Accounting Information and CEO Compensation: The Role of Cash Flow from Operations in the Presence of Earnings*
Bibliographic record
Abstract
Abstract We examine the role of cash flow from operations (CFO) in chief executive officer (CEO) cash compensation. We predict that CFO is contract‐relevant in the presence of earnings, and more so when (1) the quality of earnings relative to the quality of CFO as a measure of performance is low and (2) the need for CFO as a financing source is high. Our analysis is motivated principally by normative arguments and anecdotes from financial disclosures linking CFO to managerial effort and contracts, notwithstanding the traditional role of earnings in performance measurement. We find that the weight of CFO in the compensation model is positive and significant in the presence of earnings and stock returns. We also find that the relative quality of CFO compared with that of earnings has a positive (negative) impact on the weight of CFO (earnings). We further find that the relative weight of CFO is enhanced substantially when enterprise activities crucially depend on internally generated cash flow. These findings are unaltered when we include CEO age, firm size, and risk in the model and allow the coefficients to vary across industries.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.041 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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 source (direct Gemma or distilled Codex), 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".