8 resultados para Financial analysis

em Instituto Politécnico do Porto, Portugal


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Financial time series have a complex dynamic nature. Many techniques were adopted having in mind standard paradigms of time flow. This paper explores an alternative route involving relativistic effects. It is observed that the measuring perspective influences the results and that we can have different time textures.

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This paper presents a novel method for the analysis of nonlinear financial and economic systems. The modeling approach integrates the classical concepts of state space representation and time series regression. The analytical and numerical scheme leads to a parameter space representation that constitutes a valid alternative to represent the dynamical behavior. The results reveal that business cycles can be clearly revealed, while the noise effects common in financial indices can elegantly be filtered out of the results.

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Projeto apresentado obtenção do Grau de Mestre em Auditoria Orientada pela Professora Doutora Alcina Augusta Sena Dias

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O objetivo geral deste trabalho é a Análise do Desempenho na Administração Pública com recurso a Rácios Financeiros (Caso do Município de Matosinhos). Neste estudo iremos fazer uma análise económica e financeira do Município de Matosinhos avaliando seu o desempenho nos períodos de 2011 a 2014 e também, iremos analisar alguns fatores que influenciam a estrutura de capital dos 12 Municípios de grande dimensão e o seu desempenho. Quanto à análise económica e financeira do Município de Matosinhos, os resultados mostram, que a curto prazo é possível afirmar que o Município de Matosinhos se encontra numa situação favorável em termos de liquidez, com uma boa margem de segurança, ou seja, consegue solver os compromissos a curto. Verifica-se que o Município de Matosinhos ao longo do quadriénio foi recorrendo cada vez menos a capitais alheios para conseguir financiar os seus ativos, tendência positiva em termos do equilíbrio da estrutura financeira municipal. Tentando confirmar a existência ou inexistência de uma relação entre a estrutura de capital (endividamento) e o desempenho (rendibilidade do ativo) com os fatores que as influenciam, foi realizada uma análise de correlação não paramétrica de Spearman com recurso ao SPSS versão 21. Ao contrário da hipótese formulada e das conclusões chegadas em grande parte dos estudos efetuados, verifica-se a existência de uma relação negativa a um nível de significância de 5%, entre o nível de endividamento e a dimensão do Município. Quanto a relação o entre o endividamento com composição do ativo e a rendibilidade do ativo, os resultados não são satisfatórios, mostram uma inexistência da relação entre o endividamento e esses fatores. Verifica-se uma correlação positiva para um nível de significância de 1% entre a rendibilidade do ativo e crescimento, ou seja, os Municípios com maior taxa de crescimento apresentam uma maior rendibilidade do ativo. Este resultado confirma-se a nossa hipótese 4. Porém, em relação a associação positiva entre a rendibilidade do Município e a sua dimensão, os resultados evidenciaram uma inexistência de qualquer relação entre as variáveis.

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The goal of this study is to analyze the dynamical properties of financial data series from nineteen worldwide stock market indices (SMI) during the period 1995–2009. SMI reveal a complex behavior that can be explored since it is available a considerable volume of data. In this paper is applied the window Fourier transform and methods of fractional calculus. The results reveal classification patterns typical of fractional order systems.

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The goal of this study is the analysis of the dynamical properties of financial data series from worldwide stock market indexes during the period 2000–2009. We analyze, under a regional criterium, ten main indexes at a daily time horizon. The methods and algorithms that have been explored for the description of dynamical phenomena become an effective background in the analysis of economical data. We start by applying the classical concepts of signal analysis, fractional Fourier transform, and methods of fractional calculus. In a second phase we adopt the multidimensional scaling approach. Stock market indexes are examples of complex interacting systems for which a huge amount of data exists. Therefore, these indexes, viewed from a different perspectives, lead to new classification patterns.

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This paper analyzes the Portuguese short-run business cycles over the last 150 years and presents the multidimensional scaling (MDS) for visualizing the results. The analytical and numerical assessment of this long-run perspective reveals periods with close connections between the macroeconomic variables related to government accounts equilibrium, balance of payments equilibrium, and economic growth. The MDS method is adopted for a quantitative statistical analysis. In this way, similarity clusters of several historical periods emerge in the MDS maps, namely, in identifying similarities and dissimilarities that identify periods of prosperity and crises, growth, and stagnation. Such features are major aspects of collective national achievement, to which can be associated the impact of international problems such as the World Wars, the Great Depression, or the current global financial crisis, as well as national events in the context of broad political blueprints for the Portuguese society in the rising globalization process.

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Crowdfunding (CF) is an increasingly attractive source to fund social projects. However, to our best knowledge, the study of CF for social purposes has remained largely unexplored in the literature. This research envisages a detailed examination of the role of CF on the early-stage of the social projects at regional level. By comparing the characteristics of the projects available in the Portuguese Social Stock Exchange (PSSE) platform with others that did not use this source of financial support, we explore its role on regional development. The results we got show that, in most cases, both PSSE and Non-Governmental Organizations projects complemented the services offered by the State or by the private sector. Furthermore, about a quarter of the projects present in PSSE operated in areas that were not being addressed neither by the services offered by the State nor by the ones of the private sector. The results attained show that more recent social ventures have a greater propensity to use PSSE. The same is find in those organizations which work closely with the target audience. We also observed that the use of PSSE was correlated with the geographical scope of the Social Venture. The circumstance of having the social organization acting at a local or regional level seems to be strongly associated with the possibility of using social crowdfunding for financing social projects.