The Impact of the Financial Performance on Capital Structure of Insurance Industry in Egypt
Bibliographic record
Abstract
This paper attempts to investigate the impact of the profitability and liquidity on capital structure of insurance industry in Egypt as applied on a sample of (19) insurance firms represented in the Egyptian insurance industry over the period from 1999-2019. The capital structure is measured by debt ratio, and the financial performance is measured by (liquidity, return on equity, and retune on investment).The study results show that there are significant negative linear relationships between the independent variable in terms of return on equity (X1), return on investment (X3), and dependent variable for the capital structure (Y) at the level of significant less than (0.001); based on panel data analysis, the results show that Tau-statistic, and z-statistic, are at a significant level less than (0.05).The statistical conclusion is the null significant relationship between the capital structure and liquidity, while there is a significant relationship between the capital structure, return on equity, and return on investment. The results also show that the R2 for the independent variables are accepted in the model (capital structure Y, lag Y1, return on equity X1, liquidity X2, and return on investment) by (79.3%) from total variation of capital structure (Y).
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".