Impacts of profitability and growth on stock returns of the listed manufacturing companies at Dhaka stock exchange in Bangladesh
Bibliographic record
Abstract
The study aimed to examine the impact of profitability and growth on the adjusted stock return of the listed manufacturing companies at the Dhaka stock exchange, Bangladesh. The study included 198 manufacturing companies operating in 14 sectors. The combination of cross-sectional and time-series data has constituted panel data. We hypothesise the positive and significant relationship between profitability and growth, and stock returns, pooled OLS multiple regression model, fixed effect regression model, and random effect regression model has been developed. The findings showed that all the independent variables except for the operating profit margin (OPM) positively impact the stock return. The variables did not influence the investor's stock investment decision, except for the net profit growth (NPG) measure. The positive connection between other profitability ratios and the stock return has not turned out to be robust and significant mainly because of the speculative and non-analytical investment decision-making by individual-level investors.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| 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 source (direct Gemma or distilled Codex), 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".