An agent market model using evolutionary game theory,
B. S. Montin, C. A. Nolder
Stock price fluctuations result from interactions between economic agents. Modelling the financial world as a complex self-organizing system is thus natural. To keep tractability, obtain theoretical results and develop our intuition about complexity economics, we have constructed a very simple artificial stock market. Despite its necessary over-simplification, our model is rich enough to offer interesting results about limit behavior and suggests monetary policies. Our multi-agent model also exhibits real world features that more traditional financial models usually fail to explain or consider.