932 resultados para financial markets credit rating agencies


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In December 2014, ECMI and CEPS formed the European Capital Markets Expert Group (ECMEG) with the aim of providing a long-term contribution to the debate on the Capital Markets Union (CMU) project, proposed by the European Commission. After an intensive, year-long research effort and in-depth discussions with ECMEG members, this final report aims to rethink financial integration policies in the European Union and to devise an EU-wide plan to remove the barriers to greater capital markets integration. It offers a methodology to identify and prioritise cross-border barriers to capital markets integration and provides a set of policy recommendations to improve its key components: price discovery, execution and enforcement of capital markets transactions.

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Thesis (Ph.D.)--University of Washington, 2016-06

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A commonly held view is that creation of excessive domestic credit may lead to inflation problems, however, many economists uphold the possibility that, generous domestic credit under appropriate conditions will result in increases of output. This hypothesis is examined for Japan and Colombia for the period 1950-1993.^ Domestic credit theories are reviewed since the times of Thornton and Smith, until the recent times of Lewis, McKinnon, Stiglitz and of Japanese economists like K. Emi, Tachi R. and others. It is found that in Japan of the Post-War period, efficient financial markets and the decisive role of the government in orienting investment decisions seem to have influenced positively the effectiveness of domestic credit as an output-stimulating variable. On the contrary, in Colombia the absence of the above features seems to explain why domestic credit is not very effective as an output-stimulating variable.^ Multiple regression analyses show that domestic credit is a strong explanatory variable for output increases in Japan and a weak one for Colombia's case in the studied period. For Japan the correlation depicts a positive relationship between the two variables with a decreasing rate very similar to a typical production function. Moreover, the positive decreasing rate is confirmed if net domestic credit is used in the correlations. For Colombia a positive relationship is also found when accumulated domestic credit is used, but, if net domestic credit is the source of correlations, the positive decreasing rate is not obtained.^ Granger causality tests determined causality from domestic credit to output for Japan and no-causality for Colombia at the 1% significance level; the differences are explained by: (1) The low development level of the financial system in Colombia. (2) The nonexistence of consistent domestic credit policy to foster economic development. (3) The lack of an authoritative orientation in the allocation of financial resources and the nonexistence of long range industrialization programs in Colombia that could channel productively credit resources. For the system of equations relating domestic credit and exports, the Granger causality tests determined no-causality between domestic credit and exports for both Japan and Colombia also at the 1% significance level. ^

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The hypothesis that price stability would reliably increase with the fraction of women operating in financial markets has been frequently suggested in policy discussions. To test this hypothesis we conducted 10 male-only, 10 female-only and 10 mixed-gender experimental asset markets, and compared the effects of gender composition, confidence, risk attitude and cognitive skills. Male and female markets have comparable volatility and deviations from fundamentals, whereas mixed-gender markets are substantially more stable. On the other hand, higher average cognitive skills of the group are associated with reduced market volatility. Individual-level analysis shows that subjects with higher cognitive skills trade at prices closer to fundamental values and earn significantly higher profits; similarly, mixed markets exhibit lower mispricing, particularly for traders with lower cognitive skills. Our results are demonstrated to hold in other experimental asset market studies, suggesting that a mixed-gender composition reduces mispricing across different types of asset markets.

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Public policies to support entrepreneurship and innovation play a vital role when firms have difficulties in accessing external finance. However, some authors have found evidence of long-term inefficiency in subsidized firms (Bernini and Pelligrini, 2011; Cerqua and Pelligrini, 2014) and ineffectiveness of public funds (Jorge and Suárez, 2011). The aim of the paper is to assess the effectiveness in the selection process of applications to public financial support for stimulating innovation. Using a binary choice model, we investigate which factors influence the probability of obtaining public support for an innovative investment. The explanatory variables are connected to firm profile, the characteristics of the project and the macroeconomic environment. The analysis is based on the case study of the Portuguese Innovation.Incentive System (PIIS) and on the applications managed by the Alentejo Regional Operational Program in the period 2007 – 2013. The results show that the selection process is more focused on the expected impact of the project than on the firm’s past performance. Factors that influence the credit risk and the decision to grant a bank loan do not seem to influence the government evaluator regarding the funding of some projects. Past activities in R&D do not significantly affect the probability of having an application approved under the PIIS, whereas an increase in the number of patents and the number of skilled jobs are both relevant factors. Nevertheless, some evidence of firms’ short-term inefficiency was found, in that receiving public financial support is linked to a smaller increase in productivity compared to non-approved firm applications. At the macroeconomic level, periods with a higher cost of capital in financial markets are linked to a greater probability of getting an application for public support approved, which could be associated with the effectiveness of public support in correcting market failings.

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Dissertação de Mestrado apresentado ao Instituto de Contabilidade e Administração do Porto para a obtenção do grau de Mestre em Auditoria, sob orientação da Doutora Alcina Augusta de Sena Portugal Dias

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"The purpose of the XII Iberian-Italian Congress of Financial and Actuarial Mathematics is to provide a meeting point for researchers in Financial Economics from different countries and research backgrounds in universities, government or financial institutions. In fact, the Congress which is currently taking place in Lisbon has been organized to encourage communication and debate among the participants as well as to reinforce the bonds between us.The current edition of the Congress is characterized by the quality and diversity of the papers that have been submitted with special attention to the International Financial Crisis and measures of risk in different financial markets. However, as the Congress Program indicates, there are also parallel sessions about traditional topics in finance such as asset pricing, insurance, corporate finance, etc.Although this Congress has always been organized alternately between Spain and Italy, this year we have the great pleasure of celebrating it in Portugal which will be included as a permanent partner." [prefácio]

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A globalização dos sistemas financeiros, ao longo dos anos, tem estimulado uma crescente necessidade de supervisão bancária nas instituições financeiras. O Comité de Supervisão Bancária de Basileia tem tido um papel crucial nesta área, estabelecendo princípios por via dos seus acordos entre as várias entidades nacionais de regulação e supervisão das maiores economias mundiais. Em 1988, foi criado o Acordo de Basileia (Basileia I) pelo Comité de Supervisão Bancária de forma a harmonizar os padrões de supervisão bancária. Este acordo estabeleceu mínimos de solvabilidade para o sistema bancário internacional no sentido de reforçar a sua solidez e estabilidade. Com o desenvolvimento de novas potências económicas e novas necessidades regulamentares, em Junho de 2004, foi publicado o novo Acordo de Capital – o Basileia II. Este acordo pretendia tornar os requisitos de capital mais sensíveis ao risco, promover a atuação das autoridades de supervisão e a disciplina de mercado (através do seu Pilar II) e encorajar a capacidade de cada instituição mensurar e gerir o seu risco. Em Setembro de 2010, o Acordo de Basileia III, com adoção prevista até 2019, veio reforçar estas medidas com a criação de um quadro regulamentar e de supervisão mais sólido, por parte das instituições de crédito. Surge, assim neste contexto, o Modelo de Avaliação de Risco (MAR) para o sector bancário. Em Portugal, o MAR tem como objetivo avaliar o perfil de risco das instituições de crédito, sujeitas à supervisão do Banco de Portugal, assim como apresentar o perfil de risco e a solidez da situação financeira de cada instituição de crédito. Este trabalho pretende avaliar o surgimento e a caracterização deste modelo e identificar as variáveis a ter em conta nos modelos de avaliação de risco a nível qualitativo e quantitativo.

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O processo de globalização, na esfera dos mercados financeiros, exigiu às instituições bancárias opções de investimento estratégico na plataforma internacional. O movimento de implantação dos bancos portugueses no estrangeiro acompanhou esse processo, permitindo a oferta de serviços bancários de captação e financiamento nos principais mercados de destino das exportações e emigração. A presente dissertação tem como objetivo o estudo do processo de internacionalização do setor bancário português centrado na seguinte questão geral de investigação: “Quais os fatores determinantes das variáveis que caraterizam a evolução do setor bancário português no exterior?” O desenvolvimento desta questão é conduzido através da construção de um modelo explicativo dos impactos de um conjunto de determinantes, selecionados a partir da revisão de literatura, sobre os indicadores que traduzem a dinâmica do negócio bancário no exterior. Neste contexto, pretendeu-se obter evidência empírica desses efeitos através de uma metodologia que consiste na estimação de modelos de dados em painel, utilizando uma amostra de seis bancos com relevância ao nível de investimento no mercado externo relativos ao período compreendido entre 2004 e 2014. Os resultados empíricos sugerem a existência de relações estatisticamente significativas entre as variáveis consideradas nos modelos. Foram encontrados indícios que associam consistentemente as variáveis emigração, Investimento Direto Estrangeiro, Produto Interno Bruto em Portugal e nos países de acolhimento, ativo bancário e inflação, com a evolução da atividade bancária no exterior. Adicionalmente, os resultados revelam que o desemprego e o rácio do crédito em relação ao ativo são estatisticamente significativos na sua influência sobre o indicador da rendibilidade dos bancos. Conclui-se que a significância dos fatores selecionados permite explicar o comportamento dos indicadores de negócio no exterior para os bancos estudados e, consequentemente, a validade do modelo de análise proposto. No entanto, não se exclui que outros elementos explicativos não ponderados no estudo tenham igualmente preponderância explicativa no processo de internacionalização do setor bancário.

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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

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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

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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

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Dissertação para obtenção do Grau de Doutor em Alterações Climáticas e Políticas de Desenvolvimento Sustentável

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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.

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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.