Determinants and consequences of information processing delay: Evidence from the Thomson Reuters Institutional Brokers’ Estimate System
Ferhat Akbas,
Stanimir Markov,
Musa Subasi and
Eric Weisbrod
Journal of Financial Economics, 2018, vol. 127, issue 2, 366-388
Abstract:
We present new evidence that highlights the role of information intermediaries in the distribution and processing of earnings estimates in capital markets. We find that the time taken to activate an analyst's earnings forecast in the Thomson Reuters Institutional Brokers’ Estimate System is related to measures of investor demand for timely information processing, processing difficulty, and limited attention. Furthermore, we find that forecast announcement returns are muted and post-announcement drift is magnified for forecasts with longer unexpected activation delay and that market inefficiency is concentrated in neglected stocks and potentially exploitable. Finally, analyzing intraday returns, we find that activations facilitate price discovery.
Keywords: Information intermediaries; information processing; limited attention; information distribution; price discovery (search for similar items in EconPapers)
JEL-codes: G14 G23 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (10)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0304405X17302933
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:jfinec:v:127:y:2018:i:2:p:366-388
DOI: 10.1016/j.jfineco.2017.11.005
Access Statistics for this article
Journal of Financial Economics is currently edited by G. William Schwert
More articles in Journal of Financial Economics from Elsevier
Bibliographic data for series maintained by Catherine Liu ().