Exploring Liquidity Risk and Interest-Rate Risk: Implications for Profitability and Firm Value in Nigerian Banks
Bibliographic record
Abstract
The purpose of this paper is to examine the effects of liquidity risk and interest rate risk on profitability and firm value, current studies are typically limited in emerging markets. This study employs a panel data estimation technique and a sample of 16 banks operating in Nigeria over the period from 2009 to 2017 making up to 144 observations. The findings of the study reveal that liquidity risk (loan to deposit ratio and liquid asset ratio) have a significant negative effect on firm value, the net interest margin and GDP have a negative significant impact on firm value for Nigerian banks. The loan to deposit ratio have a negative significant effect on firm value while the liquid asset ratio have a positive effect on firm value. The net interest margin have a negative significant effect on firm value while the asset interest margin have a positive significant impact on firm value. The GDP and inflation both have a positive significant relationship with firm value. The liquidity risk (loan to deposit ratio and liquid asset ratio) have a significant negative impact on return on equity of Nigerian banks. The GDP growth rate have a positive significant effect on the value of firm. Hence, this empirical study emphasizes and contributes to the dynamic role of liquidity risk and interest-rate risk and it's implication on profitability and firm value of banks in Nigeria and suggest that further study can explore a comparative study between Nigeria and financial firms in developed economy.
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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 | 0.002 | 0.001 |
| 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 | 0.000 |
| 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".