Análise de um sistema de cogeração empregando turbina a gás aplicada a uma indústria de malte

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Análise da sustentabilidade na produção familiar no Sudeste Paraense: o caso dos produtores de leite do Município de Rio Maria

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.

Análise econômica da criação de tambaqui em tanques-rede: estudo de caso em assentamento da reforma agrária

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.

Mercado de ações brasileiro: uma investigação empírica sobre suas relações de longo prazo e de precedência temporal pré-crise de 2008

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

Incorporation of hydrogen production process in a sugar cane industry: Steam reforming of ethanol

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Teoria econômica, finanças e empresas de capital aberto: uma análise corporativa de empresas

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

O regime de metas inflacionárias e sua adequação à economia brasileira

The Inflation Targeting Regime was adopted in Brazil in 1999 and it aims at maintaining the price level in the interval set by the government. For such reason, the Central Bank makes use of variations in the interest rate, which causes the cost of the credit to be more expensive, reducing the investments, the jobs and, concomitantly, the inflation. Being aware that the country is subject to sudden reversals of the international capital flows which results in exchange rate and price instability, an econometric analysis of the adequation of the targerting regime to the Brazilian economy, especially concerned with the index price that is used as the parameter for the inflation calculus, is proposed

Eficiência bancária no Brasil: uma análise envoltória de dados (DEA)

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

Previsão de demanda de veículos automotores através do modelo de regressão linear múltipla

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

Aplicação do valor presente ajustado (APV) para avaliação do fluxo de caixa de uma empresa do setor automotivo no sistema inovar auto

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

Previsão de demanda de veículos automotores através do modelo de regressão linear múltipla

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

Aplicação do valor presente ajustado (APV) para avaliação do fluxo de caixa de uma empresa do setor automotivo no sistema inovar auto

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

The Libor Market Model: from theory to calibration

This thesis is focused on the financial model for interest rates called the LIBOR Market Model. In the appendixes, we provide the necessary mathematical theory. In the inner chapters, firstly, we define the main interest rates and financial instruments concerning with the interest rate models, then, we set the LIBOR market model, demonstrate its existence, derive the dynamics of forward LIBOR rates and justify the pricing of caps according to the Black’s formula. Then, we also present the Swap Market Model, which models the forward swap rates instead of the LIBOR ones. Even this model is justified by a theoretical demonstration and the resulting formula to price the swaptions coincides with the Black’s one. However, the two models are not compatible from a theoretical point. Therefore, we derive various analytical approximating formulae to price the swaptions in the LIBOR market model and we explain how to perform a Monte Carlo simulation. Finally, we present the calibration of the LIBOR market model to the markets of both caps and swaptions, together with various examples of application to the historical correlation matrix and the cascade calibration of the forward volatilities to the matrix of implied swaption volatilities provided by the market.

Pricing in stochastic-local volatility models with default

In recent years is becoming increasingly important to handle credit risk. Credit risk is the risk associated with the possibility of bankruptcy. More precisely, if a derivative provides for a payment at cert time T but before that time the counterparty defaults, at maturity the payment cannot be effectively performed, so the owner of the contract loses it entirely or a part of it. It means that the payoff of the derivative, and consequently its price, depends on the underlying of the basic derivative and on the risk of bankruptcy of the counterparty. To value and to hedge credit risk in a consistent way, one needs to develop a quantitative model. We have studied analytical approximation formulas and numerical methods such as Monte Carlo method in order to calculate the price of a bond. We have illustrated how to obtain fast and accurate pricing approximations by expanding the drift and diffusion as a Taylor series and we have compared the second and third order approximation of the Bond and Call price with an accurate Monte Carlo simulation. We have analysed JDCEV model with constant or stochastic interest rate. We have provided numerical examples that illustrate the effectiveness and versatility of our methods. We have used Wolfram Mathematica and Matlab.

Price risk management in the copper market using commodity derivatives and options strategies

Metals price risk management is a key issue related to financial risk in metal markets because of uncertainty of commodity price fluctuation, exchange rate, interest rate changes and huge price risk either to metals’ producers or consumers. Thus, it has been taken into account by all participants in metal markets including metals’ producers, consumers, merchants, banks, investment funds, speculators, traders and so on. Managing price risk provides stable income for both metals’ producers and consumers, so it increases the chance that a firm will invest in attractive projects. The purpose of this research is to evaluate risk management strategies in the copper market. The main tools and strategies of price risk management are hedging and other derivatives such as futures contracts, swaps and options contracts. Hedging is a transaction designed to reduce or eliminate price risk. Derivatives are financial instruments, whose returns are derived from other financial instruments and they are commonly used for managing financial risks. Although derivatives have been around in some form for centuries, their growth has accelerated rapidly during the last 20 years. Nowadays, they are widely used by financial institutions, corporations, professional investors, and individuals. This project is focused on the over-the-counter (OTC) market and its products such as exotic options, particularly Asian options. The first part of the project is a description of basic derivatives and risk management strategies. In addition, this part discusses basic concepts of spot and futures (forward) markets, benefits and costs of risk management and risks and rewards of positions in the derivative markets. The second part considers valuations of commodity derivatives. In this part, the options pricing model DerivaGem is applied to Asian call and put options on London Metal Exchange (LME) copper because it is important to understand how Asian options are valued and to compare theoretical values of the options with their market observed values. Predicting future trends of copper prices is important and would be essential to manage market price risk successfully. Therefore, the third part is a discussion about econometric commodity models. Based on this literature review, the fourth part of the project reports the construction and testing of an econometric model designed to forecast the monthly average price of copper on the LME. More specifically, this part aims at showing how LME copper prices can be explained by means of a simultaneous equation structural model (two-stage least squares regression) connecting supply and demand variables. A simultaneous econometric model for the copper industry is built: {█(Q_t^D=e^((-5.0485))∙P_((t-1))^((-0.1868) )∙〖GDP〗_t^((1.7151) )∙e^((0.0158)∙〖IP〗_t ) @Q_t^S=e^((-3.0785))∙P_((t-1))^((0.5960))∙T_t^((0.1408))∙P_(OIL(t))^((-0.1559))∙〖USDI〗_t^((1.2432))∙〖LIBOR〗_((t-6))^((-0.0561))@Q_t^D=Q_t^S )┤ P_((t-1))^CU=e^((-2.5165))∙〖GDP〗_t^((2.1910))∙e^((0.0202)∙〖IP〗_t )∙T_t^((-0.1799))∙P_(OIL(t))^((0.1991))∙〖USDI〗_t^((-1.5881))∙〖LIBOR〗_((t-6))^((0.0717) Where, Q_t^D and Q_t^Sare world demand for and supply of copper at time t respectively. P(t-1) is the lagged price of copper, which is the focus of the analysis in this part. GDPt is world gross domestic product at time t, which represents aggregate economic activity. In addition, industrial production should be considered here, so the global industrial production growth that is noted as IPt is included in the model. Tt is the time variable, which is a useful proxy for technological change. A proxy variable for the cost of energy in producing copper is the price of oil at time t, which is noted as POIL(t ) . USDIt is the U.S. dollar index variable at time t, which is an important variable for explaining the copper supply and copper prices. At last, LIBOR(t-6) is the 6-month lagged 1-year London Inter bank offering rate of interest. Although, the model can be applicable for different base metals' industries, the omitted exogenous variables such as the price of substitute or a combined variable related to the price of substitutes have not been considered in this study. Based on this econometric model and using a Monte-Carlo simulation analysis, the probabilities that the monthly average copper prices in 2006 and 2007 will be greater than specific strike price of an option are defined. The final part evaluates risk management strategies including options strategies, metal swaps and simple options in relation to the simulation results. The basic options strategies such as bull spreads, bear spreads and butterfly spreads, which are created by using both call and put options in 2006 and 2007 are evaluated. Consequently, each risk management strategy in 2006 and 2007 is analyzed based on the day of data and the price prediction model. As a result, applications stemming from this project include valuing Asian options, developing a copper price prediction model, forecasting and planning, and decision making for price risk management in the copper market.