Are one factor logarithmic volatility models useful to fit the features of financial data? An application to microsoft data.

This paper provides empirical evidence that continuous time models with one factor of volatility, in some conditions, are able to fit the main characteristics of financial data. It also reports the importance of the feedback factor in capturing the strong volatility clustering of data, caused by a possible change in the pattern of volatility in the last part of the sample. We use the Efficient Method of Moments (EMM) by Gallant and Tauchen (1996) to estimate logarithmic models with one and two stochastic volatility factors (with and without feedback) and to select among them.

Can genetic algorithms explain experimental anomalies? An application to common property resources

It is common to find in experimental data persistent oscillations in the aggregate outcomes and high levels of heterogeneity in individual behavior. Furthermore, it is not unusual to find significant deviations from aggregate Nash equilibrium predictions. In this paper, we employ an evolutionary model with boundedly rational agents to explain these findings. We use data from common property resource experiments (Casari and Plott, 2003). Instead of positing individual-specific utility functions, we model decision makers as selfish and identical. Agent interaction is simulated using an individual learning genetic algorithm, where agents have constraints in their working memory, a limited ability to maximize, and experiment with new strategies. We show that the model replicates most of the patterns that can be found in common property resource experiments.

A proposal for a new specification for a conditionally heteroskedastic variance model: the Quadratic Moving-Average Conditional Heteroskedasticity and an application to the D. Mark-U.S. dollar Exchange Rate

Ever since the appearance of the ARCH model [Engle(1982a)], an impressive array of variance specifications belonging to the same class of models has emerged [i.e. Bollerslev's (1986) GARCH; Nelson's (1990) EGARCH]. This recent domain has achieved very successful developments. Nevertheless, several empirical studies seem to show that the performance of such models is not always appropriate [Boulier(1992)]. In this paper we propose a new specification: the Quadratic Moving Average Conditional heteroskedasticity model. Its statistical properties, such as the kurtosis and the symmetry, as well as two estimators (Method of Moments and Maximum Likelihood) are studied. Two statistical tests are presented, the first one tests for homoskedasticity and the second one, discriminates between ARCH and QMACH specification. A Monte Carlo study is presented in order to illustrate some of the theoretical results. An empirical study is undertaken for the DM-US exchange rate.

Hausman tests for inefficient estimators: application to demand for health care service (revised)

The Hausman (1978) test is based on the vector of differences of two estimators. It is usually assumed that one of the estimators is fully efficient, since this simplifies calculation of the test statistic. However, this assumption limits the applicability of the test, since widely used estimators such as the generalized method of moments (GMM) or quasi maximum likelihood (QML) are often not fully efficient. This paper shows that the test may easily be implemented, using well-known methods, when neither estimator is efficient. To illustrate, we present both simulation results as well as empirical results for utilization of health care services.

An input-output analysis of the "key" sectors in CO2 emissions from a production perspective: an application to the spanish economy

Here we present an approach that allows the identification of the "key" productive sectors responsible for CO2 emission. For this purpose, we develop an input–output methodology from a supply perspective. We focus on the impact of an increase in the value-added of the different productive sectors on total CO2 emissions and we identify the productive sectors responsible for the increase in CO2 emissions when there is an increase in the income of the economy. The approach shows the contribution of the various sectors to CO2 emission from a production perspective and allows us to identify the sectors that deserve more consideration for mitigation policies. This analysis is complementary to the input–output analysis from a demand perspective. The methodology is applied to the Spanish economy.

Lp-solutions to BSDEs with super-linear growth coefficient. Application to degenerate semilinear PDEs.

We consider multidimensional backward stochastic differential equations (BSDEs). We prove the existence and uniqueness of solutions when the coefficient grow super-linearly, and moreover, can be neither locally Lipschitz in the variable y nor in the variable z. This is done with super-linear growth coefficient and a p-integrable terminal condition (p & 1). As application, we establish the existence and uniqueness of solutions to degenerate semilinear PDEs with superlinear growth generator and an Lp-terminal data, p & 1. Our result cover, for instance, the case of PDEs with logarithmic nonlinearities.

Model-based diagnosis system: application to constructed wetlands

Report for the scientific sojourn carried out at the Model-based Systems and Qualitative Reasoning Group (Technical University of Munich), from September until December 2005. Constructed wetlands (CWs), or modified natural wetlands, are used all over the world as wastewater treatment systems for small communities because they can provide high treatment efficiency with low energy consumption and low construction, operation and maintenance costs. Their treatment process is very complex because it includes physical, chemical and biological mechanisms like microorganism oxidation, microorganism reduction, filtration, sedimentation and chemical precipitation. Besides, these processes can be influenced by different factors. In order to guarantee the performance of CWs, an operation and maintenance program must be defined for each Wastewater Treatment Plant (WWTP). The main objective of this project is to provide a computer support to the definition of the most appropriate operation and maintenance protocols to guarantee the correct performance of CWs. To reach them, the definition of models which represent the knowledge about CW has been proposed: components involved in the sanitation process, relation among these units and processes to remove pollutants. Horizontal Subsurface Flow CWs are chosen as a case study and the filtration process is selected as first modelling-process application. However, the goal is to represent the process knowledge in such a way that it can be reused for other types of WWTP.

Effects of competition over quality-adjusted price indexes: an application to the Spanish automobile market

Using a newly constructed data set, we calculate quality-adjusted price indexes after estimating hedonic price regressions from 1988 to 2004 in the Spanish automobile market. The increasing competition was favoured by the removal of trade restrictions and the special plans for the renewal of the Spanish automobile fleet. We find that the increasing degree of competition during those years led to an overall drop in automobile prices by 20 percent which implied considerable consumer gains thanks to higher market efficiency. Additionally, our results indicate that loyalty relevance and discrepancies in automobile reliability declined during those years. This is captured.

An application of MSIASM to Chinese exosomatic energy metabolism

The methodology of Multi-Scale Integrated The methodology of Multi-Scale Integrated Analysis of Societal Metabolism (MSIASM) is applied to analyze the Chinese economy. This paper presents four tasks: (i) identifying a set of benchmarks that makes it possible to compare various characteristics of the Chinese economy with those of other country groups and the world (level) average; (ii) explaining the differences over the selected set of benchmarks, by looking at the characteristics of the various sub-sectors of the Chinese economy; (iii) understanding existing trends and future feasible future development paths for China by studying the existence of reciprocal constraints between the whole economy and its sub-sectors; and (iv) examining plausible future scenarios of development.

Memory in contracts: the experience of the EBRD (1991-2003)

The objective of this paper is to identify the role of memory in repeated contracts with moral hazard in financial intermediation. We use the database we have built containing the contracts signed by the European Bank for Reconstruction and Development EBRD between 1991 and 2003. Our framework is a standard setting of repeated moral hazard. After having controlled for the adverse selection component, we are able to prove that client reputation is the discrimination device according to which the bank fixes the amount of credit for the established clients. Our results unambiguously isolate the effect of memory in the bank's lending decisions.

Gestión de productos de una empresa dedicada a la moda

Aquesta memòria ha estat realitzada per donar a conèixer el project que du per títol "Gestió de productes d'una empresa dedicada a la moda". Aquesta aplicació intentarà introduir en el mercat una solució per a les petites empreses que volen fer-se un lloc en el món de la moda i que necessiten un programari per poder gestionar les seves botigues. En aquest sector existeixen petits empresaris que van començar realitzant les peces de roba a les seves fàbriques i que han decidit fer petites col·leccions i posar-les a la venda al detall, a les seves propies franquícies. Aquesta aplicació mostra un mòdul d'un projecte molt més gran. El mòdul s'encarrega de la gestió dels articles creats a fàbrica, per poder distribuir-los entre les botigues. Un possible segon mòdul es dedicaria a la gestió de les vendes a les botigues.

Oracle teleservice

Aquest projecte es basa en la implantació del mòdul Oracle Service del producte de CRM d'Oracle. Aquest mòdul ens proporciona la funcionalitat necessària per gestionar tot allò relacionat amb el Servei d’Atenció a l'Usuari. Mirarem d'oferir una visió àmplia basada en el concepte de CRM i en les seves claus d’èxit, així com en la importància de l'organització i de la reestructuració empresarial que se'n deriva. Utilitzarem l'estratègia d’implantació ràpida que proporciona Oracle i descriurem la manera de parametritzar el mòdul Oracle Service amb la finalitat de portar l’estandard a la solució desitjada pel client de manera ràpida i eficaç.

Implantación de un ERP en una compañía de apuestas por Internet

Aquest projecte intenta cobrir les necessitats que genera una empresa nova que vol vendre loteria a Internet. Es necessita tenir ben definits els circuits de compra, de venda, de facturació, de control d'existències, de cobraments i de pagaments, entre d'altres. Per gestionar tota aquesta activitat, s’ha fet servir el ERP Navision amb SQL Server, adaptant-lo i creant noves funcionalitats. L'aplicació Web ha estat integrada amb Navision i s'ha desenvolupat la seva funcionalitat, tenint sessions per a usuari amb comptes propis que permeten la consulta i la compra dels productes que ofereix l'empresa.

Sistema de control remot d'una màquina de rajos X via web

El projecte desenvolupat té com a objectiu la millora en la gestió de la configuració de les màquines de rajos X de l'empresa Varpe. La principal funció d’aquestes màquines és la inspecció d'envasos de productes alimentaris, amb l'objectiu de detectar anomalies produïdes durant l'envasat. En l'actualitat la resolució d'incidències d'aquestes màquines requereix el desplaçament físic d'operaris a les localitzacions on estan situades les màquines. El projecte proporciona una nova forma de treball a partir de l'ús de bases de dades distribuïdes en les màquines de rajos X i que són gestionades per un servidor central. Entre d'altres, la principal avantatge d'aquesta gestió és que la reconfiguració i resolució d'indecències es pot realitzar fàcilment a través d'una aplicació web.