The information externality of paid analysts
Albert Tsang and
Jihye Yoo
Asia-Pacific Journal of Accounting & Economics, 2025, vol. 32, issue 2, 278-298
Abstract:
Using a hand-collected dataset of paid analysts and their earnings forecasts, this study examines the role of paid analysts in capital markets. Paid analysts tend to make more accurate earnings forecasts for the industry counterparts of their paying companies, compared with their non-industry counterparts after they are paid for providing forecasting services. The positive effect of appointing a paid analyst on earnings forecast accuracy for non-paying companies in the same industry (relative to those not in the same industry) is stronger when the paying companies have a weaker information environment and for analysts who have less industry-specific knowledge. Together, the findings of this study support the conjecture that having access to the private information of paying companies creates a positive information externality that enhances paid analysts’ earnings forecasting performance for non-paying companies.
Date: 2025
References: Add references at CitEc
Citations:
Downloads: (external link)
http://hdl.handle.net/10.1080/16081625.2023.2298919 (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:taf:raaexx:v:32:y:2025:i:2:p:278-298
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/raae20
DOI: 10.1080/16081625.2023.2298919
Access Statistics for this article
Asia-Pacific Journal of Accounting & Economics is currently edited by Yin-Wong Cheung, Hong Hwang, Jeong-Bon Kim, Shu-Hsing Li and Suresh Radhakrishnan
More articles in Asia-Pacific Journal of Accounting & Economics from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().