)

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  1. Introduction

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      Book Chapter

      Pages 1-11

      Introduction

  2. Methodologies

    1. Front Matter

      Pages 13-13

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      Book Chapter

      Pages 15-36

      Neural Network Methodologies

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      Book Chapter

      Pages 37-71

      Evolutionary Methodologies

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      Book Chapter

      Pages 73-88

      Grammatical Evolution

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      Book Chapter

      Pages 89-97

      The Particle Swarm Model

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      Book Chapter

      Pages 99-106

      Ant Colony Models

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      Book Chapter

      Pages 107-118

      Artificial Immune Systems

  3. Model Development

    1. Front Matter

      Pages 119-119

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      Book Chapter

      Pages 121-142

      Model Development Process

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      Book Chapter

      Pages 143-155

      Technical Analysis

  4. Case Studies

    1. Front Matter

      Pages 157-157

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      Book Chapter

      Pages 159-160

      Overview of Case Studies

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      Book Chapter

      Pages 161-173

      Index Prediction Using MLPs

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      Book Chapter

      Pages 175-182

      Index Prediction Using a MLP-GA Hybrid

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      Book Chapter

      Pages 183-192

      Index Trading Using Grammatical Evolution

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      Book Chapter

      Pages 193-201

      Adaptive Trading Using Grammatical Evolution

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      Book Chapter

      Pages 203-210

      Intra-day Trading Using Grammatical Evolution

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      Book Chapter

      Pages 211-218

      Automatic Generation of Foreign Exchange Trading Rules

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      Book Chapter

      Pages 219-228

      Corporate Failure Prediction Using Grammatical Evolution

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      Book Chapter

      Pages 229-238

      Corporate Failure Prediction Using an Ant Model

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      Book Chapter

      Pages 239-248

      Bond Rating Using Grammatical Evolution

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      Book Chapter

      Pages 249-253

      Bond Rating Using AIS

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