Bibliographic record
Abstract
The present study aims to investigate the effect of accruals on return and cost of capital.Accordingly, by analyzing information of 92 companies over a period of 8 years from 2008 to 2015, the researcher seeks to study the effect of accruals quality on the returns and capital cost of the companies listed in Tehran Stock Exchange.Tadbirpardaz, Rah Avard-e Novin, Eviews and SPPS were used for analyzing the hypotheses.The results of hypothesis analysis indicate that accruals quality has different impacts on the capital cost components.Accruals have a positive and significant effect on the cost of equity, which increases the cost of internal resources provision, while there is no significant relationship between the accruals quality and costs.Moreover, the findings show that the quality of accruals leads to increased return on the companies' market and the relationship between these two factors is positive and significant.Finally, the results of the Fama-French three-factor model analysis demonstrate that accruals quality cannot explain stock returns (equity premium) to assess companies' returns, and statistically, there is no meaningful relationship between accruals quality and risk premium in the Fama-French three-factor model.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.917 | 0.904 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".