Modelling an artificial stock market: When cognitive institutions influence market dynamics
Author
Abstract
Suggested Citation
Download full text from publisher
More about this item
Keywords
artificial model; financial market; investors; cognitive institution; information; interactions; co-ordination; learning; speculative dynamic.;All these keywords.
JEL classification:
- B25 - Schools of Economic Thought and Methodology - - History of Economic Thought since 1925 - - - Historical; Institutional; Evolutionary; Austrian; Stockholm School
- B52 - Schools of Economic Thought and Methodology - - Current Heterodox Approaches - - - Historical; Institutional; Evolutionary; Modern Monetary Theory;
- C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
- D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
- D84 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Expectations; Speculations
- G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
- G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
NEP fields
This paper has been announced in the following NEP Reports:- NEP-CBE-2004-02-23 (Cognitive and Behavioural Economics)
- NEP-CMP-2004-02-23 (Computational Economics)
- NEP-FIN-2004-02-23 (Finance)
- NEP-FMK-2004-02-23 (Financial Markets)
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:grs:wpegrs:2004-04. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Vincent Frigant (email available below). General contact details of provider: https://edirc.repec.org/data/gressfr.html .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.