Learning and adaptation in decision making for complex problems
01 / 2007 - unknown
Most models developed within the growing field of agent-based modelling of financial markets are discrete time and synchronous. Most financial markets, however, are continuous (in the sense that traders can trade any time) and asynchronous (different actors operate autonomously without necessarily synchronising their activities). Hence, important aspects of financial markets are not captured by the current agent-based models. In this research, we will develop continuous, asynchronous agent-based models of financial markets to bridge the gap mentioned, by following a micro-simulation approach based on the roles of the actors in the financial markets and the specific organization (microstructure) thereof.