Financial Analysis Management of Companies in a Region of Mexico: the Need of a Financial Ratios Annual Directory
Bibliographic record
Abstract
Decisions of the organizational policies by business managers, based on ideal financial indicators, can be taken with the support of the analysis of financial ratios like predictors of business solvency, profitability and growth. This is an important financial tool to support decision making and for understanding the economic contexts where a company operates. For these reasons, the objective of this research is to identify the financial ratio usage level and to determine the relevance of elaborating an annual directory as support in defining the future of companies in Mexico. A qualitative methodology with a descriptive cross-sectional approach was used. To obtain the information a questionnaire with 43 items was successfully applied to 120 entrepreneurs in Culiaca n, Sinaloa, Mexico. In this context it can be affirmed that the usage level of financial ratios is related to the firm's size. That is to say, the bigger the size of the company, the higher the level of usage is. The results support the relevance of elaborating the directory with advantages: its availability to businesses of all sizes at low cost.
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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 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".