Exploring the Impact of Board Gender Diversity on Financial Performance in the Egyptian Banking Sector: A Longitudinal and Intersectional Analysis
Bibliographic record
Abstract
Purpose: This paper examines the effect of Board gender diversity on financial performance in the Egyptian banking industry. It investigates whether female directors on bank boards affect financial performance in terms of the CAMELS (capital adequacy, asset quality, management quality, earnings efficiency, liquidity risk, and sensitivity to market risk) framework. Methods and tools: This study uses a sample of 12 banks listed on the Egyptian Exchange covering the period from 2012 to 2022, employing panel data analysis and the Generalized Method of Moments (GMM) technique to examine the relationship between board gender diversity and bank performance. Control variables are bank size, non-executive directors’ ratio, CEO and chairman roles duality, board ownership, number of board meetings, and auditing committee meetings. Results: Findings indicate that female participation has no significant effects on each of the asset quality and earnings indicators, while capital adequacy, management efficiency, and sensitivity to risk have been affected positively. Besides, female participation seems to have a significant negative effect on liquidity. Theoretical and empirical contribution: This study significantly contributes to the discussion on gender diversity in corporate governance, particularly in the banking sector of emerging markets. It establishes a foundation that can be used by academics, industry practitioners, and policymakers to advance inclusive and effective governance structures.
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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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".