dc.creatorPillpe-Garcia, Cesar
dc.creatorDiaz-Huaina, Guillermo
dc.creatorRaymundo, Carlos
dc.date.accessioned2021-11-02T16:18:02Z
dc.date.accessioned2024-05-07T02:26:52Z
dc.date.available2021-11-02T16:18:02Z
dc.date.available2024-05-07T02:26:52Z
dc.date.created2021-11-02T16:18:02Z
dc.date.issued2022-01-01
dc.identifier23673370
dc.identifier10.1007/978-3-030-85540-6_114
dc.identifierhttp://hdl.handle.net/10757/657877
dc.identifier23673389
dc.identifierLecture Notes in Networks and Systems
dc.identifier2-s2.0-85115625171
dc.identifierSCOPUS_ID:85115625171
dc.identifier0000 0001 2196 144X
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/9326856
dc.description.abstractIn this research we propose to apply the qualitative evaluation technique by points to the factors that influence the price of gold. In addition, we will simulate the context of 2015, a year in which the price of gold reached historical lows, and at the same time, a period in which the analyzed company was going through a period of crisis when seeing that its valuation was affected by the devaluation of its reserves and growth of debts with suppliers. The research was carried out for the forecast of the price of gold, the general budget of the company, the budget in the mine operations area and the budget of the plant operations area, but for reasons of space in the development of the paper we will only show the development with the price of gold and the area of operations in the process plant.
dc.languageeng
dc.publisherSpringer Science and Business Media Deutschland GmbH
dc.relationhttps://link.springer.com/chapter/10.1007/978-3-030-85540-6_114
dc.rightsinfo:eu-repo/semantics/embargoedAccess
dc.sourceUniversidad Peruana de Ciencias Aplicadas (UPC)
dc.sourceRepositorio Académico - UPC
dc.sourceLecture Notes in Networks and Systems
dc.source319
dc.source899
dc.source906
dc.subjectBudgets
dc.subjectCommodity prices
dc.subjectControl
dc.subjectForecasts
dc.subjectTrend lines
dc.titlePredictive Model Influenced by External Factors to Reduce Uncertainty in the Budget Forecast of a Gold Mining Company
dc.typeinfo:eu-repo/semantics/article


Este ítem pertenece a la siguiente institución