Persona:
Arguedas Sanz, Raquel

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0000-0001-7368-6347
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Arguedas Sanz
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Raquel
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2014 - 201942020 - 202413
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Autor: Arguedas Sanz, Raquel × search.filters.applied.f.itemFacultad: Facultad de Ciencias Económicas y Empresariales ×

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Mostrando 1 - 10 de 17
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    Burden of Hospitalizations Related to Pneumococcal Infection in Spain (2016–2020)
    (MDPI, 2023-01-14) Gil Prieto, Ruth; Allouch, Nizar; Jimeno, Isabel; Hernández Barrera, Valentín; Gil de Miguel, Ángel; Arguedas Sanz, Raquel
    Pneumococcal infection strongly contributes to morbidity and mortality in Spain. A total of 253,899 hospitalizations related to pneumococcal infection occurred from 2016 to 2020. Fifty-eight percent were men, the mean age was 67 years old, and the average length of hospitalization was 12.72 days. The annual hospitalization rate was 10.84 hospitalizations per 10,000 population, increasing significantly with age, reaching 65.75 per 10,000 population in those aged >85 years. The hospitalization rates for pneumococcal pneumonia, sepsis, and meningitis were 2.91, 0.12, and 0.08 hospitalizations per 10,000, respectively, and reached the highest value in those aged >85 for pneumococcal pneumonia and sepsis, with 22.29 and 0.71 hospitalizations per 10,000, respectively, and in children up to 1 year old for pneumococcal meningitis, with 0.33 hospitalizations per 10,000. The total number of deaths during the study period was 35,716, with a case-fatality rate of 14.07%. For pneumococcal pneumonia, sepsis, and meningitis, the case-fatality rates were 8.47%, 23.71%, and 9.99%, respectively. The case-fatality rate increased with age and did not vary by sex. The annual cost of these hospitalizations was more than EUR 359 million. There is therefore a high burden of disease and mortality caused by pneumococcal infection in our country, especially in elderly individuals.
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    Efficiency in cryptocurrency markets: new evidence
    (Springer, 2021-07-26) López Martín, Carmen; Benito Muela, Sonia; Arguedas Sanz, Raquel
    In this paper we carried out a comprehensive study of the efficiency in the cryptocurrency markets. The markets under study are: Bitcoin, Litecoin, Ethereum, Ripple, Stellar and Monero. To studdy the efficiency of these markets, we use a set of five test which are applied in both a static context and dynamic context. The results obtained depend on both the analysis period and the methodology used to test the predictability of the return. However, some conclusions can be drawn: first, we observe that overall, the efficiency degree tends to increase with the time. Second, although the efficiency market seems to change along the period, the changes in the Bitcoin, Litecoin and Ethereum market show a clear tendency that evolves from less to more efficiency. In the case of Ripple, Stellar and Monero, periods of efficiency alternate with periods of inefficient, which is consistent with the Adaptive Market Hypothesis.
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    Barriers and challenges of the functional healthcare risk management units in hospitals of Madrid health service
    (Elsevier, 2014) Pardo Hernández, Alberto; Navarro Royo, Cristina; Albeniz Lizarraga, C.; Morón Merchante, J.; Arguedas Sanz, Raquel
    Objetivo Identificar las barreras y los retos para el desarrollo efectivo de las unidades de gestión de riesgos sanitarios en los hospitales del Servicio Madrileño de Salud. Material y métodos Estudio descriptivo transversal dirigido a los equipos directivos y a los miembros de las unidades funcionales de 31 hospitales del Servicio Madrileño de Salud. Se solicitó en forma de texto libre, dentro de un cuestionario autoadministrado, la identificación de un máximo de 5 barreras y retos y su priorización a través de la adjudicación de uno a 5 puntos de acuerdo con su importancia. Posteriormente se realizó un análisis del discurso agrupando los temas comunes y ordenándolos de acuerdo con la puntuación recibida. Resultados La tasa de respuesta global fue del 94%. Las barreras más frecuentemente identificadas fueron: falta de tiempo (21%), insuficiente cultura de seguridad (13%), escasa difusión de sus actividades (10%) y falta de formación (10%). El reto más importante fue potenciar la formación (18%), seguido de mejorar la cultura (17%), difundir las actividades de seguridad (11%) y lograr el liderazgo de los responsables de los servicios (11%). Conclusiones En las condiciones del estudio, la barrera fundamental identificada fue la falta de tiempo y el reto principal la necesidad de formación. Por ello parece necesario mejorar el apoyo organizativo a la seguridad clínica en el ámbito objeto de estudio.
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    The extreme temperature factor in asset pricing models: Evidence from Europe
    (ELSEVIER, 2024-08) González Sánchez, Mariano; Arguedas Sanz, Raquel; Segovia San Juan, Ana Isabel
    Growing concern about climate change has led to increased research into the effects of climate on markets. One of the weather variables studied is temperature. The previous studies considered that the temperature influences on asset returns through changes in investor mood. There are few studies that incorporate a risk factor to analyze the effects of temperature changes on asset returns. We extract positive and negative extreme temperature changes to design three temperature factors. By a cross-section asset pricing model, we find evidence that temperature shocks (hot and cold) show a significant monthly risk premium and skewness for temperature changes.
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    Climate transition risk in determining credit risk: evidence from firms listed on the STOXX Europe 600 index
    (Springer, 2023-04-10) Ramos García, Daniel; López Martín, Carmen; Arguedas Sanz, Raquel
    This paper assesses whether a climate factor is relevant to measure default risk in a sample of main companies listed on the STOXX Europe 600 exchange from 2010 to 2020. The starting point is a factorial panel datamodel which is subsequently modified to capture the climate impact through different functional forms.We find that relevant differences in default risk exist before and after the Paris Agreement. Our analysis also indicates that this difference cannot be explained by means of traditional financial factors. Finally, we further show that a climate change risk and opportunities label is a significant factor in evaluating credit risk, both prior to and post-Paris agreement. These results are important to the extent that they suggest that companies’ market performance itself allows to measure differences in credit risk between companies and to link them with climate risk factors. This approach may be useful as a complement or in combination with the traditional use of exogenous climate factors that have been widely used in the literature in this field.
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    A comparison of market risk measures from a twofold perspective: accurate and loss function
    (Elsevier, 2023-06-04) Benito Muela, Sonia; López Martín, Carmen; Arguedas Sanz, Raquel
    Under the new regulation based on Basel solvency framework, known as Basel III and Basel IV, financial institutions must calculate the market risk capital requirements based on the Expected Shortfall (ES) measure, replacing the Value at Risk (VaR) measure. In the financial literature, there are many papers dedicated to compare VaR approaches but there are few studies focusing in comparing ES approaches. To cover this gap, we have carried out a comprenhensive comparative of VaR and ES models applied to IBEX-35 stock index. The comparison has been carried out from a twofold perspective: accurate risk measure and loss functions. The results indicate that the method based on the conditional Extreme Value Theory (EVT) is the best in estimating market risk, outperforming Parametric method and Filter Historical Simulation.
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    Models used to characterise blockchain features. A systematic literature review and bibliometric analysis
    (Elsevier, 2023-05-01) Rico Peña, Juan Jesús; Arguedas Sanz, Raquel; López Martín, Carmen
    Blockchain has emerged as an innovative technology with potential to transform business management, through operational efficiency improvements. Nevertheless, several performance and vulnerability issues have been identified for the different typologies supporting the wide range of blockchain-based applications currently implemented in different domains. A variety of analytical and empirical models are being used to evaluate the issues associated with the different blockchain typologies, enabling systematic analyses of the corresponding efficiency impact, and technical or economic threats. A thorough systematic literature review of these models has been performed, followed by a detailed assessment on the way these models have been employed, and the target parameters and applications evaluated (336 research selected and analysed). We propose a co-classification of these models, allowing us to identify which ones are employed to a greater extent to address the different blockchain issues in scientific research. In a second step, a bibliometric analysis on the selected research is conducted, offering a complementary overview of the status of and trends in blockchain modelling, including the most prolific authors and leading contributing countries to the topic. The main outcome and contribution of the paper is the provision of a broad overview on how blockchain issues have been analytically tackled, through the synthesis and meta-analysis of the models used in the scientific literature since the inception of blockchain technology. The results have two main direct applications, firstly supporting novel vulnerability and performance analyses of existing blockchain applications by providing historical information on the models used so far, as well as the key parameters and typology of the blockchain-based applications evaluated. Secondly, in the implementation of new applications, by allowing the recognition of key issues identified that are associated with the different blockchain typologies and to determine the most suitable models to analyse the weaknesses and risks of the alternative designs under evaluation for these new implementations.
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    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.
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    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.
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    Analysis of the Influence of the Moment the Internationalization Process Begins on the Internationalization Intensity of Family and Nonfamily Businesses: An Approach Using a Tobit Model
    (MDPI, 2022-10-10) Varas Fuente, Oscar Javier; Arguedas Sanz, Raquel; Rodrigo Moya, Beatriz
    The specific characteristics of family businesses as well as the internationalization path followed can influence the intensity of the internationalization process. Many studies have analyzed how family character can influence the internationalization process of family businesses, and the results obtained have not been conclusive. Nevertheless, previous research has not sufficiently addressed the influence that the moment of initiation of the internationalization process has on the levels of internationalization achieved. Based on the behavioral agency model, the unique set of business resources (familiness), and the socioemotional wealth (SEW) perspective, this study examines, the internationalization intensity of family and nonfamily businesses in two defined groups (early internationalization and internationalization from the local market). Likewise, the effect that the entry of the second generation has on the internationalization of these companies is analyzed. To perform this analysis, Tobit regression models are estimated from a data set of panel data from the Spanish Survey on Business Strategies for small and medium-sized Spanish family businesses from 2005 to 2016, finding that family ownership and management have a negative influence on the intensity of exports, regardless of the path of internationalization followed, and that the entry of new generations has a positive relationship with the level of internationalization of these businesses. Finally, implications of the findings for research and management are discussed.