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Modelling Stock Returns with AR-GARCH Processes⋆

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The picture of the market that results from our experiments, surprisingly, confirms both the efficient- market academic view and the traders’ view. But each is valid under different circumstances—in different regimes. In both circumstances, we initiate our traders with heterogeneous beliefs clustered randomly in an interval near homogeneous rational expectations. We find that if our agents adapt their forecasts very slowly to new observations of the market’s behavior, the market converges to a rational-expectations regimes. Here “mutant” expectations cannot get a profitable footing; and technical trading, bubbles, crashes, and autocorrelative behavior do not emerge. Trading volume remains low. The efficient-market theory prevails....
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Modelling Stock Returns with AR-GARCH Processes⋆

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