Abstract
the behaviour 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 forecasts by searching the
business school whose evolution is driven by genetic
programming. Via these agent based simulations, it is
found that, except for some extreme cases, the mean
prices generated from these artificial markets deviate
from the homogeneous rational expectation equilibrium
(HREE) prices no more than by 20per cent. This figure
provides us a rough idea on how different we can
possibly be when the twin assumptions are not taken.
Furthermore, while the HREE price should be a
deterministic constant in all of our simulations, the
artificial price series generated exhibit quite wild
fluctuation, which may be coined as the well-known
excessive volatility in finance.
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