Analysis of Company Characteristics of Firm Values: Profitability as Intervening Variables
Bibliographic record
Abstract
This study aims to analyze the factors that influence company value (PBV) in consumer goods companies listed on the Indonesia Stock Exchange in 2014-2018. The independent variables used in the study are capital structure (DER), company size (SIZE), liquidity (CR) with profitability (ROE) as an intervening variable.The population used in this study is all companies engaged in the consumer goods sector listed on the Indonesia Stock Exchange in 2014-2018. Sampling in this study used purposive sampling which resulted in a sample of 128 consumer goods sector companies. The method used is path analysis which is the development of multiple regression and bivariate analysis.The results of this study indicate that company size and liquidity have a positive and significant effect on profitability, the capital structure has a negative and not significant effect on profitability. Profitability and company size have a positive and significant effect on firm value. Capital structure and liquidity have a positive and not significant effect on firm value. Then profitability is able to mediate the influence of company size and liquidity on firm value, but profitability is not able to mediate the influence of capital structure on firm value.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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".