Ownership Structure and Financial Disclosure Quality: Evidence from Listed Firms in Nigeria
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This paper examined the impact of ownership structure on financial disclosure quality of 75 firms listed on the Nigerian Stock Exchange (NSE) during the period 2011-2015. The study modeled financial disclosure quality using both accounting measure (ACCR) and market based measure (RET). The study used foreign ownership, managerial ownership and institutional investors as ownership structure attributes. The data used for the study were collected from the annual reports, company’s website and African financials website for the periods of 2011 to 2015. The General least square (GLS) regression method was used to estimate the parameters of the model. Findings from the study revealed that there is significant relationship between institutional investors, managerial ownership and quality of financial disclosure. The study recommends that Securities and Exchange Commission (SEC) should make it mandatory that all listed firms in Nigeria should have a proportion of institutional investors in their shareholdings because institutional investors have proved to be of good influence on financial disclosure quality based on the empirical results in this study.
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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 | 0.003 |
| 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 | 0.001 | 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 it