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Effects of intangibles on financial analysts' forecast

Authors :
Gilmar Gomes Gazzoni Junior
João José Ferreira Simões
Marcelo Moll Brandão
Antonio Artur de Souza
Source :
Revista Catarinense da Ciência Contábil, Vol 18, Iss 0, Pp e2856-e2856 (2019)
Publication Year :
2019
Publisher :
Conselho Regional de Contabilidade de Santa Catarina, 2019.

Abstract

The purpose of this research was to verify the influence of intangibles on the accuracy and dispersion of profit forecasts made by financial analysts. This study was motivated by observing that the literature suggests that intangibles can influence analysts' forecasts; however, the results are divergent, and there is no consensus regarding the direction of this influence in the studies found that address this theme. To achieve the research objectives, a sample of American non-financial companies with shares traded on Nasdaq from 1995 to 2016 was used from the OLS (Ordinary Least Squares) method, as adopted by most of the literature on the subject. The choice of such sample was due to the greater availability of intangible data and analysts' coverage, comparability with results of previous research in the literature and also because the respective stock exchange concentrates companies with greater degree of intangibility. The main results indicated that investments in R&D and recognized intangible assets were capable of improving analysts' forecasts. However, Goodwill was negatively correlated with analysts' forecasts by reducing accuracy and widening forecast dispersion. The evidence suggested an association between intangible and analysts' forecasts, providing evidence that the direction of this influence cannot be generalized to all intangibles, depending on the level of uncertainty and information complexity of the intangible studied.

Details

Language :
English, Portuguese
ISSN :
18083781 and 22377662
Volume :
18
Issue :
0
Database :
Directory of Open Access Journals
Journal :
Revista Catarinense da Ciência Contábil
Publication Type :
Academic Journal
Accession number :
edsdoj.7f7466cae9a43ce8a9e15ff7aa2074b
Document Type :
article
Full Text :
https://doi.org/10.16930/2237-766220192856