Industry Peer Competition and Management Earnings Forecasts

Lin Chen, Dongfang Nie, Yuan Shi

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

This study examines the effect of industry peer competition on management earnings forecasts in the U.S. product markets. Our probit model estimations show that industry peer competition is positively associated with the likelihood and frequency of quarterly management earnings forecasts. Further, this effect is more pronounced for firms that are leaders in sales and for firms with R&D activities that use voluntary disclosure to reduce information asymmetry. Using a Heckman model, we further find that the likelihood of point forecasts versus range forecasts is negatively associated with industry peer competition, and this effect is more pronounced for firms that are leaders in sales and for firms with R&D activities. These findings suggest that firms with high proprietary costs are less likely to issue precise forecasts.

Original languageEnglish (US)
Pages (from-to)191-206
Number of pages16
JournalJournal of Corporate Accounting and Finance
Volume33
Issue number4
DOIs
StatePublished - Oct 2022

All Science Journal Classification (ASJC) codes

  • Accounting
  • Economics, Econometrics and Finance(all)

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