Publication: Análisis del impacto del valor añadido del gestor sobre el binomio Rentabilidad-Riesgo, medido mediante el ratio de Sharpe, en los Fondos de Inversión Socialmente Responsables
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2018
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Facultad de Ciencias Económicas y Empresariales. Escuela de Estudios Cooperativos
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El objetivo del trabajo es analizar el impacto e influencia del valor añadido que aporta el gestor en los Fondos de Inversión Socialmente Responsables (FISR), sobre el obtenido por un indicador de referencia. En este trabajo el valor añadido del gestor se mide mediante el ratio financiero Alpha mientras que el binomio rentabilidad-riesgo se analiza mediante el ratio de Sharpe, tomado en varios momentos del horizonte temporal. El posible impacto se analiza, tanto de forma directa como de manera indirecta, a través del Retorno de los Fondos. También se mide la influencia de ciertas variables de control sobre el binomio como: las Divisas, el Tamaño de los Fondos, la Inversión Mínima, la Estrategia de Inversión o la Volatilidad. La muestra está compuesta por fondos de todas las áreas geográficas del mundo y la información ha sido obtenida de la base de datos de información económico-financiera Bloomberg. Inicialmente la muestra comprendía un total de 2.660 fondos, quedándose finalmente para el estudio con 709 fondos a nivel mundial. Para el desarrollo de la investigación, se utiliza un modelo de ecuaciones estructurales, basado en mínimos cuadrados parciales, también conocido como modelo PLS. En dicho modelo se diferencia entre el modelo externo y el modelo interno, así como la significatividad estadística a la hora de obtener los resultados de las diferentes hipótesis planteadas. Para la obtención de los resultados de la investigación a través del modelo PLS se han realizado tres procesos diferenciados, en primer lugar, se ha llevado a cabo el cálculo del Algoritmo PLS, posteriormente se procedió con el proceso de Bootstrapping con un total de 5.000 iteraciones y por último el proceso de Blindfolding.
The main objective of this research is the fact of analyzing the impact of fund manager’s added value regarding Socially Responsible Investment Funds (SRI) in comparison with its benchmark. In this study the fund manager’s added value is measured by the financial ratio named Alpha while the risk-adjusted performance is measured by Sharpe ratio, which is taken along a limited time framework. This possible impact is studied in a direct way as well as an indirect way by using the fund returns. It is also used a wide range of control variables in order to observe the influence on risk-adjusted performance, some of these variables are: currency, fund size, minimum initial investment, investment strategies or volatility. The sample used to develop this research is composed of a worldwide funds sample, which was taken from the financial and economic database Bloomberg. Initially this sample included 2,660 funds, which was finally shortlisted for the final sample with 709 worldwide funds. In order to carry out this study, it is used a structural equation modeling (SEM), which is based on partial least squares and it is also well-known as PLS Model. In this model is taken into consideration two different approaches, firstly an internal model and secondly an external model, as well as the fact of having statistical significance to obtain the results from the hypothesis testing. The PLS Model works in three different stages, the first one is to calculate the PLS Algorithm, the second one is the Bootstrapping process which was run 5,000 iterations and finally the process known as Blindfolding.
The main objective of this research is the fact of analyzing the impact of fund manager’s added value regarding Socially Responsible Investment Funds (SRI) in comparison with its benchmark. In this study the fund manager’s added value is measured by the financial ratio named Alpha while the risk-adjusted performance is measured by Sharpe ratio, which is taken along a limited time framework. This possible impact is studied in a direct way as well as an indirect way by using the fund returns. It is also used a wide range of control variables in order to observe the influence on risk-adjusted performance, some of these variables are: currency, fund size, minimum initial investment, investment strategies or volatility. The sample used to develop this research is composed of a worldwide funds sample, which was taken from the financial and economic database Bloomberg. Initially this sample included 2,660 funds, which was finally shortlisted for the final sample with 709 worldwide funds. In order to carry out this study, it is used a structural equation modeling (SEM), which is based on partial least squares and it is also well-known as PLS Model. In this model is taken into consideration two different approaches, firstly an internal model and secondly an external model, as well as the fact of having statistical significance to obtain the results from the hypothesis testing. The PLS Model works in three different stages, the first one is to calculate the PLS Algorithm, the second one is the Bootstrapping process which was run 5,000 iterations and finally the process known as Blindfolding.
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