Fatores determinantes da política de distribuição de dividendos: Evidência empírica para as empresas não financeiras da Euronext Lisbon

Dividends and their distribution decisions, being a component of the compensation of investors are a constant financial worry within companies, thus revealing one of the themes highlighted in the context of the financial literature. Study will address the factors determining the dividend policy practiced by companies listed in the Portuguese stock market. The latter will be 47 non-financial companies listed on the Euronext Lisbon during 2009 until 2011. The two samples that have been investigated include the representative of the majority of non-financial companies listed on Euronext Lisbon and the other financial companies members of the PSI 20. The methodology adopted is one of the ordinary least squares regression and the amount of dividends per share distributed was used in determining the dependent variable. In relation to the independent variables, six explanatory factors were chosen. These include profitability, stability of dividend policy, size, growth, risk and investment opportunities. The conclusion suggests that the most important factors to explain the amount of dividends distributed are profitability and stability of dividend policy. There after, growth and risk factors, as well as factors that explain the amount of dividends distributed are also relevant. The remaining variables obtained were insufficient evidence pointing to a significant effect in explaining the dividend policy of Portuguese companies in the sample. The conclusion also states that differences exist in the importance of the explanatory factors to the amount of dividends distributed between the study samples, given the differentiation of dividend policies, followed by companies from each group analyzed.

Determinantes da politica de dividendos: evidência empírica para as empresas não financeiras cotadas na Euronext Lisbon

The problematic of dividends paid out by firms has deserved the attention of several studies, theoretical and empirical, on corporate finance. This article intends to contribute to the theme by determining the factors that influence a firm’s dividends` policy. In this sense, it investigates the effect of a set of factors on the dividends paid out by issuing non financial firms belonging to Euronext Lisbon. Results suggest the existence of firm specific characteristics influencing its dividends policy. A firm’s Cash-flow and its stocks` market price seem to have a positive impact on the dividends paid out to stockholders. In issuing non financial firms that belong to the PSI 20 Index results additionally show the existence of a negative effect of net profits on dividend’s payment.

Criminalidade Económica e Lavagem de Dinheiro: prevenção pela aprendizagem

1 – Resumo: a criminalidade económica tem uma relação muito próxima com o branqueamento de capitais ou lavagem de dinheiro. O sistema económico capitalista está relacionado de forma próxima com o branqueamento de capitais ou a lavagem de dinheiro. O branqueamento de vantagens – como por exemplo capitais -, é um crime que pode atingir um carácter mundial. Também o financiamento do terrorismo surge aqui com um papel importante. É muito importante punir a ilicitude do crime de branqueamento. Mas mais importante ainda é a prevenção do branqueamento de capitais. Neste sentido, o dever de formação é fundamental. E é um dever fundamental que é importante sobretudo no contexto de determinadas entidades. Entidades financeiras e entidades não financeiras. §1.1 Abstract: economic crime has a close relationship with money laundering. The capitalist economic system is related closely with money laundering. Bleaching of advantages - such as capital - is a crime that can reach a global nature. Also the financing of terrorism comes here with an important role. It is very important to punish the unlawfulness of laundering crime. But more important is the prevention of money laundering. In this sense, the duty of training is critical. It is a fundamental duty that is especially important in the context of certain entities. financial institutions and non-financial entities.

Criminalidade Económica e Lavagem de Dinheiro: prevenção pela aprendizagem

Resumo: a criminalidade económica tem uma relação muito próxima com o branqueamento de capitais ou lavagem de dinheiro. O sistema económico capitalista está relacionado de forma próxima com o branqueamento de capitais ou a lavagem de dinheiro. O branqueamento de vantagens – como por exemplo capitais – é um crime que pode atingir um carácter mundial. Também o financiamento do terrorismo surge aqui com um papel importante. É muito importante punir a ilicitude do crime de branqueamento. Mas mais importante ainda é a prevenção do branqueamento de capitais. Neste sentido, o dever de formação é fundamental. E é um dever fundamental importante sobretudo no contexto de determinadas entidades. Entidades financeiras e entidades não financeiras.§ Abstract: Economic crime has a close relationship with money laundering. The capitalist economic system is related closely with money laundering. Bleaching of advantages – such as capital – is a crime that can reach a global nature. Also the financing of terrorism comes here with an important role. It is very important to punish the unlawfulness of laundering crime. But more important is the prevention of money laundering. In this sense, the duty of training is critical. It is a fundamental duty that is especially important in the context of certain entities. financial institutions and non-financial entities.

Disclosure of Intangible Assets: an Empirical Study of Financial Corporations in the Iberian Peninsula

The purpose of this paper is to analyse, firstly, to what extent intangible assets in the consolidated accounts of seven Portuguese banks and seven Spanish banks between 2006 and 2009 are disclosed and, secondly, to analyse what the most influential factors are in the above mentioned disclosure. In order to do this, before reviewing the existing literature and on the basis of other studies on this topic, a disclosure index has been created based on the requirements related to the intangible assets as stated in IAS 38. Then, two statistical analyses have been made: a univariate one for each of the explanatory variables and a multivariate one, in which all variables have been analysed. Both analyses led to the conclusion that the disclosure index of intangible assets is 0.96, where the bank dimension and the internationalization degree are the variables that are considered explanatory of the variation of the disclosure index in the regression analysis.

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.

The impact of size and age of the company on assessing financial risk

Textiles and tourism sectors are two important sectors in Portuguese economy. Its high exposure to both internal and international economy volatility transform the companies operating in these economic sectors especially vulnerable to recent economic crises in Portugal and European Union. The objective of this paper is to evaluate and understand the impact of size and age on the financial health of textile and tourism companies, measured by economic indices. An empirical based model is proposed. Its implications are derived and tested on a sample of 4061 Portuguese companies from textile and tourism sector, during the period 2005-2009. The results conclude that age has a stronger impact on the risk of failure than size. Whereas the effect of age is generally positive regarding the financial health of the company, the effect of size is less clear and depends on the age of the company.

Financial and economic analysis of prevention of needlesticks in the hospital sector

This paper discusses the financial and economic analysis of prevention of needlestick accidents related to Occupational Health and Safety projects and presents the application to a case study involving a Hospital.

Performance of european socially responsible funds during market crises: evidence from France

This paper investigates the performance, investment styles andmanagerial abilities of French socially responsible investment (SRI) funds investing in Europe during crisis and non-crisis periods. Our results show that SRI funds significantly underperformcharacteristics-matched conventional funds during non-crisis periods, but match the performance of their peers duringmarket downturns. The underperformance of SRI funds during good economic states is driven by funds that use negative screens, since funds that use only positive screens performsimilarly to conventional funds across differentmarket conditions. SRI and conventional funds showsignificant differences in risk exposures during non-crisis periods but exhibit much more similar investment styles during crises. Furthermore,we find little evidence of significant differences inmanagerial abilities during bad economic states. Yet, during non-crisis periods, SRI and conventional fund managers exhibit significantly different style-timing abilities and these differences are also related to screening strategies.

Financial Risk Analysis of Portuguese Textile and Tourism Companies

Textile and tourism sectors are two important industries in the Portuguese economy. However, its high exposure to both internal and international economic volatility make the companies operating in these economic sectors particularly vulnerable to economic crises, such as the ones which have been impacting Portugal and the European Union. The objective of this paper is to evaluate and understand the impact of size and age on the financial health of textile and tourism companies, measured by economic indices. An empirical based model is proposed. Its implications are derived and tested on a sample of 4061 Portuguese companies from textile and tourism sectors, during the period 2005-2009. The findings suggest that age has a major impact on the risk of failure, rather than size. Whereas the effect of age is generally positive regarding the financial health of the company, the effect of size is less clear and ultimately depends on the age of the company.

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.

Financial Risk Analysis of Portuguese Textile and Tourism Companies

Textile and tourism sectors are two important industries in the Portuguese economy. However, its high exposure to both internal and international economic volatility make the companies operating in these economic sectors particularly vulnerable to economic crises, such as the ones which have been impacting Portugal and the European Union. The objective of this paper is to evaluate and understand the impact of size and age on the financial health of textile and tourism companies, measured by economic indices. An empirical based model is proposed. Its implications are derived and tested on a sample of 4061 Portuguese companies from textile and tourism sectors, during the period 2005-2009. The findings suggest that age has a major impact on the risk of failure, rather than size. Whereas the effect of age is generally positive regarding the financial health of the company, the effect of size is less clear and ultimately depends on the age of the company.

The impact of size and age of the company on assessing financial risk.

Textiles and tourism sectors are two important sectors in Portuguese economy. Its high exposure to both internal and international economy volatility transform the companies operating in these economic sectors especially vulnerable to recent economic crises in Portugal and European Union. The objective of this paper is to evaluate and understand the impact of size and age on the financial health of textile and tourism companies, measured by economic indices. An empirical based model is proposed. Its implications are derived and tested on a sample of 4061 Portuguese companies from textile and tourism sector, during the period 2005-2009. The results conclude that age has a stronger impact on the risk of failure than size. Whereas the effect of age is generally positive regarding the financial health of the company, the effect of size is less clear and depends on the age of the company.