Working Capital Management (WCM) and Firm Performance in Emerging Markets: A Case of Bangladesh
Why this work is in the frame
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Bibliographic record
Abstract
We examine the impact of efficient working capital management on market value and profitability. Using secondary data on selected firms from Dhaka Stock Exchange we explore the effects of various working capital components (i.e. cash conversion cycle (CCC), current ratio (CR), current asset to total asset ratio (CATAR), current liabilities to total asset ratio (CLTAR), debt to asset ratio (DTAR), siz,e and growth) to the firm’s performance by looking firm’s value i.e. Tobin’s Q (TQ) and profitability i.e. return on asset (ROA) and return on invested capital (ROIC). Our results show that, for both food and overall manufacturing sectors, there is a significant association between working capital variables and firm’s value & return on assets, but an insignificant association with return on invested capital.
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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 | 0.000 |
| 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 | 0.000 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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