In this paper, we extend the classical model, originally built upon the representative agent and the Walrasian market-clearing mechanism, into its heterogeneous-agent and market maker extension, characterized by a market-maker trading mechanism with investors having heterogeneous beliefs of the...

In this paper, an agent-based computational capital asset pricing model is applied to address an issue, known as the elasticity puzzle, originating from a famous reciprocal relation between the elasticity of intertemporal substitution (EIS) and the relative risk aversion (RRA) coefficient. By...

Using the framework of agent-based artificial stock markets, this paper addresses the two well-known properties frequently observed in financial markets, namely, price-volume relation and sunspots, from a bottom-up perspective. In spirit of ``bottom-up'', these two phenomena are pursued in a...

Using GP with lambda abstraction module mechanism to generate technical trading rules based on S&P 500 index, we find strong evidence of excess returns over buy-and-hold after transaction cost on the testing period from 1989 to 2002. The rules can be interpreted easily; each uses a combination...

This paper studies the behavior of price discovery within a context of an agent based stock market in which the twin assumptions namely, rational expectations and the representative agents normally made in mainstream economics, are removed. In this model, traders stochastically update their...

In this paper, we will give a review on the development of artificial adaptive economic agents in evolutionary economics. The review starts from a 1986 paper by Robert Lucas, a Nobel Prize laureate in economics. From there, we shall see how the idea of economic adaptive agents was enriched and...

In this paper, we will give a review on the development of artificial adaptive economic agents in evolutionary economics. The review starts from a 1986 paper by Robert Lucas, a Nobel Prize laureate in economics. From there, we shall see how the idea of economic adaptive agents was enriched and...

From a computation-theoretic standpoint, this paper formalizes the notion of unpredictability in the efficient market hypothesis (EMH) by a biological-based search program, i.e., genetic programming (GP). This formalization differs from the traditional notion based on probabilistic independence...

The ability of accurate epidemic prediction facilitates early preparation for the disease and minimizes losses due to any strikes. We devised a platform on the Web for users to exchange their information/opinions on the possible avian flu outbreaks in Taiwan. The likelihood of the first human...