Gender diversity on boards of directors and remuneration committees: The influence on listed companies in Spain

Women have traditionally been underrepresented on boards of companies, but after some social and legal pressure their presence has been increased during recent years. This paper examines the relation of the presence of female directors both at board meetings and at audit and remuneration committees, with CEO pay and the shareholders' consultative vote on managerial remuneration plans (“say on pay”). Using a large sample of Spanish firms listed between 2011 and 2015, our study reveals that firms with female representation on their remuneration committee, display lower levels of CEO pay and CEO pay growth. We also obtain evidence that this effect is attributable to the proprietary female directors. Additionally, from the “say on pay” perspective, female membership of the remuneration committee is associated with a lower number of votes in terms of director remuneration reports and related policies. Overall, our results indicate that female directors on the remuneration committee contribute to a moderation of executive remuneration growth and are consequently perceived by shareholders as valuable resources in the design of executive remuneration plans. This confirms the influence of the minority group, females, in the sustainable progress of these companies. Our results support the presence of female directors not only as a social measure or tokenism, but also as a contribution to good governance practice

Olympic combat sports research output in the Web of Science: a sport sciences centered analysis

P. 21-27Antecedentes y objetivos: los Juegos Olímpicos son la competición deportiva más importante del mundo, y se ha considerado que las Ciencias del Deporte juegan un papel importante para el éxito deportivo en los Juegos Olímpicos. Los deportes de combate de boxeo, esgrima, judo, taekwondo y lucha representan el 20-25% de todas las medallas disputadas en esta competición, y el Karate se incluirá en los Juegos Olímpicos de Tokio en 2020. En este contexto, este estudio tuvo como objetivo describir el escenario de la ciencia. Investigación sobre deportes de combate olímpico en el campo de las ciencias del deporte. Metodología: la búsqueda de datos se realizó en el área de base de datos de la colección principal de Web of Science de Ciencias del Deporte. Las variables seleccionadas para el análisis fueron el número total de publicaciones, el índice h, el análisis de citas y los diez tipos principales de documentos, países, instituciones de investigación, idiomas y revistas. Resultados: se recuperaron un total de 2752 publicaciones, con un índice h de 74, 34, 255 citas y un promedio de 12,45 citas por artículo. La investigación se publicó principalmente en inglés (95,35%), en forma de artículo (75,14%) y en los Estados Unidos de América (27,87%), mientras que la Universidad de Sao Paulo (4,69%) y Medicina y Ciencia en el Deporte y el Ejercicio ( 11.56%) fueron respectivamente la institución y la fuente que lideraron sus diez listas principales. Conclusión: la literatura sobre deportes de combate indexada en la base de datos de Web of Science representó casi el 1% del área de investigación de Ciencias del Deporte, lo que demuestra que este campo de estudio aún está comenzando a consolidarse. La conexión entre la práctica deportiva y la investigación, la indexación de más revistas de deportes de combate y el aumento en el número y la colaboración entre los investigadores se sugieren como posibles formas de fortalecer la investigación deportiva de combateS

Municipal water demand forecasting: Tools for intervention time series

This article introduces some approaches to common issues arising in real cases of water demand prediction. Occurrences of negative data gathered by the network metering system and demand changes due to closure of valves or changes in consumer behavior are considered. Artificial neural networks (ANNs) have a principal role modeling both circumstances. First, we propose the use of ANNs as a tool to reconstruct any anomalous time series information. Next, we use what we call interrupted neural networks (I-NN) as an alternative to more classical intervention ARIMA models. Besides, the use of hybrid models that combine not only the modeling ability of ARIMA to cope with the time series linear part, but also to explain nonlinearities found in their residuals, is proposed. These models have shown promising results when tested on a real database and represent a boost to the use and the applicability of ANNs.This work has been supported by project IDAWAS, DPI2009-11591, of the Direccion General de Investigacion of the Ministerio de Ciencia e Innovacion of Spain, and ACOMP/2010/146 of the Conselleria de Educacion of the Generalitat Valenciana. As well, the authors are grateful to "Aguas de Murcia" for the collaboration in this work and for the availability of the data.This work has been supported by project IDAWAS, DPI2009-11591, of the Direccion General de Investigacion of the Ministerio de Ciencia e Innovacion of Spain, and ACOMP/2010/146 of the Conseller a de Educacion of the Generalitat Valenciana. As well, the authors are grateful to "Aguas de Murcia" for the collaboration in this work and for the availability of the data.Herrera Fernández, AM.; García-Díaz, JC.; Izquierdo Sebastián, J.; Pérez García, R. (2011). Municipal water demand forecasting: Tools for intervention time series. Stochastic Analysis and Applications. 29(6):998-1007. https://doi.org/10.1080/07362994.2011.610161S9981007296Zhou, S. ., McMahon, T. ., Walton, A., & Lewis, J. (2002). Forecasting operational demand for an urban water supply zone. Journal of Hydrology, 259(1-4), 189-202. doi:10.1016/s0022-1694(01)00582-0Bougadis, J., Adamowski, K., & Diduch, R. (2005). Short-term municipal water demand forecasting. Hydrological Processes, 19(1), 137-148. doi:10.1002/hyp.5763Jain, A., & Ormsbee, L. E. (2002). Short-term water demand forecast modeling techniques-CONVENTIONAL METHODS VERSUS AI. Journal - American Water Works Association, 94(7), 64-72. doi:10.1002/j.1551-8833.2002.tb09507.xPeña, D., Tiao, G. C., & Tsay, R. S. (Eds.). (2000). A Course in Time Series Analysis. Wiley Series in Probability and Statistics. doi:10.1002/9781118032978et al. 2000 . Mining Time Series of Meteorological Variables Using Rough Sets—A Case Study, Binding Environmental Sciences and Artificial Intelligent. BESAI 2000, Germany, 7:1–8.Herrera, M., Torgo, L., Izquierdo, J., & Pérez-García, R. (2010). Predictive models for forecasting hourly urban water demand. Journal of Hydrology, 387(1-2), 141-150. doi:10.1016/j.jhydrol.2010.04.005McLeod, A. I., & Vingilis, E. R. (2005). Power Computations for Intervention Analysis. Technometrics, 47(2), 174-181. doi:10.1198/004017005000000094Box, G. E. P., & Tiao, G. C. (1975). Intervention Analysis with Applications to Economic and Environmental Problems. Journal of the American Statistical Association, 70(349), 70-79. doi:10.1080/01621459.1975.10480264Zhang, G. P., & Qi, M. (2005). Neural network forecasting for seasonal and trend time series. European Journal of Operational Research, 160(2), 501-514. doi:10.1016/j.ejor.2003.08.037Zealand, C. M., Burn, D. H., & Simonovic, S. P. (1999). Short term streamflow forecasting using artificial neural networks. Journal of Hydrology, 214(1-4), 32-48. doi:10.1016/s0022-1694(98)00242-xWang, W., Gelder, P. H. A. J. M. V., Vrijling, J. K., & Ma, J. (2006). Forecasting daily streamflow using hybrid ANN models. Journal of Hydrology, 324(1-4), 383-399. doi:10.1016/j.jhydrol.2005.09.032Kneale , P. , See , L. , and Smith , A. 2001 .Towards Defining Evaluation Measures for Neural Network Forecasting Models; Proceedings of the Sixth International Conference on GeoComputation, University of Queensland, Australia.Peña, D., & Rodríguez, J. (2002). A Powerful Portmanteau Test of Lack of Fit for Time Series. Journal of the American Statistical Association, 97(458), 601-610. doi:10.1198/016214502760047122Peña, D., & Rodríguez, J. (2006). The log of the determinant of the autocorrelation matrix for testing goodness of fit in time series. Journal of Statistical Planning and Inference, 136(8), 2706-2718. doi:10.1016/j.jspi.2004.10.026LJUNG, G. M., & BOX, G. E. P. (1978). On a measure of lack of fit in time series models. Biometrika, 65(2), 297-303. doi:10.1093/biomet/65.2.297MONTI, A. C. (1994). A proposal for a residual autocorrelation test in linear models. Biometrika, 81(4), 776-780. doi:10.1093/biomet/81.4.77

Combat Sports (1934), by Captain Bádenas-Padilla: analysis of an outstanding handbook in the modern history of martial arts and combat sports in Spain

P. 126-127Artículo que analiza un manual pionero publicado en 1934 por José Bádenas Padilla, sobre deportes de combate. Recoge los contenidos presentados a: World Scientific Congress of Combat Sports and Martial Arts (5. 2016. Rio Maior)S

Combat Sports (1934), by Captain Bádenas-Padilla: analysis of an outstanding handbook in the modern history of martial arts and combat sports in Spain

[EN] In 1934, Captain José Bádenas‐Padilla (1902–1936), a professor of the Escuela Central de Gimnasia de Toledo..