Accounting Conservatism and the Temporal Trends in Current Earnings’ Ability to Predict Future Cash Flows versus Future Earnings: Evidence on the Trade‐off between Relevance and Reliability
Bibliographic record
Abstract
This research reports that an increasing level of accounting conservatism over the 1973–2005 period is associated with: (1) an increase in the ability of current earnings to predict future cash flows and (2) a decrease in the ability of current earnings to predict future earnings. We also find that usefulness of earnings for explaining stock prices over book values is positively related to reliability but not to relevance. Our results hold for the constant and full samples in both in‐sample and out‐of‐sample analyses and are robust to the use of alternative measures for relevance, reliability, earnings usefulness, and conservatism. Our findings about the relations among conservatism, relevance, reliability, and usefulness suggest a trade‐off between relevance and reliability and seem to indicate that the adoption of an increasing number of conservative accounting standards has a possible adverse impact on earnings usefulness through a negative effect on reliability.
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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 | 0.006 | 0.049 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".