PEAD.txt: Post-Earnings-Announcement Drift Using Text

Vitaly Meursault, Pierre Jinghong Liang, Bryan R. Routledge and Madeline Marco Scanlon

Journal of Financial and Quantitative Analysis, 2023, vol. 58, issue 6, 2299-2326

Abstract: We construct a new numerical measure of earnings announcement surprises, standardized unexpected earnings call text (SUE.txt), that does not explicitly incorporate the reported earnings value. SUE.txt generates a text-based post-earnings-announcement drift (PEAD.txt) larger than the classic PEAD. The magnitude of PEAD.txt is considerable even in recent years when the classic PEAD is close to 0. We explore our text-based empirical model to show that the calls’ news content is about details behind the earnings number and the fundamentals of the firm.

Date: 2023
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