Abstract

Based on a classical financial market model we discuss three model variants, each focusing on a different approach in the formation of (heterogeneous) beliefs about future asset prices: the concept of Consistent Expectations, the concept of Adaptive Belief Systems, and artificial financial markets, where beliefs (or expectations) are formed by Classifier Systems. We analyze the consequences of these different mechanisms of expectations formation on the equilibrium dynamics of asset prices and compare statistical properties of returns generated by these models with the characteristics of real world time series.

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