Determinants of corporate cash holdings: Evidence from the Moroccan market
Bibliographic record
Abstract
Determining cash holdings is amongst the most important financial decisions made by heads of corporations. This decision relies on theoretical convictions and views as well as firm specific characteristics. This article analyzes the determinants of cash management in Moroccan corporations. By mobilizing all the theories of optimal financial structure, our research attempts to focus on the field of knowledge in the financial management of cash surpluses. No analysis has been carried out concerning cash and cash equivalents in Moroccan firms. These results could, therefore, contextualize the existing knowledge in this research theme and better understand the behavior of companies and their main trends in terms of cash flow, as well as the objectives and motivations of managers. The sample studied consists of 42 Moroccan companies, which are all publicly traded on the Casablanca Stock Exchange over 13 years (2007-2019). This research uses an empirical econometric study based on a positivist approach with a hypothetical-deductive method. We use panel regression analysis and perform all the necessary tests to determine the exact nature of this dataset. Our results show some evidence that a strong positive correlation exists between liquidity level and cash-flow as well as family shareholding. It is also found that the cash holdings of these companies are significantly negatively affected by how large or small the firm is, working capital requirement, debt leverage, as well as growth opportunity of the firm.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".