Measuring fund performance using multi-factor models: evidence for the Portuguese market

This paper examines the performance of Portuguese equity funds investing in the domestic and in the European Union market, using several unconditional and conditional multi-factor models. In terms of overall performance, we find that National funds are neutral performers, while European Union funds under-perform the market significantly. These results do not seem to be a consequence of management fees. Overall, our findings are supportive of the robustness of conditional multi-factor models. In fact, Portuguese equity funds seem to be relatively more exposed to smallcaps and more value-oriented. Also, they present strong evidence of time-varying betas and, in the case of the European Union funds, of time-varying alphas too. Finally, in terms of market timing, our tests suggest that mutual fund managers in our sample do not exhibit any market timing abilities. Nevertheless, we find some evidence of timevarying conditional market timing abilities but only at the individual fund level.

Models for the Reverse Engineering of Java/Swing Applications

Abstract. Interest in design and development of graphical user interface (GUIs) is growing in the last few years. However, correctness of GUI's code is essential to the correct execution of the overall software. Models can help in the evaluation of interactive applications by allowing designers to concentrate on its more important aspects. This paper describes our approach to reverse engineering abstract GUI models directly from the Java/Swing code.

Color Models and Illumination Changes

Color model representation allows characterizing in a quantitative manner, any defined color spectrum of visible light, i.e. with a wavelength between 400nm and 700nm. To accomplish that, each model, or color space, is associated with a function that allows mapping the spectral power distribution of the visible electromagnetic radiation, in a space defined by a set of discrete values that quantify the color components composing the model. Some color spaces are sensitive to changes in lighting conditions. Others assure the preservation of certain chromatic features, remaining immune to these changes. Therefore, it becomes necessary to identify the strengths and weaknesses of each model in order to justify the adoption of color spaces in image processing and analysis techniques. This chapter will address the topic of digital imaging, main standards and formats. Next we will set the mathematical model of the image acquisition sensor response, which enables assessment of the various color spaces, with the aim of determining their invariance to illumination changes.

Extracting and verifying coordination models from source code

Current software development relies increasingly on non-trivial coordination logic for com- bining autonomous services often running on di erent platforms. As a rule, however, in typical non-trivial software systems, such a coordination layer is strongly weaved within the application at source code level. Therefore, its precise identi cation becomes a major methodological (and technical) problem which cannot be overestimated along any program understanding or refactoring process. Open access to source code, as granted in OSS certi cation, provides an opportunity for the devel- opment of methods and technologies to extract, from source code, the relevant coordination information. This paper is a step in this direction, combining a number of program analysis techniques to automatically recover coordination information from legacy code. Such information is then expressed as a model in Orc, a general purpose orchestration language

Mediação: Confiança versus Responsabilidade

A mediação aparece inserida num movimento de reformas do sistema judiciário europeu como forma de responder imediatamente á descrença dos cidadãos nas estruturas do poder judicial e na eficiência da justiça. A mediação, per si, coloca a questão do elenco da confiança e da responsabilidade entre duas pessoas, como conceito define-se justamente na relação dialógica confiança/responsabilidade que produz efeitos na esfera jurídica dos interessados, as partes que decidem resolver o litígio recorrendo á intervenção de um terceiro, o mediador. É um meio extrajudicial de resolução de litígios, com carácter privado, informal, confidencial, voluntário e de natureza não conscienciosa, na qual as partes com a sua participação activa e directa, são auxiliadas por um mediador a encontrar por si próprias, uma solução negociada e amigável para o conflito. A sua natureza não conscienciosa impõe o respeito pelos princípios da cooperação e da boa fé, com vista a alcançar, de forma concertada, resultado consensual, que satisfaça ambas as partes. Neste âmbito a confiança e a responsabilidade são os dois pólos de um meridiano denominado de mediação: por meio de- através de-chegar a um acordo. Se por um lado a confiança é um elemento constitutivo da relação fática e simples de consenso porque não se trata nenhum negocio jurídico, contrato em especial, nem mero ato jurídico- por outro lado, o mediador pode ser responsável pela falta de acordo. Mas o apuramento desta responsabilidade pode não ser visível através dos óculos de culpa grosseira vertida no artigo 16º da Portaria 1112/2005 de 28 de Outubro. Efectivamente, as partes que recorrem a este meio alternativo de resolução de litígios têm direito a esperar que o mediador cumpra a lei, mas tal pode não acontecer. Assim, o exercício da mediação é ou pode ser uma fonte de responsabilidade quando o mediador viola os seus deveres, ainda que não de forma dolorosa, intencional. Ora se o Estado quer que os cidadãos acreditem nos meios extra judiciais, confiem na mediação dos Julgados de Paz, então deve promover no sentido de dizer claramente que esta atento ao desempenho do mediador, e que se advier um dano para o cidadão, o Estado deverá assumir a responsabilidade.

Saúde versus Neoliberalismo

A pergunta é simples: para que é que afinal serve a Constituição? Será para fazer dos pobres cada vez mais pobres e dos ricos cada vez mais ricos? Será para deixar morrer os velhos na valeta, acabar com o Serviço Nacional de Saúde ou com a ADSE?; Abstract: The question is simple: what it is that ultimately serves the Constitution? Will be to make the poor poorer and the rich richer? Will be to let the old die in the gutter, end the National Health Service or the ADSE?

Direct communication versus virtual communication in virtual teams

Several studies suggest that computer-mediated communication can lead to decreases in group effectiveness and reduce satisfaction levels in terms of trust and comfort of its users. Supported by an experiment, where the emotional or affective aspects of communication were tested with the experimentation of two architectures, Direct Communication Architecture (DCA) and the Virtual Communication Architecture (VCA) this paper validates the thesis that, from the users’ perspective, there is no opposition to the acceptance of virtual environments and interfaces for communication, and that these environments are able to cope with the reconfiguration dynamics requirements of virtual teams or client-server relations in a virtual enterprise operation.

Comparative analysis between statistical and artificial intelligence models in business failure prediction

A growing number of predicting corporate failure models has emerged since 60s. Economic and social consequences of business failure can be dramatic, thus it is not surprise that the issue has been of growing interest in academic research as well as in business context. The main purpose of this study is to compare the predictive ability of five developed models based on three statistical techniques (Discriminant Analysis, Logit and Probit) and two models based on Artificial Intelligence (Neural Networks and Rough Sets). The five models were employed to a dataset of 420 non-bankrupt firms and 125 bankrupt firms belonging to the textile and clothing industry, over the period 2003–09. Results show that all the models performed well, with an overall correct classification level higher than 90%, and a type II error always less than 2%. The type I error increases as we move away from the year prior to failure. Our models contribute to the discussion of corporate financial distress causes. Moreover it can be used to assist decisions of creditors, investors and auditors. Additionally, this research can be of great contribution to devisers of national economic policies that aim to reduce industrial unemployment.

Prevenção do Terrorismo versus Neoliberalismo

Ora, a prevenção do terrorismo, é o contrário de tudo isto, com um Estado cada vez maior a intervir em todo o lado, vigiando tudo e todos, aumentando os orçamentos na segurança e paz públicas, em milhares de milhões. Analisando os capitais branqueados e quem vai às privatizações para evitar o próximo atentado terrorista. Imaginem se o Estado Islâmico compra a TAP! § Now, the prevention of terrorism, is the opposite of all this, with a state increasingly to intervene everywhere, watching everything and everyone, increasing the budgets in public security and peace, in billions. Analyzing the laundered money and who is going to privatizations to prevent the next terrorist attack. Imagine if the Islamic state buys TAP!

Comparative Analysis between Statistical and Artificial Intelligence Models in Business Failure Prediction

A growing number of predicting corporate failure models has emerged since 60s. Economic and social consequences of business failure can be dramatic, thus it is not surprise that the issue has been of growing interest in academic research as well as in business context. The main purpose of this study is to compare the predictive ability of five developed models based on three statistical techniques (Discriminant Analysis, Logit and Probit) and two models based on Artificial Intelligence (Neural Networks and Rough Sets). The five models were employed to a dataset of 420 non-bankrupt firms and 125 bankrupt firms belonging to the textile and clothing industry, over the period 2003–09. Results show that all the models performed well, with an overall correct classification level higher than 90%, and a type II error always less than 2%. The type I error increases as we move away from the year prior to failure. Our models contribute to the discussion of corporate financial distress causes. Moreover it can be used to assist decisions of creditors, investors and auditors. Additionally, this research can be of great contribution to devisers of national economic policies that aim to reduce industrial unemployment.

Assessment of Laparoscopic Skills Performance: 2D Versus 3D Vision and Classic Instrument Versus New Hand-Held Robotic Device for Laparoscopy

Introduction and Objectives. Laparoscopic surgery has undeniable advantages, such as reduced postoperative pain, smaller incisions, and faster recovery. However, to improve surgeons’ performance, ergonomic adaptations of the laparoscopic instruments and introduction of robotic technology are needed. The aim of this study was to ascertain the influence of a new hand-held robotic device for laparoscopy (HHRDL) and 3D vision on laparoscopic skills performance of 2 different groups, naïve and expert. Materials and Methods. Each participant performed 3 laparoscopic tasks—Peg transfer, Wire chaser, Knot—in 4 different ways. With random sequencing we assigned the execution order of the tasks based on the first type of visualization and laparoscopic instrument. Time to complete each laparoscopic task was recorded and analyzed with one-way analysis of variance. Results. Eleven experts and 15 naïve participants were included. Three-dimensional video helps the naïve group to get better performance in Peg transfer, Wire chaser 2 hands, and Knot; the new device improved the execution of all laparoscopic tasks (P < .05). For expert group, the 3D video system benefited them in Peg transfer and Wire chaser 1 hand, and the robotic device in Peg transfer, Wire chaser 1 hand, and Wire chaser 2 hands (P < .05). Conclusion. The HHRDL helps the execution of difficult laparoscopic tasks, such as Knot, in the naïve group. Three-dimensional vision makes the laparoscopic performance of the participants without laparoscopic experience easier, unlike those with experience in laparoscopic procedures.