Stock Market Development and Economic Growth: Empirical Evidence From an Institutional Impaired Economy
Bibliographic record
Abstract
The research investigated the relationship linking stock market development and economic growth from 1985 to 2018. In measuring growth, Gross domestic product (GDP) was adopted, while stock market was surrogated by turnover ratio, market-capitalization, and value of share- traded, sourced from the Central Bank of Nigeria (CBN) and the Security and Exchange Commission Database. The inclusion of money supply (M3) captured innovation (financial) in the monetary sector. In investigating the aforementioned relationship, the ARDL Bound test methodology was adopted. Empirical results from the investigation confirm the existence of a long-run relationship between stock market development and growth. Similarly, there was a positive relationship between indices of stock market development and growth, albeit statistically insignificant. The study concluded that financial institutions should concentrate on financial innovation in other dimensions in other to boost stock market performance that will result in sustainable growth.
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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 | 0.002 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".