Examinando por Materia "Decisiones de inversión"

Mostrando 1 - 10 de 10
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    Análisis comparativo de la gestión activa vs pasiva de un portafolio accionario en el mercado de valores colombiano : acercamiento por medio de Markowitz
    (Universidad EAFIT, 2025) Álvarez Antía, Jerónimo; Ángel Correa, Andrés; Mejía Jaramillo. Alejandro
    This study seeks to compare the performance of active and passive portfolio management strategies within the Colombian equity market. The research specifically investigates whether passive management, replicated through the iShares MSCI COLCAP ETF, is able to match or exceed the outcomes of an active strategy implemented using the Markowitz optimization model. To this end, historical daily price data for the constituent stocks of the COLCAP index were analyzed over a five-year period. A quantitative and exploratory methodology was employed, incorporating backtesting simulations with semiannual portfolio rebalancing, and evaluating performance and risk metrics such as volatility, Sharpe ratio, and Sortino ratio. The findings indicate that, in the Colombian market, the additional risks associated with attempting to outperform the index are not compensated by a sufficiently attractive expected alpha. Consequently, within the context of an emerging economy, passive management emerges, in general terms, as the most appropriate alternative for retail investors.
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    Distinción entre decisiones de inversión y decisiones de financiamiento
    (Universidad EAFIT, 1990) Gamboa Velásquez, Ramiro; Universidad EAFIT
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    Estudio comparativo de costos de producción de las tecnologías de generación de energía eléctrica : el caso Colombia
    (Universidad EAFIT) García Hoyos, Catalina; Gutiérrez González, Maritza Fernanda; Escalante Gómez, Juan Esteban
    This capstone project aimed to develop a comparative study of the production costs of electricity generation technologies in Colombia. For this purpose, a quantitative approach, descriptive scope, and non-experimental design were proposed. The study was structured into three (3) stages, addressing key aspects within the framework of this topic. In stage 1 (diagnosis of the current situation), it was found that Colombia’s energy matrix depends largely on hydroelectric generation. This technology, which represents 65.3% of the installed capacity and under normal hydrological conditions can supply about 85% of the country's electricity demand, offers advantages in terms of environmental sustainability (compared to other higher-impact alternatives). However, due to its high concentration, it is vulnerable to extreme weather events that may affect the available supply and even compromise the territory’s energy security. In stage 2 (identification of the most used technologies in LATAM), it was verified that, in the region, the energy matrix is concentrated in renewable generation sources. In this sence, the participation of hydroelectric power (the most used technology) is highlighted, as well as the sustained growth of photovoltaic and wind generation alternatives in some countries such as Brazil (regional leader), Mexico, and Chile. This trend, mainly driven using abundant natural resources and the implementation of policies aimed at the energy transition, demonstrates a regional orientation towards meeting environmental commitments and emission reduction. Additionally, it offers replicability opportunities in other territories (such as Colombia). In stage 3 (cost comparison), it was found that renewable technologies have experienced significant reductions in their cost structures (photovoltaic solar decreased 86% in investment and 90% in LCOE, and onshore wind reduced its LCOE by 70% in recent years). However, in Colombia, the cost of solar generation remains above the regional average, reflecting opportunities for improvement in the country’s technological, logistical, regulatory, and competitiveness conditions. On the other hand, the results show that the use of renewable technologies with lower levelized costs, such as solar and wind, represents a strategic opportunity to diversify the energy matrix, reduce dependence on hydroelectric generation, and advance in meeting the country's environmental and sustainability goals.
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    Evaluación del impacto normativo en la gestión de liquidez en empresas de economía mixta
    (Universidad EAFIT, 2025) Ortiz Morales, Alejandro; Alzate Arias, Hernán Alonso
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    Generación de la frontera eficiente : un enfoque de muestreo aleatorio
    (Universidad EAFIT, 2023) Aponte Rodríguez, Daniel Mauricio; González Usuga, Miguel Ángel; Arias Sánchez, Juan Manuel
    This research analyzes the S&P500 stock market through a random sampling of 81 traded stocks over the last five years (between 2018 and 2022). From this sampling, portfolios of stocks based on combinations are generated to construct the market’s efficient frontier. These portfolios are later on evaluated by incorporating variables from fundamental analysis, such as profitability indicators, liquidity, indebtedness, and valuation. This analysis will enable an understanding of how fundamental analysis variables impact stock price movements, as well as the behaviors exhibited by portfolio returns, achieved by retrospectively evaluating the holding returns that would have been achieved at different time intervals. In practice, this research contributes a methodology to the financial world and its stakeholders for evaluating sets of stocks when constructing portfolios. It enables planning, projecting outcomes, and assessing potential risks associated with investments in the capital market.
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    Hacer o comprar : un acercamiento desde el mercado de marroquinería de lujo
    (Universidad EAFIT, 2019) Palacio Orrego, Juan Daniel; Cardona Montoya, Raúl Armando
    Due to the fast growth of the luxury goods market in the last decade, specially talking about leather goods, this article presents a manufacturing and exporting project from Colombia, of exotic skins handbags, with the highest quality standards and very competitive prices. Such project is intended to carry out through one of two proposed models: The first one, through the whole production process outsourcing, leaving the company basically with the quality control and the sales plan. The second one, carrying out the whole process within the company, from the acquisition of the raw material, to the delivery to the logistic operator of the finished goods to its shipping towards the client. To determine the model to be implemented, project preparation and evaluation techniques and cash flow methodologies will be applied.
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    iComp, una fintech para tomar la mejor decisión de inversión y financiación
    (Universidad EAFIT, 2019) Márquez Naranjo, John Alejandro; Mora Cuartas, Andrés Mauricio
    The new information systems like Blockchain, Big Data, IoT and AI, are generating several changes in the market and to the traditional way of doing business. The financial system forsaw these changes happening, and traditional banking has been threatened by the emergence of these new startups. The general denominated Fintech; provide the same financial services of the traditional banking system, yet with the simplicity of the new technologies. Nevertheless, considering the massification of the internet and the accessibility to the new technologies, a wide variety of products and services have been created on behalf of the traditional banking system and the Fintech. Therefore, it is necessary for the channelling of the information from all the partners of the financial market to be contained in only one site. This will allow the public to compare interest rates and to make the most assertive decision that saves time and money. Hence, we present the proposal for iComp, a Fintech, financial technology app to compare interest rates for Colombia.
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    ¿Influyen los puntajes ASG en las decisiones de inversión? Evidencia empírica para las empresas del Índice S&P Latin América 40
    (Universidad EAFIT, 2025) Marín Lotero, Verónica; García Aristizábal , Juliana; Correa García, Jaime Andrés; No aplica
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    Modelo de retorno de equilibrio en la deuda americana
    (Universidad EAFIT, 2024) Montañez Díaz, Adrián Felipe; Angulo Forero, Santiago Felipe; Velásquez Durán, Isabella; Gallo Restrepo, Juan Carlos; Durango Gutiérrez, María Patricia; Díaz, Walter
    Nowadays, many institutional investors use classic models, such as the Nelson-Siegel-Svensson model, which, through certain parameters, allow the estimation of the yield curve to make informed investment decisions. Despite the general approval of these models, the economic dynamics are changing, which is why, in this work, the nodes of the US yield curve were modeled through linear regression models, machine learning and deep learning, given a defined future scenario. With the result of the projection, the curve was generated by 4 methods, of which the cubic spline resulted to be the best fit.