Influence of Profitability to the Firm Value of Diversified Companies in the Philippines
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The main objective of every company is to maximize the assets or firm value. Maximizing firm value is essential for a company because it means increasing the wealth of shareholders as well. This study aims to determine if there is significant influence between the company’s profile such as industry, company age and its profitability with the firm value using Tobin’s Q model. The proponents selected 86 diversified companies in the Philippines by gathering and analyzing annual financial reports on 2014 in the Philippine Stock Exchange (PSE) to obtain the objective of the study and also employed predictive correlational design. Frequency, Mean and Multiple Regression were used to determine the significant influence between the independent and dependent variables. The multiple regression reveals that of the three factors assumed to influence value of the firm using the Tobin’s Q, only profitability shows significant positive impact on the firm’s value.
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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 | 0.003 | 0.001 |
| 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 | 0.001 | 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 it