Career Concerns and Management Earnings Guidance
Bibliographic record
Abstract
Abstract This study provides evidence that managers' career concerns affect their earnings guidance decisions. We hypothesize that CEO s who are relatively more concerned about assessments of their abilities have stronger incentives to guide the market expectations of earnings downwards to increase the likelihood of meeting or beating the expectations. Consistent with this hypothesis, we find that (i) short‐tenured CEO s, CEO s promoted from inside the firm, and nonfounder CEO s are more likely to provide downward earnings guidance when they have bad news, and (ii) their downward guidance tends to be more conservative. In response, analysts revise earnings forecasts less for the downward guidance provided by more career‐concerned CEO s. This indicates that analysts rationally incorporate these CEO s' stronger incentives to be conservative in their earnings guidance. Consequently, we find that CEO s with greater career concerns are not more likely to beat the market expectations, even when they provide more conservative downward guidance.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".