The Intervening Effect of Global Financial Condition on the Determinants of Bank Performance: Evidence from Nigeria
Bibliographic record
Abstract
The global financial crisis had devastating effect on both developed and developing economies. In Nigeria, the effect of the crisis swerve through the major sectors of the economy with the banking sector greatly affected. This study investigates the determinants of Nigerian banks’ performance from 1999 to 2010 while taking into consideration the intervening effect of global financial condition. The data of the study, which were extracted from annual reports of the banks as well as various publications of Central Bank of Nigeria and Nigerian Deposit Insurance Corporation, were treated statistically using multiple regressions. The study provides evidence indicating that in the presence of the effect of global financial condition, only assets quality and market concentration are significant determinants of the Nigerian banks’ performance. By implications, these findings suggest the need to keep nonperforming assets at minimum and introduce a policy to encourage fair competition among the banks operating in Nigeria in order to check concentration of banking services among only few banks.
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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 | 0.004 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 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".