Stock price reactivity to earnings announcements: the role of the Cammer/Krogman factors
O. Miguel Villanueva () and
Steven Feinstein ()
Additional contact information
O. Miguel Villanueva: Boston University – MET
Steven Feinstein: Crowninshield Financial Research, Inc.
Review of Quantitative Finance and Accounting, 2021, vol. 57, issue 1, No 7, 203-234
Abstract:
Abstract The stock characteristics often used in securities litigation to assess market efficiency are dispositive indicators of reactivity to earnings announcements. Stocks with large capitalization, high trading volume, broad analyst coverage, a large number of market makers, and narrow bid-ask spread are far more likely to react significantly to earnings announcements than stocks without these characteristics. Univariate and multivariate tests compel this conclusion, but provide weaker evidence for analyst coverage.
Keywords: Earnings announcements; Cammer/Krogman factors; Securities litigation; Logit regression; Stock price reactivity; Market efficiency (search for similar items in EconPapers)
JEL-codes: G14 G18 K22 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://link.springer.com/10.1007/s11156-020-00943-4 Abstract (text/html)
Access to full text is restricted to subscribers.
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:kap:rqfnac:v:57:y:2021:i:1:d:10.1007_s11156-020-00943-4
Ordering information: This journal article can be ordered from
http://www.springer.com/finance/journal/11156/PS2
DOI: 10.1007/s11156-020-00943-4
Access Statistics for this article
Review of Quantitative Finance and Accounting is currently edited by Cheng-Few Lee
More articles in Review of Quantitative Finance and Accounting from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().