SimStockExchange is a multi-agent simulation model used to simulate trading behaviour and investigate stock market dynamics. It allows a user set up a given number of stocks and agents, the agents will then be able to trade stocks between themselves following certain rules. The agents' behaviour will be determined by a number of parameters, such as wealth, confidence and risk recuding strategies.
The goal of the SimStockExchange model is to replicate real-world stock market dynamics by investigating possible key elements affecting stock traders' behaviour. A key goal is to model micro-level investor behavior, to generate macro-level stock market dynamics, studying the micro-macro link.
The SimStockExchange model is currently being developed at the University of Groningen, The Netherlands.
For a recent paper using the model, please see: Hoffmann, A.O.I., Jager, Wander and von Eije, J. Henk, "Combining Empirical Data with Multi Agent Social Simulation: Investigating Micro - Macro Links in Stock Markets" (April 2006). Available at SSRN: http://ssrn.com/abstract=898826
You can download the executable version (Microsoft Windows only) of the model here. The model executable does not require any installation and can be made to run simply by double-clicking on the file.
To run the SimStockExchange simulation model, a computer with Java 1.4 runtime environment or higher installed is required. If you do not have Java installed, you can obtain it by downloading it from the official Java download page. We recommend a computer with at least a 500MHz processor and 256GB of memory, a faster computer will also bring with it higher simulation speeds. Especially simulation with a large number of stocks and/or agents, a faster computer with more memory (1GB or more) will be highly beneficial.