8 resultados para Commodities
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Dissertação apresentada na Faculdade de Ciências e Tecnologia da Universidade Nova de Lisboa para obtenção do grau de Mestre em Matemática e as suas aplicações-Ramo Ciências Actuariais
Resumo:
O principal objectivo deste trabalho assenta em desenvolver modelos de previsão de preços de commodities para assim comparar a capacidade preditiva da simulação de Monte Carlo com a das redes neuronais. A simulação de Monte Carlo é principalmente utilizada para avaliar as opções, já as redes neuronais são utilizadas para fazer previsões, classificações, clustering ou aproximação de funções. Os diversos modelos desenvolvidos foram aplicados na previsão do preço futuro do milho, petróleo, ouro e cobre. Sendo que os horizontes temporais testados neste trabalho foram 1 dia, 5 dias, 20 dias e 60 dias. Através da análise do erro absoluto médio percentual (MAPE) concluiu-se que no geral o modelo individual que apresentou um melhor desempenho preditivo foram as redes neuronais. Contudo, nas previsões a 1 e a 5 dias os resultados obtidos foram semelhantes para ambos os modelos. Para se tentar melhorar os resultados obtidos pelos modelos individuais foram aplicadas algumas técnicas de combinação de modelos. A combinação de modelos demonstrou no geral capacidade para melhorar os resultados dos modelos individuais, porém apenas para o horizonte a 60 dias é que os resultados melhoraram significativamente.
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The thesis studies the presence of macroeconomic risk in the commodities futures market. I present strong evidence that there is a strong relationship between macroeconomic risk and individual commodities future returns. Furthermore, long-only trading strategies seem to be strongly exposed to systematic risk, while long-short trading strategies (based on basis, momentum and basis-momentum) are found to present no such risk. Instead, I found a strong sentiment exposure in the portfolio returns of these long-short strategies, mainly during recessions. The advantages of following long-short strategies become even clearer when analyzing different macroeconomic regimes.
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PLoS ONE - www.plosone.org, V.9, e886
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Dissertação apresentada para obtenção do Grau de Doutor em Ciências do Ambiente, pela Universidade Nova de Lisboa, Faculdade de Ciências e Tecnologia
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The crisis has drawn attention to the fact that not only emerging powers but other regions of the world as well may be offering different development models and may constitute into alternative, in some dimensions more positive agents, in the conduct of the present stage of globalisation. Notwithstanding, the traditional western powers have not lost a large amount of control of the world economy. And the crisis proceeds, reallocating world power as in a Hobbesian anarchy. It is difficult to foresee smooth developments in the near future. On the contrary, multilateralism seems to be losing ground to unilateral action or bilateral arrangements. More or less disguised currency wars may lead to serious disequilibria, and turf wars may become more frequent, with motives ranging from securing captive markets to control of specific commodities and energy goods, or targeted regulatory frameworks. As economic policy becomes even more involved with defence and security affairs, the feedbacks from each side to the other seem likely to keep dissent and animosity high, rather than contributing to peaceful and constructive approaches. A more trouble-prone world may be easily expected.
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The momentum and carry anomalies have been extensively documented in the literature. However, there are still many issues relating to the risks associated to them that are left unexplained. One is the fact that an investor holds for too long the most volatile assets, both under momentum and carry strategies. Therefore, they present a level of risk and a probability of extreme events to happen inconsistent. This work project hypothesizes and proves the introduction of risk parity rules on the weights of the portfolios do increase risk rewarding of carry strategies. However, it fails under momentum strategies.
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Recent research has shown that carry and trend strategies when combined lead to significant risk-adjusted returns that can be very attractive to investors, at a low cost with small and positive skewness. This study proposes to combine both carry and trend-following, considering a data set of ten years (09/2005-09/2015), within a portfolio composed by three major asset classes: currencies, commodities and equity indices. Following a futures-based methodology, the obtained results show that, indeed, the strategy results inevitably in higher returns and greater sharpe ratios for every asset class in study. This outcome results from the fact that trend proved to provide a significant hedge to the downside risk that carry is exposed to.