Evaluation of the Effect of Company's Life Cycle on the Cost of Equity
Bibliographic record
Abstract
The aim of this study is to investigate effect of company's life cycle on cost of stockholders , in this regard, three hypotheses were developed that a sample of 118 companies during the period of 2009 to 2015 were selected in order test them and regression model and panel data was used to analyze hypotheses. In this study, Dickinson (DeAngelo et al., 2006; Dickinson, 2011; Rahmanian, Moghaddam et al., 2014) company life cycle criteria has been used to separate companies to different steps of company life cycle and the Gordon growth model has been used to measure cost of stockholders. The results show that the cost of stockholders has significant difference with each other in mature phase of Company life cycle Compared with recession of company's life cycle. The results also show that cost of stockholders have significant difference with each other compared with recession of company's life cycle in the growth stage of companies life cycle . Finally, the results show that cost of stockholders have significant difference with each other in the Company life cycle birth and decline compared with the record of company's life cycle.
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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 | 0.002 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".