A link between random coefficient autoregressive models and some agent based models
Authored by Mamadou Abdoulaye Konte
Date Published: 2011-05
DOI: 10.1007/s11403-010-0077-3
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Abstract
An agent based model (ABM), where each agent makes decisions by using the sum of two signals, is proposed. The first is related to the fundamental information while the second comes from trader's idiosyncratic noise. This model entails the switching between two groups called fundamentalist and noise traders. Additionally, if the price impact function is log-linear, then the dynamic of log asset prices belongs to the class of random coefficient autoregressive RCA(p) models, which are known to share important stylized facts of financial prices.
Tags
Artificial financial markets
RCA models