Agent-Based Modeling : The Santa Fe Institute Artificial Stock Market Model Revisited

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.

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Year of publication:	2008
Authors:	Ehrentreich, Norman
Other Persons:	Künzi, H. P (contributor) ; Fandel, G (contributor)
Publisher:	Berlin, Heidelberg : Springer
Subject:	Prognosemarkt \| Prediction market \| Finanzmarkt \| Financial market \| Agentenbasierte Modellierung \| Agent-based modeling \| Theorie \| Theory \| USA \| United States \| Kapitalmarkteffizienz \| Technische Aktienanalyse \| Aktienmarkt \| Mehragentensystem \| Evolutionärer Algorithmus
Description of contents:	Description [zbmath.org]

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Extent:	1 online resource (244 pages)
Series:	Lecture Notes in Economics and Mathematical Systems Ser. ; v.602 Lecture Notes in Economics and Mathematical Systems Ser ; v.602 Lecture notes in economics and mathematical systems ; 602
Type of publication:	Book / Working Paper
Language:	English
Notes:	Description based on publisher supplied metadata and other sources.
ISBN:	978-3-540-73879-4 ; 978-3-540-73878-7
Classification:	Methoden und Techniken der Volkswirtschaft
Source:	ECONIS - Online Catalogue of the ZBW

Persistent link: https://www.econbiz.de/10012685069