High-technology intangibles and analysts' forecasts / Discussion

• Published in: Journal of accounting research 2002-05, Vol.40 (2), p.289
• Main Authors: Barron, Orie E, Byard, Donal, Kile, Charles, Riedl, Edward J, Demers, Elizabeth
• Format: Article
• Language: English
• Subjects: Accounting; Balance sheets; Earnings forecasting; Financial reporting; High tech industries; Hypotheses; Intangible assets; Manufacturing; R&D; Research & development; Research & development expenditures; Studies
• ISSN: 0021-8456; 1475-679X

This study examines the association between firms' intangible assets and properties of the information contained in analysts' earnings forecasts. It is hypothesized that analysts will supplement firms' financial information by placing greater relative emphasis on their own private (or idiosyncratic) information when deriving their earnings forecasts for firms with significant intangible assets. The evidence is consistent with this hypothesis. It is found that the consensus in analysts' forecasts, measured as the correlation in analysts' forecast errors, is negatively associated with a firm's level of intangible assets. This result is robust to controlling for analyst uncertainty about a firm's future earnings, which is also found to be higher for firms with high levels of internally generated (and expensed) intangibles. Given that analyst uncertainty increases and analyst consensus decreases with the level of a firm's intangible assets, it is also expected and found that the degree to which the mean forecast aggregates private information and is more accurate than an individual analyst's forecast increases with a firm's intangible assets. Finally, additional analysis reveals that lower levels of analyst consensus are associated with high-technology manufacturing companies, and that this association is explained by the relatively high R&D expenditures made by these firms. Overall, the results are consistent with financial analysts augmenting the financial reporting systems of firms with higher levels of intangible assets (in terms of contributing to more accurate earnings expectations), particularly R&D-driven high-tech manufacturers.