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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Bibliographic Details
Other Authors: Brabazon, Anthony (Editor), O'Neill, Michael (Editor), Maringer, Dietmar (Editor)
Format: eBook
Language:English
Published: Berlin, Heidelberg Springer Berlin Heidelberg 2012, 2012
Edition:1st ed. 2012
Series:Studies in Computational Intelligence
Subjects:
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
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505 0 |a 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 
653 |a Computational intelligence 
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653 |a Computational Intelligence 
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653 |a Artificial intelligence 
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700 1 |a Maringer, Dietmar  |e [editor] 
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520 |a 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 application of a range of cutting-edge natural  computing and agent-based methodologies in computational finance and economics.  The applications explored include  option model calibration, financial trend reversal detection, enhanced indexation, algorithmic trading,  corporate payout determination and agent-based modeling of liquidity costs, and trade strategy adaptation.  While describing cutting edge applications, the chapters are  written so that they are accessible to a wide audience. Hence, they should be of interest  to academics, students and practitioners in the fields of computational finance and  economics.