Seminario de Laureano F. Escudero

24 julio, 2018
12:00 pma1:00 pm

Speaker: Laureano F. Escudero (Universidad Rey Juan Carlos).

Title: “On capacity expansion planning under strategic and operational uncertainties for stochastic dominance risk averse-based management”.

Date: martes 24 de julio, 12:00 horas.

Localication: Sala de Seminarios del CIO (Edificio Torretamarit).

Abstract. A new scheme for dealing with uncertainty in scenario trees is presented for dynamic mixed 0-1 optimization problems with strategic and operational stochastic parameters. Let us generically name this type of problems as Capacity Expansion Planning (CEP) in a given system, e.g., supply chain, production, rapid transit network, energy generation and transmission network, forest fire management, etc. The strategic scenario tree is usually a multistage one, and the replicas of the strategic nodes root structures in the form of either a special scenario graph or a two-stage scenario tree, depending on the type of operational activity in the system. Those  operational scenario structures impact in the constraints of the model and, thus, in the decomposition methodology for solving usually large-scale problems. This work presents the modeling framework for some of the risk neutral and risk averse measures to consider for CEP problem solving. Two types of risk averse measures are considered. The first one is a time-inconsistent mixture of the chance constrained and second-order stochastic dominance (SSD) functional of the value of a given set of functions up to the strategic nodes in selected stages along the time horizon.

Economic crisis and public education. A productivity analysis using a Hicks-Moorsteen index (2018). Economic Modelling, 71, 34–44.

Juan Aparicio (University Miguel Hernandez of Elche), Laura López-Torres (University of Alcalá) and Daniel Santín (Complutense University of Madrid).

Abstract. The economic crisis forced politicians to make public finances sustainable. The education sector was one of the most adversely affected by control of public expenditure. This paper analyzes the drivers causing productivity changes of especially vulnerable public schools during the crisis. We use the Hicks-Moorsteen index, which is a seldom applied methodology that leads to feasible results under variable returns to scale. To illustrate the benefits of this index, we use a sample of 298 Catalan public primary schools between 2009 (when budgetary constraints started) and 2014. The results reveal that during the crisis schools improved their total factor productivity by raising academic achievement despite cutbacks in resources. We also found that there was a strong convergence pattern during the financial crisis, driven by the catch-up process of some schools. The findings have important policy implications, suggesting that a monitoring system should be set up for use by policy makers.

Serial concatenation of a block code and a 2D convolutional code (2018). Multidimensional Systems and Signal Processing, 29, 1-15.

Victoria Herranz (Universidad Miguel Hernández), Diego Napp (Universidade de Aveiro Campus Universitário de Santiago) and Carmen Perea (Universidad Miguel Hernández).

Abstract. In this paper we study two different concatenation schemes of twodimensional (2D) convolutional codes. We consider Fornasini–Marchesini state space representation of 2D linear systems to describe our concatenated codes. Also we present upper and lower bounds on the distance of the proposed concatenated codes.

3ª edición del Alicante Tableau User Group 2018: 19 de julio

Los grupos Tableau User Group están compuestos por usuarios de Tableau que comparten ideas, consejos y experiencias en el uso de Tableau. Existen grupos en multitudes ciudades del mundo ¡y también en Alicante! Esta edición 2018 se celebrará el 19 de julio en las instalaciones de ecommaster en Elche Parque Empresarial, el acceso es gratuito previa inscripción y las plazas son limitadas.

Lugar: instalaciones de ecommaster en Elche Parque Empresarial (C/ Santiago Ramon y Cajal, nº43, Local 6).

Fecha: jueves, 19 de julio, de 2018.

Hora: 18:00h-21:00h.

Registro de asistencia: acceso gratuito previa inscripción.

+ información de la edición:

ENMX: An elastic network model to predict the FOREX market evolution (2018). Simulation Modelling Practice and Theory, 86, 1-10.

Antonio V. Contrerasa (Universidad Católica de Murcia), Antonio Llanes (Universidad Católica de Murcia), Alberto Pérez-Bernabeu (Miguel Hernandez University), Sergio Navarro (Artificial Intelligence Talentum, S.L., Campus Universitario de Espinardo de Murcia), Horacio Pérez-Sánchez (Universidad Católica de Murcia), Jose J. López-Espín (Miguel Hernandez University), José M. Cecilia (Universidad Católica de Murcia).

Abstract. The foreign exchange (FOREX) market is a financial market in which participants, such as international banks, companies or private investors, can both invest in and speculate on exchange rates. This market is considered one of the largest financial markets in the world in terms of trading volume. Indeed, the just-in-time price prediction for a currency pair exchange rate (e.g. EUR/USD) provides valuable information for companies and investors as they can take different actions to improve their business. This paper introduces a new algorithm, inspired by the behaviour of macromolecules in dissolution, to model the evolution of the FOREX market, called the ENMX (elastic network model for FOREX market) algorithm. This algorithm allows the system to escape from a potential local minimum, so it can reproduce the unstable nature of the FOREX market, allowing the simulation to get away from equilibrium. ENMX introduces several novelties in the simulation of the FOREX market. First, ENMX enables the user to simulate the market evolution of up to 21 currency pairs, connected, and thus emulating behaviour of the realworld FOREX market. Second, the interaction between investors and each particular quotation, which may introduce slight deviations from the quotation prices, is represented by a random movement. We analyse different probability distributions like Gaussian and Pseudo-Voigt, the latter showing better behaviour distributions, to model the variations in quotation prices. Finally, the ENMX algorithm is also compared to traditional econometric approaches such as the VAR model and a driftless random walk, using a classical statistical and a profitability measure. The results show that the ENMX outperforms both models in terms of quality by a wide margin.