The Determinants of Corporate Cash Holdings: The Case of a Small Emerging Market
Bibliographic record
Abstract
This study investigates the factors influencing the level of corporate cash holdings in the context of Jordan, a small emerging market characterized by large market frictions. This article employs the framework of the trade off, financing hierarchy, and managerial discretion theories to predict determinants of cash reserves. Then it examines these predictions using a sample of listed nonfinancial Jordanian firms over the period 2005-2013 using alternative estimation methods. Consistent with the trade-off theory, the results show that firm size and cash substitutes have negative and significant impact on cash holdings while growth opportunities and cash flow volatility have positive and significant impact. In addition, and consistent with the financing hierarchy view, the results show that cash flow and growth opportunities have positive and significant impact on cash holdings. Also, the study documents that leverage is negatively related to cash holdings while squared leverage is positively related to cash reserves. Finally, the results indicate that there are significant dynamic effects in determining cash holding targets.
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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 | 0.004 | 0.004 |
| 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 | 0.000 |
| Open science | 0.001 | 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 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".