Abstract
Behavioral theories predict that firm valuation dispersion in the cross-section ("dispersion") measures aggregate overpricing caused by investor overconfidence and should be negatively related to expected aggregate returns. This paper develops and tests these hypotheses. Consistent with the model predictions, I find that measures of dispersion are positively related to aggregate valuations, trading volume, idiosyncratic volatility, past market returns, and current and future investor sentiment indexes. Dispersion is a strong negative predictor of subsequent short- and long-term market excess returns. Market beta is positively related to stock returns when the beginning-of-period dispersion is low and this relationship reverses when initial dispersion is high. A simple forecast model based on dispersion significantly outperforms a naive model based on historical equity premium in out-of-sample tests and the predictability is stronger in economic downturns.
| Original language | English |
|---|---|
| Pages (from-to) | 3974-3992 |
| Number of pages | 19 |
| Journal | Journal of Banking and Finance |
| Volume | 37 |
| Issue number | 10 |
| DOIs | |
| State | Published - Oct 2013 |
Keywords
- Business cycle
- Dispersion
- Investor sentiment
- Overconfidence
- Return predictability
- Valuation ratios
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