Vorliegende Sprache |
eng |
Hinweise auf parallele Ausgaben |
274311488 Buchausg. u.d.T.: ‡Ehrentreich, Norman: Agent-based modeling |
ISBN |
978-3-540-73878-7 |
Name |
Ehrentreich, Norman |
T I T E L |
Agent-Based Modeling |
Zusatz zum Titel |
The Santa Fe Institute Artificial Stock Market Model Revisited |
Verlagsort |
Berlin, Heidelberg |
Verlag |
Springer-Verlag Berlin Heidelberg |
Erscheinungsjahr |
2008 |
2008 |
Umfang |
Online-Ressource (digital) |
Reihe |
SpringerLink. Bücher |
Notiz / Fußnoten |
Literaturverz. S. 195 - 225 |
Weiterer Inhalt |
Front Matter; Introduction; The Rationale for Agent-Based Modeling; The Concept of Minimal Rationality; Learning in Economics; Replicating the Stylized Facts of Financial Markets; The Original Santa Fe Institute Artificial Stock Market; A Suggested Modification to the SFI-ASM; An Analysis of Wealth Levels; Selection, Genetic Drift, and Technical Trading; Summary and Future Research; Appendix; Back Matter |
Titelhinweis |
Buchausg. u.d.T.: ‡Ehrentreich, Norman: Agent-based modeling |
ISBN |
ISBN 978-3-540-73879-4 |
Klassifikation |
KCBM |
KCLF |
BUS027000 |
*91B26 |
91-02 |
332 |
330.1 |
330 |
HG1-9999 |
QH 720 |
Kurzbeschreibung |
This book reconciles the existence of technical trading with the Efficient Market Hypothesis. By analyzing a well-known agent-based model, the Santa Fe Institute Artificial Stock Market (SFI-ASM), it finds that when selective forces are weak, financial evolution cannot guarantee that only the fittest trading rules will survive. Its main contribution lies in the application of standard results from population genetics which have widely been neglected in the agent-based community. |
2. Kurzbeschreibung |
This book reconciles the existence of technical trading with the Efficient Market Hypothesis. By analyzing a well-known agent-based model, the Santa Fe Institute Artificial Stock Market (SFI-ASM), it finds that when selective forces are weak, financial evolution cannot guarantee that only the fittest trading rules will survive.Its main contribution lies in the application of standard results from population genetics which have widely been neglected in the agent-based community. This has led to various misinterpretations of previous simulation results. The book is able to finally establish the emergence of technical trading for faster learning speeds in the SFI-ASM beyond a doubt. In emphasizing the importance of genetic drift as an important evolutionary factor and analyzing its effects on various mutation operators, this book provides agent-based modelers with several tools to design better evolutionary algorithms. |
1. Schlagwortkette |
Kapitalmarkteffizienz |
Technische Aktienanalyse |
1. Schlagwortkette ANZEIGE DER KETTE |
Kapitalmarkteffizienz -- Technische Aktienanalyse |
2. Schlagwortkette |
Aktienmarkt |
Mehragentensystem |
Evolutionärer Algorithmus |
SWB-Titel-Idn |
276337298 |
Signatur |
Springer E-Book |
Bemerkungen |
Elektronischer Volltext - Campuslizenz |
Elektronische Adresse |
$uhttp://dx.doi.org/10.1007/978-3-540-73879-4 |
Internetseite / Link |
Volltext |
Siehe auch |
Volltext |
Siehe auch |
Inhaltsverzeichnis |
Siehe auch |
Cover |
Siehe auch |
Inhaltstext |