Bibliographic record
Abstract
Lebanese Banks financial performance is an important topic especially that the performance of banks has a significant influence on the economy. A study on the Lebanese Banks’ financial performance determinants is essential in order to provide banks with indicators that can help them to enhance and improve their performance. The purpose of this study is to determine and analyze the determinants or the factors affecting the profitability of the Lebanese Banking Sector. The sample studied consists of the Lebanese Banking Sector including all banks, but limited to a period of 19 years being from 1999 till 2017. Results of the study were analyzed using the statistical program “SPSS”. Findings revealed the significance relation each of Capital adequacy, efficiency, and growth in loans toward banks profitability as well as the significance relation between Inflation GDP deflator rate, Real Interest Rate and profitability. At the same time, no significant relation was obtained between liquidity, GDP growth and profitability. The study recommends banks to enhance their internal factors being the most important determinants of banks profitability, especially their capital adequacy and loan growth.
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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 | 0.003 |
| 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 | 0.002 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".