Earnings Quality and Trading Volume Reactions Around Earnings Announcements: International Evidence

Autor: Jeff Zeyun Chen, Siu Kai Choy, Gerald J. Lobo, Ying Zheng
Rok vydání: 2022
Předmět:
Zdroj: Journal of Accounting, Auditing & Finance. :0148558X2211177
ISSN: 2160-4061
0148-558X
DOI: 10.1177/0148558x221117722
Popis: Using a cross-country setting, we document differences in the relation between earnings quality and the two components of trading volume around earnings announcements, one related to differential interpretation of the earnings signal and the other related to pre-event differential information precision. We find that in countries with stronger investor protection, less corrupt governments, and more liquid stock markets, a noisier earnings signal increases differential interpretation of the earnings signal but decreases investors’ incentive for information acquisition before earnings announcements, leading to lower pre-event differential information precision. However, these trading patterns flip in countries with weaker investor protection, more corrupt governments, and less liquid stock markets. We also find that institutional investors in countries with stronger institutions are likely to benefit more from their superior information processing skills, leading to more information acquisition both at and before earnings announcements. Overall, our study adds to the literature by documenting significant cross-country variations in investors’ trading volume reactions to earnings quality.
Databáze: OpenAIRE