Examinando por Materia "Gold"

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    Ítem
    Análisis al avance en la ejecución de la locomotora minero energética Plan Nacional de Desarrollo 2010-2014
    (Universidad EAFIT, 2014) Bravo Ledezma, Serafín; Hernán Dussán, Gustavo; Reyes, Eduardo
    La minería, durante la última década, ha sido considerada como uno de los motores de crecimiento económico del país y como tal fue incluida dentro de los sectores económicos que el presidente Juan Manuel Santos denominó “las locomotoras de crecimiento”, debido a estos sectores o actividades económicas tienen el potencial de ofrecer una mayor contribución para el logro de los objetivos de desarrollo planteados por el gobierno en el Plan Nacional de Desarrollo 2010-2014 -- Este documento hace un análisis de los avances de la “locomotora minero-energética”, en su componente minero, para lo cual, en primer lugar se hace una presentación general del sector enunciando sus puntos relevantes en cuanto a producción, exportaciones, inversión extranjera directa (IED) y participación del PIB nacional, así como las metas y objetivos fijados por el gobierno en este sector -- Seguidamente se analizan, con base en las metas fijadas en el Plan Nacional de Desarrollo 2010 – 2014 y los indicadores macroeconómicos, los avances que ha tenido la locomotora durante lo corrido del gobierno actual
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    Publicación
    El sector energético como activo refugio : un análisis del XLE tras la invasión de Rusia a Ucrania
    (Universidad EAFIT, 2025) Vera Cortés, Alfonsina del Mar; Puerta Álvarez, Henry Daniel
    This study analyzes whether the U.S. energy sector, represented by the XLE ETF, can be considered a safe haven asset in the context of disruptive geopolitical and economic events, such as the Russia-Ukraine war and the COVID-19 pandemic. Using daily data from 2019 to 2025, the behavior of XLE, the S&P 500, gold (XAU/USD), oil prices (WTI and Brent), and inflation expectations (sourced from the FRED database) are examined. Through statistical and graphical tools, the analysis shows that XLE experienced a significant recovery after the onset of the conflict, remaining relatively stable compared to the volatility of other assets such as oil and gold. In contrast, gold—traditionally viewed as a safe haven—lost stability after the war began, with a delayed recovery. The differing behavior of WTI and Brent highlights the influence of regional geopolitical factors. Inflation expectations also played a key role in shaping asset dynamics. The results suggest that, although gold remains relevant as a safe haven, the U.S. energy sector—particularly the XLE—has gained prominence as a potential defensive alternative for investors during periods of high uncertainty.
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    Ítem
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    Ítem
    Monocolor and color holography of pre-Hispanic Colombian goldwork: A way of Colombian heritage appropriation
    (SPIE-INT SOC OPTICAL ENGINEERING, 2018-01-01) Madrid Sánchez, A.; Giraldo, L.M.; Velásquez Prieto, D.; Universidad EAFIT. Departamento de Ciencias Básicas; Óptica Aplicada
    Optically indistinguishable copies of 3D real objects or holograms are known to be suitable to replace exhibited artistic pieces in museums. In this paper, we discuss holography as an alternative to protect, share and preserve finely crafted gold pieces belonging to the indigenous treasure inherited by Colombians. We present high diffraction efficiency monocolor and color holograms of native goldwork. As reference objects and proof of concept, we use replicas of the renowned and emblematic Poporo Quimbaya, pre-Hispanic gold pendants and anthropomorphic gold pieces. We report experimental details to deal with different types of commercial holographic recording materials, as for example, PFG-03M and PFG- 03C silver halides or C-RT20 photopolymers. And its general feasibility for reproducing high-quality holograms suitable for museum exhibitions or traveling art-collections. Copyright © 2018 SPIE. Downloading of the abstract is permitted for personal use only.
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    Ítem
    Predicción del precio del oro en el mercado spot y el tipo de cambio USD–COP para la optimización del rango de cobertura en derivados de las compañías exportadoras del sector minero
    (Universidad EAFIT, 2024) Gallego Panesso, Cristian Alexander; Almonacid Hurtado, Paula María
    This study addresses the implementation of various time series regression and machine learning models, such as: ARIMA, ARIMAX, SARIMA and Random Forests with the objective of accurately predicting the price of gold in the spot market and the USD–COP exchange rate. Precision in these predictions is crucial for export companies in the mining sector, as it allows them to establish optimal coverage ranges in the use of financial derivatives. Throughout the study, different machine learning algorithms were evaluated and compared, selecting those that provided the most accurate and consistent results. The findings offer a valuable tool for financial risk management and strategic decision making in the context of gold price volatility and exchange rate fluctuations. At the end of the study, it is indicated that the ARIMAX Rolling Forecast model applied in a parameterization (1,1,0) was the most accurate and consistent model over time for the price forecasts of both assets.