Analysts' earnings per share forecasts: The effects of forecast uncertainty and forecast precision on investor judgements
Publication Type
Journal Article
Publication Date
9-2023
Abstract
This study uses controlled experiments to investigate the joint effects of forecast uncertainty and forecast precision on investor judgements. It finds that forecast precision moderates the effects of forecast uncertainty on investors' forecast reliability judgements such that the effects of forecast uncertainty on investors' judgements of forecast reliability are more negative when an analyst's point earnings per share (EPS) forecast is rounded than when it is precise. In addition, the relationship between forecast precision and investors' judgements of forecast reliability is mediated by investors' perceptions of forecast attributes. The evidence also suggests that while forecast uncertainty exerts a negative effect on investment judgements, forecast precision does not play a role in mitigating these negative effects. Using a supplementary within-participants experiment, the study further finds that investors may not be consciously aware of how forecast precision influences their judgements of forecast reliability.
Keywords
Analyst forecast, Earnings forecast, Forecast uncertainty, Investor judgement, Point earnings per share, Rounding
Discipline
Accounting | Finance and Financial Management | Portfolio and Security Analysis
Research Areas
Financial Intermediation and Information
Publication
Abacus
First Page
1
Last Page
33
ISSN
0001-3072
Identifier
10.1111/abac.12302
Publisher
Wiley: 24 months
Citation
GOH, Clarence.
Analysts' earnings per share forecasts: The effects of forecast uncertainty and forecast precision on investor judgements. (2023). Abacus. 1-33.
Available at: https://ink.library.smu.edu.sg/soa_research/2019
Copyright Owner and License
Authors
Additional URL
https://doi.org/10.1111/abac.12302