14 resultados para Debt And Consumer Finance
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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
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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
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Dissertação para obtenção do Grau de Mestre em Tecnologia e Segurança Alimentar
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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
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In this paper, we investigate whether being part of the euro area influences the conditional probability of going through a sudden stop or a bonanza of capital flows. Our sample period is from 1995 until 2014. We identify these two phenomena and we evaluate which push and pull factors help predict the conditional probability of experiencing one of them. We find that most countries had significant capital inflows until 2008 and that there were more sudden stops during the recent financial crisis than in any other moment in our sample. The factors that better help forecast the conditional probability of a sudden stop are global uncertainty (represented by the push factor “Volatility Index”), and the domestic economic activity (pull factors “GDP growth” and “consumer confidence”). An indicator of country risk (pull factor “change in credit rating”) is the most significant one for predicting bonanzas. Ultimately, we find no evidence that being part of the euro area influences the conditional probability of going through a sudden stop or a bonanza.
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Field lab in marketing
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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
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Two-part tariffs, when used at the retail level, increase efficiency by lowering the price of marginal units. The same potential for higher efficiency exists for two-part tariffs at wholesale level for a given market structure, but the fixed part of the wholesale tariff can negatively affect the latter. In a simulated competition model of next-generation telecommunications access networks that has been calibrated with engineering cost data, we show that the latter effects strongly outweigh the former. That is, substituting a cost-based linear wholesale access tariff with revenue-equivalent two-part tariffs reduces the number of access seekers and therefore leads to higher prices and lower welfare and consumer surplus.
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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
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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
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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
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RESUMO - A doença renal crónica (DRC) resulta da perda de função renal, sendo necessário a terapêutica de substituição, no estádio terminal. Em Portugal está atualmente em vigor o modelo de Gestão Integrada da Doença, que tem inerente o cumprimento de objetivos e metas pelas unidades de diálise. Uma alimentação adequada é um pilar fundamental ao sucesso do tratamento desta doença, o que torna o profissional de nutrição indispensável. Este trabalho pretendeu avaliar o cumprimento das metas e objetivos estabelecidos no modelo referido, e relacionar os resultados obtidos com a existência de contacto entre o profissional de nutrição e os pacientes. Para a persecução dos objetivos, foram analisadas duas bases de dados disponibilizadas pela Direção Geral da Saúde: a base de dados da Plataforma de Gestão Integrada da Doença Renal Crónica em 2012 e a do Questionário de Avaliação da Satisfação dos Doentes em Hemodiálise em 2013. Verificou-se uma melhoria contínua ao longo dos anos do cumprimento das metas e objetivos preconizados em Portugal para o tratamento da DRC, com um cumprimento da maioria no ano de 2012. No entanto, os parâmetros ferritina e albumina sérica ficaram aquém da recomendação. Observou-se um nível elevado de satisfação do paciente quanto ao trabalho do profissional de nutrição, apesar de ser frequente a inexistência de contacto entre ambas as partes. Os resultados obtidos demonstram também que o profissional de nutrição tem um papel importante para a obtenção de melhores resultados de saúde nos pacientes em tratamento por hemodiálise, pelo que se sugere um acompanhamento da totalidade deste tipo de população por este profissional.
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Following the European Commission’s 2009 Recommendation on the Regulatory Treatment of Fixed and Mobile Termination Rates in the EU, the Portuguese regulatory authority (ANACOM) decided to reduce termination prices in mobile networks to their long-run incremental cost (LRIC). Nevertheless, no serious quantitative assessment of the potential effects of this decision was carried out. In this paper, we adapt and calibrate the Harbord and Hoernig (2014) model of the UK mobile telephony market to the Portuguese reality, and simulate the likely impact on consumer surplus, profits and welfare of four different regulatory approaches: pure LRIC, reciprocal termination charges with fixed networks, “bill & keep”, and asymmetric termination rates. Our results show that reducing MTRs does increase social welfare, profits and consumer surplus in the fixed market, but mobile subscribers are seriously harmed by this decision.
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This paper develops the model of Bicego, Grosso, and Otranto (2008) and applies Hidden Markov Models to predict market direction. The paper draws an analogy between financial markets and speech recognition, seeking inspiration from the latter to solve common issues in quantitative investing. Whereas previous works focus mostly on very complex modifications of the original hidden markov model algorithm, the current paper provides an innovative methodology by drawing inspiration from thoroughly tested, yet simple, speech recognition methodologies. By grouping returns into sequences, Hidden Markov Models can then predict market direction the same way they are used to identify phonemes in speech recognition. The model proves highly successful in identifying market direction but fails to consistently identify whether a trend is in place. All in all, the current paper seeks to bridge the gap between speech recognition and quantitative finance and, even though the model is not fully successful, several refinements are suggested and the room for improvement is significant.