Kálim y el dragón

La Universidad Autónoma del Estado de México reúne en este libro cinco cuentos cortos de Miguel Ángel Contreras Nieto: “Kálim y el dragón”, “La Leyenda de Don Beltrán”, “Chano”, “Derek y la Princesa” y “Prakash de la India”, inscritos en el territorio de la literatura fantástica. “Kálim y el dragón” y “La leyenda de Don Beltrán” pertenecen a la tradición de los relatos de caballería, “Derek y la Princesa”, a los cuentos occidentales para niños, y “Prakash de la India”, a la literatura oriental, hermanado con Las mil y una noches. Por otro lado, “Chano” nos recuerda las leyendas mexicanas decimonónicas, como “La llorona”. Todos los cuentos están bellamente recreados por el trazo maestro de Carlos Badillo

Asset pricing and systematic liquidity risk: An empirical investigation of the Spanish stock market.

Systematic liquidity shocks should affect the optimal behavior of agents in financial markets. Indeed, fluctuations in various measures of liquidity are significantly correlated across common stocks. Accordingly, this paper empirically analyzes whether Spanish average returns vary cross sectionally with betas estimated relative to three competing liquidity risk factors. The first one, proposed by Pastor and Stambaugh (2003), is associated with the temporary price fluctuation reversals induced by the order flow. Our market-wide liquidity factor is defined as the difference between returns highly sensitive to changes in the relative bid–ask spread and returns with low sensitivities to those changes. Finally, the aggregate ratio of absolute stock returns to euro volume, as suggested by Amihud [J. Financ. Mark. 5 (2002) 31], is also employed. Our empirical results show that systematic liquidity risk is significantly priced in the Spanish stock market exclusively when betas are measured relative to the illiquidity risk factor based on the price response to one euro of trading volume on either unconditional or conditional versions of liquidity-based asset pricing models.Systematic liquidity risk; Expected returns; Bid–ask spread; Order flow; Trading volume;

Optimal Fair Scheduling in S-TDMA Sensor Networks for Monitoring River Plumes

Underwater wireless sensor networks (UWSNs) are a promising technology to provide oceanographers with environmental data in real time. Suitable network topologies to monitor estuaries are formed by strings coming together to a sink node.This network may be understood as an oriented graph. A number of MAC techniques can be used in UWSNs, but Spatial-TDMA is preferred for fixed networks. In this paper, a scheduling procedure to obtain the optimal fair frame is presented, under ideal conditions of synchronization and transmission errors. The main objective is to find the theoretical maximum throughput by overlapping the transmissions of the nodes while keeping a balanced received data rate from each sensor, regardless of its location in the network. The procedure searches for all cliques of the compatibility matrix of the network graph and solves a Multiple-Vector Bin Packing (MVBP) problem. This work addresses the optimization problem and provides analytical and numerical results for both the minimum frame length and the maximum achievable throughput

Meteorological Forecasting for renewable energy plants. A case study of two energy plants in Spain

Energy resources are the engines that drive every economy [1], [4], [14], Therefore, it is necessary to develop their exploitation in a friendlier, environmentally and sustainable way indeed it is a critically needed nowadays. Then, it is necessary to improve efficiency and optimize renewable energy in order that replace polluting energy sources. This work aims to relate the use of forecasting on meteorological variables such as wind speed, wind direction, solar radiation, among others, obtained by mathematical models implemented on computer to forecast energy production in renewable energies plants. It has been implemented and automated one of the most used models by the scientific community in this field, WRF (Weather Research and Forecasting Model). WRF is a next generation mesoscale model, designed to serve as a tool for meteorological research in addition to provide forecasts in operational regime. This research introduce the topic of energy forecast, mainly of renewable energy, focusing on wind and solar energy, basing the study on a better forecasting of meteorological variables in order to use as income in energy production forecast. A case study in two Spanish renewable energy plants is exposed.

Asset pricing and systematic liquidity risk: An empirical investigation of the Spanish stock market

Systematic liquidity shocks should affect the optimal behavior of agents in financial markets. Indeed, fluctuations in various measures of liquidity are significantly correlated across common stocks. Accordingly, this paper empirically analyzes whether Spanish average returns vary cross sectionally with betas estimated relative to three competing liquidity risk factors. The first one, proposed by Pastor and Stambaugh (2003), is associated with the temporary price fluctuation reversals induced by the order flow. Our market-wide liquidity factor is defined as the difference between returns highly sensitive to changes in the relative bid–ask spread and returns with low sensitivities to those changes. Finally, the aggregate ratio of absolute stock returns to euro volume, as suggested by Amihud [J. Financ. Mark. 5 (2002) 31], is also employed. Our empirical results show that systematic liquidity risk is significantly priced in the Spanish stock market exclusively when betas are measured relative to the illiquidity risk factor based on the price response to one euro of trading volume on either unconditional or conditional versions of liquidity-based asset pricing models.Publicad

Asset Pricing and Systematic Liquidity Risk: an Empirical Investigation of the Spanish Stock Market

XI Foro de Finanzas del Nuevo Milenio. Alicante, 13 - 14 de noviembre, 2003.Systematic liquidity shocks should affect the optimal behavior of agents in financial markets. Indeed, fluctuations in various measures of liquidity are significantly correlated across common stocks. Accordingly, this paper empirically analyzes whether Spanish average returns vary cross-sectionally with betas estimated relative to two competing liquidity risk factors. The first one, proposed by Pastor and Stambaugh (2002), is associated with the strength of volume-related return reversals. Our marketwide liquidity factor is defined as the difference between returns highly sensitive to changes in the relative bid-ask spread and returns with low sensitivities to those changes. Our empirical results show that neither of these proxies for systematic liquidity risk seems to be priced in the Spanish stock market. Further international evidence is deserved.Publicad

Estudio comparativo de la adaptación al espacio europeo de educación superior en asignaturas del segundo ciclo de ingeniería informática

Nowadays the Spanish Universities are deeply involved in an adaptation process from the university studies to the European Higher Education Space (EHES) in order to reach the European convergence by means of a series of established criteria which are getting progressively in practice in the different Universities and, among them, in the University of Córdoba. In this paper, we have attempted to capture the experience carried out in the application of the established approach corresponding with the ECTS credits during the academic course 2005/2006 for two subjects belonging to the Second Cycle of Computer Engineer. The studied aspects have been: the management and scheduling of the educational contents, the impact produced in the way of learning by the use of the new technologies and the teaching development along the course. Also, we describe and analyze the educational results obtained by the application of the interactive methodologies combined with the use of new technologies in order to provide the students with a background in agreement with the work market request.En la actualidad las Universidades Españolas están inmersas en un proceso de adaptación de las titulaciones universitarias al Espacio Europeo de Educación Superior (EEES) para lograr la convergencia europea mediante una serie de criterios establecidos que se están llevando a la práctica de manera progresiva en las distintas universidades y, por lo tanto, en la Universidad de Córdoba. En este trabajo se ha intentado plasmar la experiencia llevada a cabo durante el curso académico 2005/2006 de dos de las asignaturas impartidas en el Segundo Ciclo de Ingeniero Informático mediante los criterios establecidos en la aplicación de créditos ECTS. Los aspectos estudiados han sido: la gestión y distribución temporal de los contenidos docentes, el impacto producido por el uso de las nuevas tecnologías y el desarrollo de la docencia. Se describen y analizan los resultados obtenidos en la aplicación de las metodologías interactivas combinadas con el uso de nuevas tecnologías para una preparación del alumnado más acorde con el mercado de trabajo

Study of the Applicability Domain of the QSAR Classification Models by Means of the Rivality and Modelability Indexes

The reliability of a QSAR classification model depends on its capacity to achieve confident predictions of new compounds not considered in the building of the model. The results of this external validation process show the applicability domain (AD) of the QSAR model and, therefore, the robustness of the model to predict the property/activity of new molecules. In this paper we propose the use of the rivality and modelability indexes for the study of the characteristics of the datasets to be correctly modeled by a QSAR algorithm and to predict the reliability of the built model to prognosticate the property/activity of new molecules. The calculation of these indexes has a very low computational cost, not requiring the building of a model, thus being good tools for the analysis of the datasets in the first stages of the building of QSAR classification models. In our study, we have selected two benchmark datasets with similar number of molecules but with very different modelability and we have corroborated the capacity of the predictability of the rivality and modelability indexes regarding the classification models built using Support Vector Machine and Random Forest algorithms with 5-fold cross-validation and leave-one-out techniques. The results have shown the excellent ability of both indexes to predict outliers and the applicability domain of the QSAR classification models. In all cases, these values accurately predicted the statistic parameters of the QSAR models generated by the algorithm