Stock markets are complex systems. Many autonomous agents interact through a mechanism know as "continuous double auction". They are sensitive to exogenous as well as endogenous influences, that can cause domino effects or avalanches, known as bubbles and crashes. Not only two-agent interactions are relevant, but also many-agent interactions cannot be neglected.
Agents playing in these markets are intelligent and try to manipulate the outcome. Recent results on asymmetric information, behavioural and experimental economics clearly show that the neoclassical paradigm of walsarian markets is not sufficient to describe every feature of real-world stock exchanges.
With this Database, our aim is to provide scholars an updated set of information on market architectures and rules. This should be helpful both for further studies on agent-based computer simulations (Boer-Sorban, de Bruin and Kaymak, 2005) and on analytical models (Hommes 2005).
* Market Architecture of the largest stock exchanges
* Market Architecture of selected Stock Exchanges of Emerging Markets
* List of the main Stock Exchanges
* Links
* Bibliography
* People [ join us | contribute ]
* GNU Free Documentation License
Copyright (c) 2005-2006 MAD - Team
Permission is granted to copy, distribute and/or modify this document under the terms of the GNU Free Documentation License, Version 1.2 or any later version published by the Free Software Foundation; with no Invariant Sections, no Front-Cover Texts, and no Back-Cover Texts. A copy of the license is included in the section entitled "GNU Free Documentation License".
