Natural Computing in Computational Finance : Volume 4

This book follows on from Natural Computing in Computational Finance  Volumes I, II and III.   As in the previous volumes of this series, the  book consists of a series of  chapters each of  which was selected following a rigorous, peer-reviewed, selection process.  The chapters illustrate the appli...

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Guardat en:
Dades bibliogràfiques
Autor principal: Brabazon, Anthony (Editor)
Altres autors: O'Neill, Michael (Editor), Maringer, Dietmar (Editor), O'Neill, Michael, 1975- (Editor)
Format: Livre numérique
Idioma:Anglais
Publicat: Berlin, Heidelberg : Springer Berlin Heidelberg [20..].
Cham : Springer Nature
Edició:1st ed. 2012.
Col·lecció:Studies in Computational Intelligence 380
Matèries:
Accés en línia:Accès sur la plateforme de l'éditeur
Accès sur la plateforme Istex
Accès Université d'Orléans
Accès INSA CVL
Nota: L'impression du document génère 203 p.
Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
Autres localisations: Voir dans le Sudoc
Edition sous un autre format:• Natural Computing in Computational Finance, Texte imprimé, 9783642233371
• Natural Computing in Computational Finance, Texte imprimé, 9783642233357
• Natural Computing in Computational Finance, Texte imprimé, 9783662519981
• Natural Computing in Computational Finance, Texte imprimé, 9783642233371
• Natural Computing in Computational Finance, Texte imprimé, 9783642233357
• Natural Computing in Computational Finance, Texte imprimé, 9783662519981
Taula de continguts:
  • 1 Natural Computing in Computational Finance (Volume 4): Introduction 2 Calibrating Option Pricing Models with Heuristics 3 A Comparison Between Nature-Inspired and Machine Learning Approaches to Detecting Trend Reversals in Financial Time Series 4 A soft computing approach to enhanced indexation 5 Parallel Evolutionary Algorithms for Stock Market Trading Rule Selection on Many-Core Graphics Processors 6 Regime-Switching Recurrent Reinforcement Learning in Automated Trading 7 An Evolutionary Algorithmic Investigation of US Corporate Payout Policy Determination 8 Tackling Overfitting in Evolutionary-driven Financial Model Induction 9 An Order-Driven Agent-Based Artificial Stock Market to Analyze Liquidity Costs of Market Orders in the Taiwan Stock Market 10 Market Microstructure: A Self-Organizing Map Approach to Investigate Behavior Dynamics under an Evolutionary Environment