Complexity is never simple: intangible intensity and analyst accuracy

dc.contributor.authorFerrer Zubiate, Elena
dc.contributor.authorSantamaría Aquilué, Rafael
dc.contributor.authorSuárez Suárez, Nuria
dc.contributor.departmentEnpresen Kudeaketaeu
dc.contributor.departmentInstitute for Advanced Research in Business and Economics - INARBEen
dc.contributor.departmentGestión de Empresases_ES
dc.date.accessioned2021-01-27T12:17:57Z
dc.date.available2021-01-27T12:17:57Z
dc.date.issued2020
dc.description.abstractWe 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.en
dc.description.sponsorshipE. Ferrer acknowledges financial support from the Spanish Ministry of Economy and Competitiveness (Project ECO2016-77631-R). N. Suárez acknowledges financial support from the Spanish Ministry of Economy and Competitiveness (Project ECO2017-85356-P).en
dc.format.extent30 p.
dc.format.mimetypeapplication/pdfen
dc.identifier.doi10.1177/2340944420931871
dc.identifier.issn2340-9444 (Electronic)
dc.identifier.urihttps://academica-e.unavarra.es/handle/2454/39089
dc.language.isoengen
dc.publisherSAGEen
dc.relation.ispartofBRQ Business Research Quarterly, 2020en
dc.relation.projectIDinfo:eu-repo/grantAgreement/ES/1PE/ECO2016-77631-R/
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/ECO2017-85356-P/ES/
dc.relation.publisherversionhttps://doi.org/10.1177/2340944420931871
dc.rights© The Author(s) 2020. This article is distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 License which permits non-commercial use, reproduction and distribution of the work as published without adaptation or alteration, without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).en
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectAccuracy of analyst forecastsen
dc.subjectIntangible intensityen
dc.subjectGovernance mechanismsen
dc.subjectCost of equityen
dc.titleComplexity is never simple: intangible intensity and analyst accuracyen
dc.typeinfo:eu-repo/semantics/article
dc.type.versioninfo:eu-repo/semantics/publishedVersion
dspace.entity.typePublication
relation.isAuthorOfPublicationa227ec55-cebc-46cf-b073-0b03bb37a39f
relation.isAuthorOfPublication8af201de-d15e-4cb3-a3e7-e1cb3f1b60ee
relation.isAuthorOfPublication72aed499-938b-4688-990d-bf963839bcc7
relation.isAuthorOfPublication.latestForDiscoverya227ec55-cebc-46cf-b073-0b03bb37a39f

Files

Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
2020101242_Ferrer_ComplexityNever.pdf
Size:
274.02 KB
Format:
Adobe Portable Document Format
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed to upon submission
Description: