Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/261921 
Year of Publication: 
2022
Citation: 
[Journal:] BRQ Business Research Quarterly [ISSN:] 2340-9436 [Volume:] 25 [Issue:] 2 [Publisher:] Sage Publishing [Place:] London [Year:] 2022 [Pages:] 143-172
Publisher: 
Sage Publishing, London
Abstract: 
We examine the relationship between intangible intensity and the accuracy of analyst forecasts. Using an international sample of 2,200 firms during 2000-2016, we show that analyst accuracy decreases significantly when intangible intensity grows. In exploring the determinants of this effect, we distinguish between firm risk and the risk associated with intangibles. Our results reveal the role of financial reporting quality, ownership structure, and institutional quality in moderating the relationship between intangible intensity and analyst accuracy. Analyst forecast accuracy acts as a channel through which the higher levels of information asymmetry associated with intangible intensity affect the cost of equity. Our results are robust to different intangible intensity measures; mandatory changes in financial reporting standards; the implementation of transparency rules in certain industry sectors; and financial crisis periods. We have devised alternative econometric tools that deal with potential sample selection bias and the dynamics of our empirical model.
Subjects: 
Accuracy of analyst forecasts
intangible intensity
governance mechanisms
cost of equity
JEL: 
G00
G14
G30
M41
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by-nc-nd Logo
Document Type: 
Article

Files in This Item:
File
Size





Items in EconStor are protected by copyright, with all rights reserved, unless otherwise indicated.