Abstract
We argue that affect plays an important role in pricing models for stocks. We exploit a novel dataset of opinions shared on a social media platform to quantify the affect associated with stocks. We show that individual stock opinions collected from a social media platform systematically differ from other risk factors and qualify as an additional factor in asset pricing models. Stocks with high affect feature smaller risk premiums.
| Original language | English |
|---|---|
| Journal | Journal of Behavioral and Experimental Finance |
| Volume | 18 |
| Pages (from-to) | 76-84 |
| Number of pages | 9 |
| ISSN | 2214-6350 |
| DOIs | |
| Publication status | Published - 06.2018 |
Research areas and keywords
- Affect
- Asset pricing model
- Factor model
- Social media
- Stock returns
- Economics
- Management studies
ASJC Scopus Subject Areas
- Finance
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