Firm Size and Financial Performance Among Listed Banks of Emerging Economies in Africa
Bibliographic record
Abstract
The continuous increase in the size of various firms and listed banks, has necessitated the need to empirically examine the effect firm size has on the financial performance of listed banks in Africa. This is because some organisations and institutions have in time past failed to fulfill their going concern objective despite their large firm size balance. This study examined the effect firm size has on the three levels of cash flow of emerging economies in listed banks in Africa. The study employed the use of multiple regression analysis with the aid of the STATA statistical software tool. The result obtained revealed that for the operating level of cash flow, all countries used in this paper, with the exception of Kenya should continue to employ the independent variable as a corporate strategy method as it increases operating cash inflow. The financing level of cash flow results recommended that all countries except Nigeria should continue to utilize firm size as a significant value was obtained from the regression. The investing level of cash flow results produced a significant P-value for all countries with the exception of Botswana. The study, therefore, recommended that listed banks in Kenya, Nigeria and Botswana should apply caution in employing the firm-size corporate strategy method. This is because it doesn’t guarantee cash inflow in all three levels of cash flows.
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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 | 0.001 | 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 | 0.001 |
| Open science | 0.000 | 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".