Natural Computing in Computational Finance

This book consists of eleven 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-basedmethodologies in computational finance and economics. While describing cutting...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Brabazon, Anthony (Επιμελητής έκδοσης), O’Neill, Michael (Επιμελητής έκδοσης), Maringer, Dietmar G. (Επιμελητής έκδοσης)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2010.
Σειρά:Studies in Computational Intelligence, 293
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • Natural Computing in Computational Finance (Volume 3): Introduction
  • Natural Computing in Computational Finance (Volume 3): Introduction
  • I: Financial and Agent-Based Models
  • Robust Regression with Optimisation Heuristics
  • Evolutionary Estimation of a Coupled Markov Chain Credit Risk Model
  • Evolutionary Computation and Trade Execution
  • Agent-Based Co-operative Co-evolutionary Algorithms for Multi-objective Portfolio Optimization
  • Inferring Trader’s Behavior from Prices
  • II: Dynamic Strategies and Algorithmic Trading
  • Index Mutual Fund Replication
  • Frequent Knowledge Patterns in Evolutionary Decision Support Systems for Financial Time Series Analysis
  • Modeling Turning Points in Financial Markets with Soft Computing Techniques
  • Evolutionary Money Management
  • Interday and Intraday Stock Trading Using Probabilistic Adaptive Mapping Developmental Genetic Programming and Linear Genetic Programming.