1.

Record Nr.

UNINA9910957909903321

Autore

Ehrentreich Norman

Titolo

Agent-based modeling : the Santa Fe Institute artificial stock market model revisited / / Norman Ehrentreich

Pubbl/distr/stampa

Berlin ; ; New York, : Springer, c2008

ISBN

9786611108083

9781281108081

1281108081

9783540738794

3540738797

Edizione

[1st ed. 2008.]

Descrizione fisica

1 online resource (244 p.)

Collana

Lecture notes in economics and mathematical systems, , 0075-8442 ; ; 602

Disciplina

330.1

Soggetti

Equilibrium (Economics) - Econometric models

Evolutionary economics

Financial engineering

Rational expectations (Economic theory)

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Description based upon print version of record.

Nota di bibliografia

Includes bibliographical references (p. [195]-225) and index.

Nota di contenuto

Agent-Based Modeling in Economics -- The Rationale for Agent-Based Modeling -- The Concept of Minimal Rationality -- Learning in Economics -- Replicating the Stylized Facts of Financial Markets -- The Santa Fe Institute Artificial Stock Market Model Revisited -- 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.

Sommario/riassunto

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