Impairment in the mortagage loan portfolio: The example of Banco Popular portugal

A Work Project, presented as part of the requirements for the Award of a Masters Degree in Finance from the NOVA ��� School of Business and Economics

Health care needs and resources distribution: How to allocate financial resources in primary care trust?

A Work Project, presented as part of the requirements for the Award of a Masters Degree in Economics from the NOVA ��� School of Business and Economics

The impact of banks dimension on profitability, sustainability and efficiency: An analysis for the Iberian financial system

A Work Project, presented as part of the requirements for the Award of a Masters Degree in Management from the NOVA ��� School of Business and Economics

Bank-firm relationships and financial crisis

A Work Project, presented as part of the requirements for the Award of a Masters Degree in Finance from the NOVA ��� School of Business and Economics

Cape Verde���s foreign policy: an economic perspective

The virtuous cycle between development success and foreign policy in Cape Verde reflects a positive interaction between globalization and governance. Development success under globalization entails positive market perceptions regarding the orientation and predictability of policies as well as the accompanying institutional arrangements, thereby making foreign policy salient beyond the comparator group, or ���aspirational���. Even if there is no universally applicable development model, an aspirational foreign policy can be built on positive rankings with respect to comparator groups. In Macedo and Pereira (2010), macrolevel policy and institutional combinations underpinning trade diversification and income convergence in West and Southern Africa are used to establish development success for Cape Verde and Mozambique respectively. Here, the narrative of long-term development helps identify the following drivers: moving towards a market economy; opening up to regional and global trade; increasing economic and political freedom; pursuing macroeconomic stability and financial reputation; ensuring policy continuity (especially in trade and industrial sectors) and focusing on human development (especially poverty reduction and education). Looking at GDP per capita and indicators of financial reputation and good governance of sub-regional peers is not sufficient to conclude that Cape Verde���s convergence will be sustained. Nevertheless, the positive interaction between trade and financial globalization, on the one hand, and democracy and good governance, on the other, have positive implications for the effectiveness of foreign policy across the region as well as in the Portuguese-speaking community.

Exploring profitability diversity through financial statement analysis

A Work Project, presented as part of the requirements for the Award of a Masters Degree in Management from the NOVA ��� School of Business and Economics

Bond fund runs: The financial crisis case

A Work Project, presented as part of the requirements for the Award of a Masters Degree in Finance from the NOVA ��� School of Business and Economics

Credit risk of financial institutions

A Work Project, presented as part of the requirements for the Award of a Masters Degree in Finance from the NOVA ��� School of Business and Economics

The impact of the economic crisis on the quality of health services

A Work Project, presented as part of the requirements for the Award of a Masters Degree in Management from the NOVA ��� School of Business and Economics

Corporate social responsible behaviour in the financial industry

A Work Project, presented as part of the requirements for the Award of a Masters Degree in Management from the NOVA ��� School of Business and Economics

Three essays in financial markets

A PhD Dissertation, presented as part of the requirements for the Degree of Doctor of Philosophy from the NOVA - School of Business and Economics

Macroeconomic impacts of politics and policy: Applications to financial and real markets

A PhD Dissertation, presented as part of the requirements for the Degree of Doctor of Philosophy from the NOVA - School of Business and Economics

Noise traders, rational traders, and the rest: A new approach to efficient financial markets

A PhD Dissertation, presented as part of the requirements for the Degree of Doctor of Philosophy from the NOVA - School of Business and Economics

Tool for discovering sequential patterns in financial markets

The goal of this thesis is the study of a tool that can help analysts in finding sequential patterns. This tool will have a focus on financial markets. A study will be made on how new and relevant knowledge can be mined from real life information, potentially giving investors, market analysts, and economists new basis to make informed decisions. The Ramex Forum algorithm will be used as a basis for the tool, due to its ability to find sequential patterns in financial data. So that it further adapts to the needs of the thesis, a study of relevant improvements to the algorithm will be made. Another important aspect of this algorithm is the way that it displays the patterns found, even with good results it is difficult to find relevant patterns among all the studied samples without a proper result visualization component. As such, different combinations of parameterizations and ways to visualize data will be evaluated and their influence in the analysis of those patterns will be discussed. In order to properly evaluate the utility of this tool, case studies will be performed as a final test. Real information will be used to produce results and those will be evaluated in regards to their accuracy, interest, and relevance.

State detection in a financial portfolio: a self-organizing maps approach for financial time series

This study analyses financial data using the result characterization of a self-organized neural network model. The goal was prototyping a tool that may help an economist or a market analyst to analyse stock market series. To reach this goal, the tool shows economic dependencies and statistics measures over stock market series. The neural network SOM (self-organizing maps) model was used to ex-tract behavioural patterns of the data analysed. Based on this model, it was de-veloped an application to analyse financial data. This application uses a portfo-lio of correlated markets or inverse-correlated markets as input. After the anal-ysis with SOM, the result is represented by micro clusters that are organized by its behaviour tendency. During the study appeared the need of a better analysis for SOM algo-rithm results. This problem was solved with a cluster solution technique, which groups the micro clusters from SOM U-Matrix analyses. The study showed that the correlation and inverse-correlation markets projects multiple clusters of data. These clusters represent multiple trend states that may be useful for technical professionals.