897 resultados para Interest rate futures market


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Includes bibliography

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Pós-graduação em Economia - FCLAR

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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Neste trabalho é feita uma análise da sustentabilidade da pecuária leiteira na agricultura familiar, decorrente do rápido processo de degradação das pastagens formadas em área de terra firme, numa região de fronteira da Amazônia brasileira. A pesquisa foi realizada no Município de Rio Maria, Sudeste Paraense, sendo este um dos Municípios do Pará reconhecido internacionalmente pelo alto índice de conflitos fundiários. Foram entrevistadas 55 unidades de produção familiar, nos Projetos de Assentamentos Itaipavas 126, Barra Mansa, Mata Azul, Fazenda São Roque e Vale da Serra que sobrevivem, especificamente, da pecuária leiteira, que foram entrevistados nos meses de julho a agosto de 2002. A escolha das propriedades foi intencional, e constitui-se na identificação da renda da pecuária (venda do leite e reses), bem como, uma análise das técnicas utilizadas pelos pequenos produtores, no manejo das pastagens, do rebanho para garantir a sustentabilidade da unidade produtiva. Essa análise permitiu identificar através dos indicadores socioeconômicos que, embora a pecuária seja considerada uma atividade de baixo risco, economicamente viável para a Amazônia, entre os pequenos produtores, torna-se uma atividade insustentável, posto que, o processo de degradação das pastagens inicia-se a partir de três a cinco anos, sem, no entanto, permitir que as unidades de produção poupem recursos para renovação ou recuperação. A renda sustentável da atividade de pecuária leiteira sendo muito baixa em relação à renda obtida logo na fase inicial da atividade desestimula a adoção de práticas mais sustentáveis. A tendência declinante da produtividade das pastagens, com leves acréscimos decorrentes das queimadas e de controle da juquira tem sido compensadas com a incorporação de novas áreas de pastagens. O esgotamento de estoques de reservas florestais tende levar ao colapso da atividade, a despeito da existência de mercado para carne e leite, as práticas de recuperação não são adotadas. Considerando uma taxa de depreciação de pastagens de 10% ao ano e uma taxa de juros de 15% ao ano, do lucro líquido obtido os proprietários deveriam investir pelo menos 40% para garantir a sustentabilidade das pastagens ao final de dez anos. Verifica-se que a pecuária leiteira da agricultura familiar está sendo feita com a contínua drenagem dos recursos naturais, sem a devida compensação no preço de venda desses produtos (leite e carne). Espera-se que estes resultados possam contribuir para definir políticas públicas, com medidas concretas para os pequenos produtores de leite, no sentido de garantir renovação/recuperação das pastagens degradadas, visto que, são estes produtores os responsáveis por grande parte do desequilíbrio ecológico do ecossistema no Sudeste Paraense. Entre os pequenos criadores de gado não há necessidade de financiamento para contínua aquisição do gado, pois todos os proprietários já possuem rebanho acima da capacidade das pastagens. Nesse caso, seria necessária capacitação do produtor capacitação do produtor, para manejo adequado do pasto e do rebanho e financiamentos voltados para recuperação das pastagens degradadas. Não existe entre os produtores um espírito de conservação, mas sim uma ansiedade em aumentar o rebanho e as pastagens.

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Aquaculture is a crucial source of income and livelihood for millions of people around the world. Most fish farms require technical knowledge expertise and qualified staff. This research was developed in Santa Felicidade Settlement Project Cocalzinho de Goias city - GO, where a substantial part of the settlers by INCRA are exploring subsistence farming activities. After meeting open to the 76 settler's families, those who joined the project received courses on intensive farming of tambaqui (Colossoma macropomum) in net cages. The production was an innovative technique, fully realized with the participatory labor of family members, without prejudice of the main activities. The economic analysis showed the return on invested capital in 7.5 years within the financial activity with 7.1% Internal Return Rate higher than the average interest rate market. The Net Cash Flow showed ability to fulfill financial obligations from the second year. The implementation of more productive cycles optimizes the workforce with increased operational efficiency. Diet alternatively produced with local ingredients can minimize the effects of critical variables of the project, since it does not affect productivity.

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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

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The study attempts to develop the concept of financial fragility and explore the advancement of their chances, since he started in 1970 until the present day with the most respected authors. The analysis focuses on the possibility of changing the cycle of economic activity that is due to the vulnerability, and so that it is related to the behavior of firms and agents. What can be done to prevent such a crisis. Thus, the authors present the factors and explain how the credit market, operating assets and investments of capital goods under the influence in that economy. It also consists in the analysis to visualize the size of the influence of credit, interest and investments made by the evaluation of a data set

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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

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This study aimed to model a equation for the demand of automobiles and light commercial vehicles, based on the data from February 2007 to July 2014, through a multiple regression analysis. The literature review consists of an information collection of the history of automotive industry, and it has contributed to the understanding of the current crisis that affects this market, which consequence was a large reduction in sales. The model developed was evaluated by a residual analysis and also was used an adhesion test - F test - with a significance level of 5%. In addition, a coefficient of determination (R2) of 0.8159 was determined, indicating that 81.59% of the demand for automobiles and light commercial vehicles can be explained by the regression variables: interest rate, unemployment rate, broad consumer price index (CPI), gross domestic product (GDP) and tax on industrialized products (IPI). Finally, other ten samples, from August 2014 to May 2015, were tested in the model in order to validate its forecasting quality. Finally, a Monte Carlo Simulation was run in order to obtain a distribution of probabilities of future demands. It was observed that the actual demand in the period after the sample was in the range that was most likely to occur, and that the GDP and the CPI are the variable that have the greatest influence on the developed model

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The automobile industry shows relevance inside the Brazilian industrial scenario since it contributes with the development of a significant chain of supply, distributors, workshops, publicity agencies and insurance companies in the internal market, aside from being one of the five biggest worldwide market. Thereby, the federal government decreed in Dec, 17th 2012 by Law nº 12.715 the Inovar-Auto Program. As the Adjusted Present Value (APV) is highly recommended, although not yet widespread to public politics of tax reduction, this work intends to apply the APV method on the cash flow analysis of an automobile sector's company, which has recently installed in national territory and wants to rely with governmental incentives proposed by Inovar-Auto Program. The developed work evaluates the company's current cash flow stochastically from mathematical modeling of variables such as price, demand and interest rate through probability distributions with the assist of Crystal Ball software, a Microsoft Excel Add-in, generating different scenarios from Monte Carlo Simulation. As results probabilities situations have been evaluated until the end of the Inovar-Auto's conducted period, in 2017. Beside APV others indicator such as Internal Rate of Return (IRR) and payback period were estimated for the investment project. For APV a sampling distribution with only 0.057% of risk, IRR of 29% were obtained and estimated project payback period was 4.13 years

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This study aimed to model a equation for the demand of automobiles and light commercial vehicles, based on the data from February 2007 to July 2014, through a multiple regression analysis. The literature review consists of an information collection of the history of automotive industry, and it has contributed to the understanding of the current crisis that affects this market, which consequence was a large reduction in sales. The model developed was evaluated by a residual analysis and also was used an adhesion test - F test - with a significance level of 5%. In addition, a coefficient of determination (R2) of 0.8159 was determined, indicating that 81.59% of the demand for automobiles and light commercial vehicles can be explained by the regression variables: interest rate, unemployment rate, broad consumer price index (CPI), gross domestic product (GDP) and tax on industrialized products (IPI). Finally, other ten samples, from August 2014 to May 2015, were tested in the model in order to validate its forecasting quality. Finally, a Monte Carlo Simulation was run in order to obtain a distribution of probabilities of future demands. It was observed that the actual demand in the period after the sample was in the range that was most likely to occur, and that the GDP and the CPI are the variable that have the greatest influence on the developed model

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The automobile industry shows relevance inside the Brazilian industrial scenario since it contributes with the development of a significant chain of supply, distributors, workshops, publicity agencies and insurance companies in the internal market, aside from being one of the five biggest worldwide market. Thereby, the federal government decreed in Dec, 17th 2012 by Law nº 12.715 the Inovar-Auto Program. As the Adjusted Present Value (APV) is highly recommended, although not yet widespread to public politics of tax reduction, this work intends to apply the APV method on the cash flow analysis of an automobile sector's company, which has recently installed in national territory and wants to rely with governmental incentives proposed by Inovar-Auto Program. The developed work evaluates the company's current cash flow stochastically from mathematical modeling of variables such as price, demand and interest rate through probability distributions with the assist of Crystal Ball software, a Microsoft Excel Add-in, generating different scenarios from Monte Carlo Simulation. As results probabilities situations have been evaluated until the end of the Inovar-Auto's conducted period, in 2017. Beside APV others indicator such as Internal Rate of Return (IRR) and payback period were estimated for the investment project. For APV a sampling distribution with only 0.057% of risk, IRR of 29% were obtained and estimated project payback period was 4.13 years

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This thesis deals with inflation theory, focussing on the model of Jarrow & Yildirim, which is nowadays used when pricing inflation derivatives. After recalling main results about short and forward interest rate models, the dynamics of the main components of the market are derived. Then the most important inflation-indexed derivatives are explained (zero coupon swap, year-on-year, cap and floor), and their pricing proceeding is shown step by step. Calibration is explained and performed with a common method and an heuristic and non standard one. The model is enriched with credit risk, too, which allows to take into account the possibility of bankrupt of the counterparty of a contract. In this context, the general method of pricing is derived, with the introduction of defaultable zero-coupon bonds, and the Monte Carlo method is treated in detailed and used to price a concrete example of contract. Appendixes: A: martingale measures, Girsanov's theorem and the change of numeraire. B: some aspects of the theory of Stochastic Differential Equations; in particular, the solution for linear EDSs, and the Feynman-Kac Theorem, which shows the connection between EDSs and Partial Differential Equations. C: some useful results about normal distribution.

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This paper analyzes interbank markets under currency boards. Under such an environment, problematic endogeneity issues common to other monetary regimes do not arise. Using daily data from the interbank markets in Bulgaria and Lithuania we show, that contrary to the existing literature, overnight interest rates tend to decrease towards the end of the reserve holding period. Empirical results are supported by a finite horizon heterogeneous agents model showing that interest rates tend to decrease in the case of excess aggregate reserves in the banking system. Results contrast with Quir'os and Mendiz'abal (2006) who find that interest rates should be increasing regardless of the outstanding aggregate liquidity in the market. We also show that responsiveness of banks to interest rate changes diminishes as the end of reserve holding period approaches. Under certain circumstances this could lead to multiple equilibria with increasing or decreasing interest rates.

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Despite the extensive work on currency mismatches, research on the determinants and effects of maturity mismatches is scarce. In this paper I show that emerging market maturity mismatches are negatively affected by capital inflows and price volatilities. Furthermore, I find that banks with low maturity mismatches are more profitable during crisis periods but less profitable otherwise. The later result implies that banks face a tradeoff between higher returns and risk, hence channeling short term capital into long term loans is caused by cronyism and implicit guarantees rather than the depth of the financial market. The positive relationship between maturity mismatches and price volatility, on the other hand, shows that the banks of countries with high exchange rate and interest rate volatilities can not, or choose not to hedge themselves. These results follow from a panel regression on a data set I constructed by merging bank level data with aggregate data. This is advantageous over traditional studies which focus only on aggregate data.