The Impact of Liquidity and Leverage on Profitability in Industrial Sector in Jordan
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Financial leverage is linked to the funding structure in terms of the proportion of debt in the capital structure; the higher the financial leverage is, the more the company depends on debt in its financing structure. On the other hand, the lower the debt is, the more the company relies on equity funding. The company thus decides the optimal funding combination that minimizes the company's capital costs and maximizes shareholder returns.The aim of this analysis was to quantify the effect of the analysis on the profitability of the Jordanian industrial sector listed on the Amman Stock Exchange during the period (2008-2017) and on a sample of (54) industrial companies to assess the impact of leverage and liquidity. In order to evaluate the data obtained from the actual financial statements of the industrial companies listed on the Amman Stock Exchange, a descriptive and systematic methodology was used. As a result, the statistical conclusion showed that the effect of liquidity and leverage on profitability was a significant result.
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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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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 it