Measuring the informativeness of earnings announcements: The role of event windows
Somnath Das and
Alexander Z. King
The Quarterly Review of Economics and Finance, 2021, vol. 82, issue C, 350-367
Abstract:
This paper examines the informativeness of earnings announcements by focusing on the role of event windows within which the information content is measured. This focus on event windows is primarily motivated by recent trends towards the announcement of earnings during after-market hours. It is also motivated by a lack of any systematic and rigorous investigation into the length of the event window in which the informativeness of earnings is maximal. Using the Ball and Shivakumar’s (2008) abnormal R-Sq, Beaver et al. (2020) USTAT and other metrics to measure the informativeness of earnings announcements, we document that the narrower one-day event windows exhibit greater information content. However, unlike Beaver et al. (2020), we show that asymmetric windows not centered around the announcement period are more informative. Specifically, we find that for the aggregate sample and for after-hours announcements, the window of the after-hours announcement period into the following trading day has the maximum information content compared to that of the traditional three-day window. However, for daytime announcements, the window of maximum information content includes only the announcement trading day. This novel insight, that the event window which maximizes the informativeness of earnings is a function of the timing of earnings’ announcements (during non-trading versus trading hours), even after using calibrated announcements, is a key takeaway of this paper.
Keywords: Abnormal R-Sq; Earnings announcements; Event window; Information content; Non-trading hours; Trading hours; USTAT (search for similar items in EconPapers)
JEL-codes: G10 G14 M40 M41 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S1062976921001526
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:quaeco:v:82:y:2021:i:c:p:350-367
DOI: 10.1016/j.qref.2021.09.006
Access Statistics for this article
The Quarterly Review of Economics and Finance is currently edited by R. J. Arnould and J. E. Finnerty
More articles in The Quarterly Review of Economics and Finance from Elsevier
Bibliographic data for series maintained by Catherine Liu ().