Persona:
Arguedas Sanz, Raquel

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ORCID
0000-0001-7368-6347
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Arguedas Sanz
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Raquel
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2017 - 20204
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Autor: Martín García, Rodrigo × search.filters.applied.f.itemFacultad: Facultad de Ciencias Económicas y Empresariales ×

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Mostrando 1 - 4 de 4
  • Miniatura
    Publicación
    Collaborative Learning Communities for Sustainable Employment through Visual Tools
    (MDPI, 2020-03-24) Martín García, Rodrigo; López Martín, Carmen; Arguedas Sanz, Raquel
    Higher education institutions must enable students to acquire skills and capacities that prepare them for working life and enhance their employability. This will lead to an applied learning- and teaching-enhancement-oriented sustainable Higher Education System. This research aims to contribute to that goal by analyzing student interactions in a collaborative learning community. It assesses the impact of visual tools on academic performance and student satisfaction in employment-focused blended studies, in which enrollees were geographically dispersed undergraduates with a diversity of profiles. A financial studies learning community was created to test students’ interactions in a model conducive to participation as visual content creators and users. Three surveys (pre-project, appraisal of classmates’ visual exercises, and post-project) were conducted to assess project impact. First, we used a univariate approach, focused on students’ characteristics, course and project appraisals, and the eects of the project on academic performance and expectations. Secondly, a bivariate approach was conducted to detect relationships between respondents’ appraisals and personal characteristics and to determine whether their mean scores were the same irrespective of such characteristics. The findings showed that: (1) Students’ preferences concur with those of their employers; (2) participation in innovative initiatives improves students’ perception of course procedures; (3) visual tools have a positive impact on learning, in terms of both academic performance and student satisfaction. The study concludes by providing support for educational institutions´ decision-making around courses and the overall curricula by defining the factors determining academic performance and student satisfaction.
  • Miniatura
    Publicación
    Innovation in the University: Perception, Monitoring and Satisfaction
    (IEEE, 2018-08-03) Vicente Vírseda, Juan Antonio; Arguedas Sanz, Raquel; Martín García, Rodrigo; González Arias, Julio
    A blended learning teaching experience conducted at Spain's National Distance University is described. The project consisted of integrating technology (a virtual learning platform) and teaching methodologies (multimedia contents, weekly deliverables, continuous self-assessment, mentoring, a four-month timetable, and webinars) to enhance student engagement, performance, and satisfaction. A statistical study showed that self-assessment and professor monitoring are key issues in students' initial perception and ultimate satisfaction as well as the most effective tools for preventing dropout. Project participants had a lower dropout rate and higher grades than non-participants.
  • Miniatura
    Publicación
    Patrón de comportamiento explicativo de las ofertas públicas de adquisición de acciones en el sector inmobiliario. El caso de España
    (Elsevier, 2017-02-07) González Arias, Julio; Arguedas Sanz, Raquel; Martín García, Rodrigo
    La tendencia alcista del sector inmobiliario espa˜nol (2000-2007) provocó el crecimiento excesivo de muchas empresas, principalmente mediante adquisiciones. Esta investigación pretende identificar patrones de comportamiento para la realización de OPAs en el sector inmobiliario espa˜ nol, particularmente castigado por la crisis financiera. Para ello, se ha analizado un conjunto de 20 variables económico-financieras y su relación con la participación de las compa˜nías cotizadas del sector en este tipo de operaciones, para un total de 354 casos para el periodo 2000-2012, como adquirentes y adquiridas. Para ello, se ha empleado una metodología en dos etapas. En primer lugar, se ha aplicado el Método de Componentes Principales para acotar las variables de estudio consideradas con mayor capacidad explicativa. En segundo lugar, se ha construido un modelo predictivo basado en árboles de decisión, concretamente de tipo CHAID, que permite categorizar el conjunto de empresas analizadas y discriminar patrones de comportamiento. Los cinco factores principales con mayor capacidad explicativa son: a) liquidez, solvencia y capacidad de endeudamiento; b) tama˜no; c) resultado económico; d) capacidad operativa, y e) resultado financiero. De hecho, los dos primeros explican conjuntamente en torno al 70% de la variable dependiente, considerando principalmente a empresas adquirentes. El modelo propuesto cuenta con un nivel de explicación global cercano al 80%. El porcentaje restante que no explica el modelo responde fundamentalmente a cuestiones de tipo estratégico, de especulación financiera e intereses particulares, entre otros factores que concurren en la toma de decisiones.
  • Miniatura
    Publicación
    Temporal optimisation of signals emitted automatically by securities exchange indicators
    (Universidad del País Vasco UPV/EHU, 2020-11-27) Ventura Pérez, Enrique; Martín García, Rodrigo; Arguedas Sanz, Raquel
    Stock exchange indicators deliver buy/sell signals that enable analysts to improve the results of a strategy based strictly on fundamental analysis. Nonetheless, since the automatic implementation of signals as they appear may not yield optimal returns, the present paper analysed the suitability of using a series of technical indicators as guidance for portfolio results. A second aim pursued was to study how delaying the implementation of indicator signals may enhance profitability. A simulation was performed for the years 2005-2016 using the most representative index for the Spanish stock exchange, the IBEX35 and all its constituent securities, along with seven indicators (RoC, RSI, SMA, EMA, MACD, Bollinger bands and Stochastic Oscillator) and a total of 81 combinations of buy/sell lag times. The definition of three non-overlapping sub-periods to guarantee the reliability of the findings yielded a total of 61 236 simulated portfolios. The conclusion drawn from the results was that for certain combinations of indicators, delaying the implementation of buy/sell signals improves returns. More specifically, optimal lag times identified for RSI and EMA signals were shown to deliver statistically significant improvements in portfolio returns, irrespective of the period studied. Those findings were consistent the results of an alternative simulation in which the five securities that were both the most liquid and had the greatest impact on the index were not considered, to rule out the possible effect of the relative weight of securities on either portfolio returns or their normalisation