Investor Sentiment and the Pricing of Characteristics-Based Factors

成果类型:
Article
署名作者:
Chen, Zhuo; Liu, Bibo; Wang, Huijun; Wang, Zhengwei; Yu, Jianfeng
署名单位:
Tsinghua University; Auburn University System; Auburn University; Hong Kong University of Science & Technology
刊物名称:
REVIEW OF FINANCIAL STUDIES
ISSN/ISSBN:
0893-9454; 1465-7368
DOI:
10.1093/rfs/hhaf053
发表日期:
2025-12
页码:
3580-3625
关键词:
G12 mutual fund performance cross-section SHORT-SALES consumer confidence STOCK MARKET RISK restrictions arbitrage predictability
摘要:
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.
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