Administración de Empresas
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Item Aplicación del modelo CAPM en los subsectores más relevantes de la industria manufacturera del Ecuador en el periodo 2015 - 2021(Universidad de Cuenca, 2023-06-29) Inga Muñoz, César Eduardo; Suárez Pesántez, Fabiola Viviana; Flores Sánchez, Gustavo GeovanniThe purpose of this research is the application and development of the financial asset valuation model known by its acronym in english as Capital Asset Pricing Model which will be applied to the most relevant subsectors of the manufacturing industry in Ecuador during the period 2015-2021. Taking a representative sample of 500 observations per year belonging to different companies that make up this sector, the economic situation of the subsectors will be identified based on the main financial indicators. When applying the model, it is intended to calculate the minimum expected return for each of the subsectors of the manufacturing industry based on the financial information calculated by the Superintendencia de Compañías, Valores y Seguros in order to estimate and analyze the market risk through of the Beta β coefficient, which this sector presents. The research is of a quantitative type with an explanatory and correlational approach, the capital asset valuation model was used using concepts of mathematics and descriptive and inferential statistics. The results show that there is a direct relationship between the minimum required return and its level of risk for subsectors C10, C11, C17, C19, C20, C22, C23, C24, that is, the higher the value of the beta coefficient, the higher the required return, which is in accordance with the classical theory of the model, this study will serve as a guide for manufacturing companies by being a tool for those investors who are interested in knowing what their expected return will be.Item Construcción de un portafolio de inversión con instrumentos de renta variable en mercado de valores estadounidense(Universidad de Cuenca, 2023-05-11) Lojano Lucero, Sandra Carolina; Luna Flores, José Andrés; Orellana Osorio, Iván FelipePortfolio construction is the process of selecting and combining financial assets with the aim of achieving a specific economic goal. To achieve such objective, contextualizing portfolio construction through a quantitative model is a valid approach, however, complexity quickly increases as the number of variables that mimic real investment scenarios are accounted for. In this thesis, portfolio construction is solved though classic one-period portfolio theory, such that, this process can be stated as a static portfolio choice problem. It will be shown that by using the assumption of Log-Normality of returns and that a risk averse individual possesses a CRRA utility function, an optimal portfolio is defined by maximizing an expected utility function of M-V parameters. With this theoretical model at hand, the main objective becomes to construct portfolios using financial data of 49 U.S industry-portfolios taken from the Kenneth French Repository. The optimization process is handled by two algorithms that were built in order to fasten calculations and to allow us to analyze a set of risk preferences and the effects of diversification.
