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...

Full description

Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Brabazon, Anthony (Editor), O’Neill, Michael (Editor), Maringer, Dietmar (Editor)
Format: Electronic eBook
Language:English
Published: Berlin, Heidelberg : Springer Berlin Heidelberg, 2012.
Series:Studies in Computational Intelligence, 380
Subjects:
Online Access:Full Text via HEAL-Link
Table of Contents:
  • 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.