Catálogo de publicaciones - libros
Nonlinear Dynamics and Heterogeneous Interacting Agents
Thomas Lux ; Eleni Samanidou ; Stefan Reitz (eds.)
Resumen/Descripción – provisto por la editorial
No disponible.
Palabras clave – provistas por la editorial
No disponibles.
Disponibilidad
| Institución detectada | Año de publicación | Navegá | Descargá | Solicitá |
|---|---|---|---|---|
| No detectada | 2005 | SpringerLink |
Información
Tipo de recurso:
libros
ISBN impreso
978-3-540-22237-8
ISBN electrónico
978-3-540-27296-0
Editor responsable
Springer Nature
País de edición
Reino Unido
Fecha de publicación
2005
Información sobre derechos de publicación
© Springer-Verlag Berlin Heidelberg 2005
Cobertura temática
Tabla de contenidos
Fraudulent Agents in an Artificial Financial Market
Enrico Scalas; Silvano Cincotti; Christian Dose; Marco Raberto
The problem of insider trading and other illegal practices in financial markets is an important issue in the field of financial regulatory policies. Market control bodies, such as the US SEC or the Italian CONSOB [1], regularly perform statistical analyses on security prices in order to unveil clues of fraudulent behaviour within the market. Fraudulent behaviour is connected to the more general problem of information asymmetries, which had already been addressed in the field of experimental economics (see, for instance, refs. [2, 3, 4]). Recently, interesting conclusions were drawn thanks to a computer-simulated market at MIT where agents had different pieces of information about the future dividend cash flow of exchanged securities [5]. In particular, in the MIT simulated market, the intelligent agents can replicate various findings of human-based experiments. Here, by means of an agent-based artificial market: the Genoa Artificial Stock Market (GASM) [6, 7], the more specific problem of fraudulent behavi our in a financial market is studied. A simplified model of fraudulent behaviour is implemented.
Part V - Asset Price Dynamics | Pp. 317-326