Estrategias financieras para generar liquidez y reducir los impactos de la crisis financiera internacional en Votorantim Metáis Cajamarquilla - Lima. 2008-2010
Bibliographic record
Abstract
During the international financial crisis that began in 2007, the prices of metals, especially Zinc, generated an impact on many of the mining companies in Peru as well as one of the largest refineries in the country, Votorantim Metis Cajamarquilla.These impacts, due to the fall in zinc prices, occurred when the company had begun its second stage of capacity expansion to 320 thousand MT annually; this capacity would place Votorantim Metis among the most important refiners of Zinc in the world.The importance of the Refinery for the Country is given in terms of contribution to GDP, through the generation of direct and indirect jobs, main contributor to SUNAT and one of the main investors in the Mining sector; this through the Program of Reinvestment of Utilities agreed with the Peruvian State.The financial crisis brought as a consequence a risk in the liquidity of the Company, which would prevent it from fulfilling the obligations with contractors of the Project and especially with the fulfillment of the corporate objectives.The financial strategies, exposed in the present research work, such as Leverage with Contractors to 360 days, carry out a Leaseback operation, and the creation of a subsidiary that would allow importing equipment for the Project with a much lower tariff rate, allowed continuing with the Project and culminate it in 2010.As a contribution, this research work exposes alternatives, so that financial experts can use them in the midst of an international financial crisis with falling metal prices, in order to generate the necessary liquidity to cover operating or investment disbursements.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 0.002 |
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; both teacher heads agree on what is shown here.
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".