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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 fittes...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Ehrentreich, Norman
Autor Corporativo: Santa Fe Institute (Santa Fe, N.M.)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin ; New York : Springer, ©2008.
Colección:Lecture notes in economics and mathematical systems ; 602.
Temas:
Acceso en línea:Texto completo
Descripción
Sumario: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.
Descripción Física:1 online resource (xvi, 230 pages) : illustrations
Bibliografía:Includes bibliographical references (pages 195-225) and index.
ISBN:9783540738794
3540738797
3540738789
9783540738787
ISSN:0075-8442 ;