Stock Market Development and Economic Growth in Nigeria: Market Size Versus Liquidity
Bibliographic record
Abstract
This study investigates empirically into the acclaimed positive role played by stock markets in driving growth, with evidence from the Nigerian stock market. Utilizing several econometric techniques, such as unit root test, cointegration test and Gran=ger causality test the study disaggregates stock market development into two components: Stock market size and stock market liquidity. The essence is to know the aspect of stock market development that is the main driver of growth in Nigeria. The findings suggest the dominance of stock market liquidity over market size. While there is a two way causation between stock market liquidity and economic growth with the strength of the causality coming more from stock market liquidity, market size is found to have little or no effect on growth. Equally the results suggest a one way causation between financial deepening and growth with causality flowing from financial depending to economic growth. Key words: Stock market size; Liquidity; Economic growth; Causality; Nigeria
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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 | 0.000 |
| 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) | 0.002 | 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".