The Role of Banking Concentration on Financial Stability
Bibliographic record
Abstract
Globally, financial instability is a major source of concern among policy makers and bank regulators, particularly after the 2007-09 global financial crisis. Motivated by inconsistent theoretical evaluations on the impact of bank concentration on the likelihood of a systemic banking crisis, this paper investigates the role of bank concentration on financial stability in Kenya with competition as an intervening variable. The novelity of this study lies on the use of structural equation modeling (SEM) in the analysis of direct and indirect effects of bank concentration on financial stability. Results show that higher concentration induces banks to increase cost of service provision which may aggravate credit risks and expose banks to systemic risks. Further, competition plays a significant role in ensuring financial system stability which supports the ‘competition-stabiliy’ hypothesis. Uncompetitive banking industry may therefore provide incentive for banks to take excessive risks, which renders them vulnerable to systematic risks. We also establish that tight regulations enhances concentration and financial stability but hinders competition. These new insights give bank regulators and policy makers an incentive to formulate and implement the right policies to improve financial stability.
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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 | 0.007 |
| 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 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".