Modelling the Impact of Liquidity Trend on the Financial Performance of Commercial Banks and Economic Growth in Cameroon
Bibliographic record
Abstract
Recent year statistics have revealed the build-up of excess liquidity in Cameroonian commercial banks for more than two decades now. This has led to renewed interest in liquidity management, as it has implications on the financial performance of commercial banks. This paper is therefore designed to examine the impact of excess liquidity on the financial performance of commercial banks in Cameroon. Using Return on Assets (ROA) as proxy for the measurement of financial performance, secondary data from 1990 to 2016, with the application of the VAR technique, the findings reveals that excess liquidity and total liquid outflows affect ROA negatively. Gross domestic product, interest rate gap, total liquid inflows and previous year ROA had positive effects on ROA. Also from the empirical findings, there is an existing significant negative chain between excess liquidity, commercial bank performance and economic growth in Cameroon based on the Koyck Geometric lag reasoning. To address the negative vicious cycle chain, we therefore recommend guided minimum and maximum liquidity regulatory control and government effort geared towards encouraging moral suasions and special directive of investment by commercial banks in the agricultural, industrial and the educational sectors in Cameroon. Also, commercial banks should set maturity mismatch limits appropriate to the size of excess liquidity observed in each bank. Attempt to reverse the chain is part of the assurance to Cameroon emergence by 2035.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".