Investor Attention, Overconfidence and Category Learning
53 Pages Posted: 26 May 2005
There are 3 versions of this paper
Investor Attention, Overconfidence and Category Learning
Investor Attention: Overconfidence and Category Learning
Investor Attention, Overconfidence and Category Learning
Date Written: May 29, 2005
Abstract
Motivated by psychological evidence that attention is a scarce cognitive resource, we model investors' attention allocation in learning and study the effects of this on asset-price dynamics. We show that limited investor attention leads to category-learning behavior, i.e., investors tend to process more market and sector-wide information than firm-specific information. This endogenous structure of information, when combined with investor overconfidence, generates important features observed in return comovement that are otherwise difficult to explain with standard rational expectations models. Our model also demonstrates new cross-sectional implications for return predictability.
Keywords: Limited attention, category effects, behavioral biases, comovement, return predictability
JEL Classification: G12, G14
Suggested Citation: Suggested Citation
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