2022/02 | LEM Working Paper Series | ||||||||||||||||
Strategically biased learning in market interactions |
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Giulio Bottazzi and Daniele Giachini |
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Keywords | |||||||||||||||||
Learning, Strategic interaction, Behavioral Bias, Financial Markets
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JEL Classifications | |||||||||||||||||
C60, D53, D81, D83, G11, G12
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Abstract | |||||||||||||||||
We consider a market economy where two rational agents are able to
learn the distribution of future events. In this context, we study whether
moving away from the standard Bayesian belief updating, in the sense of
under-reaction to some degree to new information, may be strategically
convenient for traders. We show that, in equilibrium, strong under-reaction
occurs, thus rational agents may strategically want to bias their learning
process. Our analysis points out that the underlying mechanism driving
ex-ante strategical decisions is diversity seeking. Finally, we show that, even if
robust with respect to strategy selection, strong under-reaction can generate
low realized welfare levels because of a long transient phase in which the
agent makes poor predictions.
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