Overnight information and anomalies
Jun Xie,
Wenqian Xia and
Bin Gao
Research in International Business and Finance, 2025, vol. 78, issue C
Abstract:
We explore the connections between the U.S. market and overnight anomalies in China's A-share market to test whether overnight information influences overnight anomalies. By univariate and bivariate portfolio analysis, panel regression and Fama-Macbeth regression, we find that overnight anomalies in China's A-share market can persist for up to 1, 3, 6, and 12 months. Furthermore, the impact of overnight overall information measured in terms of U.S. stock returns on overnight anomalies in China's A-share is asymmetric with a weaker negative correlation between overnight returns and subsequent intraday returns, while the positive correlation between overnight returns and future overnight returns is unaffected. Conversely, irrational information measured in terms of U.S. stock sentiment weakens the negative correlation between overnight returns and future intraday returns and significantly reinforces the positive correlation between overnight returns and future overnight returns.
Keywords: Overnight returns; Intraday returns; U.S. investor sentiment; U.S. stock returns (search for similar items in EconPapers)
JEL-codes: G12 G23 (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0275531925002752
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:riibaf:v:78:y:2025:i:c:s0275531925002752
DOI: 10.1016/j.ribaf.2025.103019
Access Statistics for this article
Research in International Business and Finance is currently edited by T. Lagoarde Segot
More articles in Research in International Business and Finance from Elsevier
Bibliographic data for series maintained by Catherine Liu ().