The Simultaneity of Corporate Financial Decisions Under Different Levels of Managerial Ownership: A Case of Pakistani Listed Firms
Bibliographic record
Abstract
Purpose- The prime objective of the current study is to investigate the interdepended of financial decision. In addition to that the impact of different level of managerial ownership on the interdepended of financial decisions is also examined agency theory, pecking order theory and the signaling theory are used as the theoretical lenses to draw the theocratical framework.Design/methodology/approach- The balance panel of 161 nonfinancial firm over the period of five years from 2013 to 2017 is used to achieve the research objectives. Polled OLS, Fixed effect and Random effect estimates are employed to answer the reach questions Findings- The managerial ownership with an average mean ownership of 39 is appeared at the top. Interestingly more than 75 percent firms are being controlled by mangers and in more than 60 percent firms of our sample the controlling managers hold more than 40 percent of shares. The Wu Hausman test is performed to determine the existence of the endogeneity problem. The results indicates that the financial decisions namely cash holding decisions, financing decisions and investment decisions has significant impact on each other. Where the managerial ownership is in nonlinear relationship with financial decisions. The results of the study are also providing support to agency theory, pecking order theory and the signaling theoryResearch implications- The study will be helpful for policymakers, researchers, corporate personals and financial institutions in understanding the interrelationship between financing decisions and the role of managerial ownership in there interdepended.Originality/value- The study is among the pioneering studies on the issue and will provide policy guideline on the said issues.
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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 | 0.003 |
| 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 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".