The Impact Of Asset Management Efficiency Ratios on Earnings per Share Case Study of Industrial Companies Listed on the Amman Stock Exchange from 2005 to 2019)
Bibliographic record
Abstract
This study aims to analyze the effect of the represented asset management efficiency (total asset turnover (TAT), fixed asset turnover (FAT), and working capital turnover (WCT)) on the earnings per share (EPS) of industrial companies listed on the Amman Stock Exchange (IASE) as the data were obtained from the Amman Stock Exchange (ASE) from 2005 to 2019, where the unit root test was analyzed for the time series of the study variables. Results revealed that all the variables stabilize at the first differences 1 (1), several diagnostic tests, such as variance instability, Ramsay stability, and serial correlation tests were also performed, all of which confirmed the fit and validity of the model used. Results showed the positive and strong impact of the asset turnover rate on EPS, the positive and strong impact of the fixed asset turnover rate on the return on profitability, and the positive impact of the (WCT) on EPS. Therefore, asset management efficiency positively affects the EPS. Moreover, this result indicates the efficiency of industrial companies in managing assets during the study period.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 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".