Investor Sentiment and the Pricing of Characteristics-Based Factors
Abstract Previous research has revealed that return spreads between stocks with high and low characteristics-based factor beta remain insignificant. This study investigates the time variation in the pricing of various characteristics-based factors, uncovering a notable two-regime pattern: high-beta portfolios yield higher returns than low-beta portfolios after high-sentiment periods, while the opposite occurs after low-sentiment periods. Remarkably, this two-regime pattern is completely reversed for macro factors. Mutual fund and hedge fund returns corroborate these findings. Our results suggest that exposure to characteristics-based factors likely represents mispricing levels, particularly during high-sentiment periods, whereas exposure to macro factors likely represents risk, particularly during low-sentiment periods.
- DOI
- 10.1093/rfs/hhaf053
- Volume
- 38 (12)
- Pages
- 3580-3625
- Language
- en
- Export
- BibTeX
- Sources
- openalex crossref