Multi-agent market modeling based on neural networks

Multi-agent, financial forecasting, neural networks, dynamical systems, market modeling, cognitive systems, econometrics. - One of the challenges of financial research is to develop models that are capable of explaining and forecasting market price movements and returns.Agent based models focus directly on the underlying structure of the market. The basic idea is, that the market price dynamics arises from the interaction of many individual agents. Approaching financial markets in this manner, one starts off with the modeling of the agents ́decision making schemes on the microeconomic level of the market. Thereafter, market price changes can be determined on the macroeconomic level by a superposition of the agents ́buying and selling decisions. The aim of a (micro-)economic model is ...