Valuación de empresas del Índice de Precios y Cotizaciones Sustentable de México, antes y durante el COVID-19
Bibliographic record
Abstract
The purpose of this investigation was to validate through the Tobin Q and Altman Z score indicators, if COVID-19 affected the financial results of the companies that make up the Sustainable Prices and Quotations Index of the Mexican Stock Exchange. This study is non-experimental of a cross-sectional type since the financial statements and quotations for the 4th quarter of 2019 and the 1st quarter of 2020 of companies of frequent consumer products sector and the industrial sector were analyzed, in order to demonstrate if an increase, stability or decrease in the value of said companies was observed, and predict their possible bankruptcy. The results obtained showed that there was indeed a negative impact on the values of said indicators, where the majority decreased their financial indicators, which is of interest to the managers who are in charge of companies belonging to that sector and to provide to investors who look to the future, indicators that help in decision-making when investing in sustainable companies.
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How this classification was reachedexpand
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".