Firm-specific investor sentiment for the Chinese stock market
Yan Li and
Weiping Li
Economic Modelling, 2021, vol. 97, issue C, 231-246
Abstract:
Investor sentiment plays a significant role in asset prices, and sieves out safer and speculative stocks, and captures institutional and retail investors’ demand shocks. Previous studies focus on the effects of investor sentiment in the developed stock markets using various sentiment metrics. We propose overnight and over-weekend returns as firm-specific investor sentiment (FSIS) to reflect retail investors’ beliefs about the developing Chinese stock market, and show that FSIS has short-term persistence, a negative relation with intraday returns and price impact, a U-shaped relation with trading activity, an inverse U-shaped relation with long-run performance and a positive impact on cross-sectional returns. FSIS captures the characteristics of the Chinese stock market with short-selling constraints, and market-level information of FSIS explains risk premiums from sentiment-driven mispricing. Our results also reflect the stronger-self remediability after the 2015 crash of the Chinese stock market.
Keywords: Firm-specific investor sentiment; Overnight returns; Intraday return; Liquidity; Stock long-run performance; Cross-sectional stock returns; Sentiment-driven mispricing (search for similar items in EconPapers)
JEL-codes: G12 G14 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (13)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0264999321000146
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:ecmode:v:97:y:2021:i:c:p:231-246
DOI: 10.1016/j.econmod.2021.01.006
Access Statistics for this article
Economic Modelling is currently edited by S. Hall and P. Pauly
More articles in Economic Modelling from Elsevier
Bibliographic data for series maintained by Catherine Liu ().