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...
Συγγραφή απο Οργανισμό/Αρχή: | |
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Άλλοι συγγραφείς: | , , |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
Berlin, Heidelberg :
Springer Berlin Heidelberg,
2010.
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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.