[pt] No seu planejamento plurianual de investimentos, as organizações do setor de Exploração e Produção (EeP) estruturam alternativas de projetos de produção de petróleo e gás natural, sujeitas a diversas restrições e a incertezas técnicas e econômicas. Como não há como assegurar que os resultados dos projetos ocorram conforme o previsto, é possível que seu retorno seja inferior ao esperado, o que, dependendo da relevância, pode provocar um efeito adverso no resultado operacional e nas condições financeiras da companhia. Nesse mérito, a dissertação apresenta e aplica um modelo de programação estocástica linear inteira mista para seleção de portfólio de projetos que permita a maximização dos resultados, com restrição de risco. A aplicação considerou dados realistas do segmento de upstream de uma empresa do setor. Para representar os cenários econômicos, optou-se pela utilização da simulação de Monte Carlo do modelo Movimento Geométrico Browniano. Com o Valor Presente Líquido como retorno e Conditional Value-at-Risk representando a medida de risco, foi possível estabelecer a fronteira eficiente do risco-retorno, com a qual o decisor pode definir uma solução de portfólio, conforme sua aversão ao risco. / [en] In their multi-annual investment planning, oil and gas companies consider alternatives of production projects, subject to a variety of constraints, and technical and economic uncertainties. Considering that it is not possible to guarantee that these projects will perform as predicted, the return can be less than expected and can lead to a significant adverse effect to the operational results and to financial conditions of a given organization. Therefore, this dissertation proposes a mixed integer linear stochastic programming model for project portfolio selection that maximizes the return with risk constraint. The application considered realistic data from the upstream segment of an oil and gas company. Monte Carlo simulation of the Geometric Brownian Motion model was considered to represent the economic scenarios. Using the Net Present Value as the function and Conditional Value-at-Risk as a risk measure, it was possible to establish the efficient frontier of risk-return, which can assist the decision-maker to define the project portfolio according to their risk aversion.

Made available in DSpace on 2015-05-14T12:14:12Z (GMT). No. of bitstreams: 1 arquivototal.pdf: 3660633 bytes, checksum: 7309d28729d29dd071bc87f7c5609ebc (MD5) Previous issue date: 2013-11-20 / Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - CAPES / The non-linear science is a central topic covering several investigation areas, such as biology, chemistry, mathematics and physics. In the first part of this thesis, we studied the non-linearity in the scope of classical field theory. The discussions are based on static solutions in (1, 1) space-time dimensions, and they are focused on kinks and lumps defects. In the related procedures, we show several techniques which allowed us to determine new models with their respective analytical solutions. The main mathematical tool to obtain these results is the so called deformation method, which was also an essential piece in the construction of a new extension method. This method presents the determination of new two scalar fields models from the coupling between two one scalar field systems. The method was analyzed carefully, as well as the linear stability, the zero modes, the total energy and the superpotentials, related with the new families of potentials. Furthermore, in the second part we presented the basics concepts about the Brownian Motion, where we analised the features of the solution of the Langevin Equation, and we also introduced a path integral approach to this problem in a quantum field theory way. / A ciência não-linear é tema central de diversas linhas de investigação, cobrindo áreas como a biologia, a física, a matemática e a química. Nossa primeira vertente de trabalho nesta tese, consiste no estudo de não-linearidades via abordagem de teoria clássica de campos. As discussões estão baseadas em soluções estáticas em (1, 1) dimensões, com destaque para o chamados defeitos tipo kink e lump. Nos procedimentos relatados, discorremos a respeito de diversas técnicas para a determinação de novos modelos com suas respectivas soluções analíticas. Um ferramental fundamental para a obtenção desses resultados é o chamado método de deformação, o qual também foi parte essencial para a criação de um método de extensão de modelos, onde visamos a construção de modelos de dois campos reais a partir do acoplamento entre dois modelos de um campo. Tal método também foi exposto em detalhes, bem como as análises sobre estabilidade linear, cálculo de modos zeros, determinação da energia total e dos superpotenciais, relativos às novas famílias de potenciais. Já a segunda linha de pesquisa, refere-se aos conceitos básicos do movimento browniano, onde analisamos as propriedades da solução da equação de Langevin, e na introdução de uma abordagem via integrais de trajetória para descrevê-lo nos moldes de teoria de quântica de campos.

Vilela Mendes et al. (2015), based on the discovery of long-range dependence in the volatility of stock returns, proposed a stochastic volatility continuous mar- ket model where the volatility is given as a transform of the fractional Brownian motion (fBm) and studied its No-Arbitrage and completeness properties under va- rious assumptions. We investigate the possibility of generalization of their results from fBm to a wider class of Hermite processes. We have reworked and completed the proofs of the propositions in the cited article. Under the assumption of indepen- dence of the stock price and volatility driving processes the model is arbitrage-free. However, apart from a case of a special relation between the drift and the volatility, the model is proved to be incomplete. Under a different assumption that there is only one source of randomness in the model and the volatility driving process is bounded, the model is arbitrage-free and complete. All the above results apply to any Hermite process driving the volatility. 1

[pt] O objetivo da presente dissertação é capturar o valor da opção de parada temporária que uma planta GTL oferece em cenários econômicos desfavoráveis para mantê-la operando. Desta forma, o autor considera que a metodologia das opções reais é a mais indicada para avaliar tal flexibilidade, sendo assim, o objetivo principal deste estudo é a análise da opção de parar temporariamente através da utilização do processo estocástico (Movimento geométrico Browniano)e a correlação de Cholesky entre cada input e os outputs da planta. O autor acredita que os resultados desta dissertação podem auxiliar os gestores que enxergam flexibilidades em seus projetos a antecipar prejuízos prolongados em cenários desfavoráveis para manter uma planta funcionando. / [en] The objective of this dissertation is to capture the value of the option to temporarily stop that a GTL plant offers in unfavorable economic scenarios to keep it operating. Thus the author believes that the methodology of real options is the best placed to assess such flexibility, and thus the main objective of this study is the analysis of the option to temporarily stop using the stochastic process (geometric Brownian Motion) and the correlation Cholesky between each input and outputs of the plant. The author believes that the results of this dissertion can assist the managers who see flexibilities in its projects to anticipate damages drawn out in favorable scenes to keep a plant functioning.

Using the method of the star product, the non-relativistic regime of the Dirac equation is evaluated and the NC hamiltonian to the Zeeman e ect is determined. Using the rst-order perturbation theory, the correction to the energy is calculated. We obtain the orbital and spin Land e factors. It is shown that the experimental value for the spin Land e factor put the following upper limit on the magnitude of the momentum NC parameter, p . 0; 34 eV=c. Established also a possible correction of the NC phase space to the presently accepted value of Planck's constant with an uncertainty of 2 part in 1035. By mapping via Boop's shift we obtain the Landau levels and the Hall conductivity for graphene in NC phase space. Using the current experimental precision, respectively, of the Hall conductivity and of the Landau levels in graphene, we obtain the following upper limit to the magnitude of the momentum NC parameter, p . 2; 5eV=c e p . 8; 5eV=c. Finally, by Newton's law in NC space and using the Langevin equations, we describe the Browniano motion, and thus we de ne a new physical parameter that shows the possibility of detecting NC eff ects on the macroscopic scale. / Utilizando-se do m étodo do produto estrela, o regime não relativí stico da equa ção de Dirac é avaliado e o hamiltoniano NC para o efeito Zeeman é determinado. Usando a teoria de perturba ção de primeira ordem, a corre ção para a energia é calculada. Obtemos assim, os fatores de Land é orbital e de spin. É mostrado que o valor experimental para o fator de Land é de spin impõe o seguinte limite superior na magnitude do parâmetro NC de momento,p . 0; 34 eV=c. Estabelecemos tamb ém uma possí vel corre ção do espa ço de fase NC para o valor atualmente aceito da constante de Planck, com uma incerteza de 2 partes em 10 elevado a 35. Atrav és do mapeamento via Boop's shift obtemos os n íveis de Landau e a condutividade Hall para o grafeno no espa ço de fase NC. Utilizando a atual precisão experimental, respectivamente, da condutividade Hall e dos n veis de Landau no grafeno, obtemos os seguintes limites superiores para a magnitude do parâmetro NC de momento,p . 2; 5eV=c ep . 8; 5eV=c. Por fim, atrav és das leis de Newton num espa ço NC e utilizando as equa ções de Langevin, descrevemos o movimento Browniano, e assim defi nimos um novo parâmetro f ísico que mostra a possibilidade de detectar efeitos NC na escala macrosc ópica.

Neste trabalho propomos um modelo de mercado através de uma discretização aleatória do movimento browniano proposta por Leão & Ohashi (2010). Com este modelo, dada uma função payoff, vamos desenvolver uma estratégia de hedging e uma metodologia para precificação de opções / In this work we propose a market model using a discretization scheme of the random Brownian motion proposed by Leão & Ohashi (2010). With this model, for any given payoff function, we develop a hedging strategy and a methodology to option pricing

L'objet de cette thèse est l'étude de l'auto-organisation dans les automates cellulaires unidimensionnels.Les automates cellulaires sont un système dynamique discret ainsi qu'un modèle de calcul massivement parallèle, ces deux aspects s'influençant mutuellement. L'auto-organisation est un phénomène où un comportement organisé est observé asymptotiquement, indépendamment de la configuration initiale. Typiquement, nous considérons que le point initial est tiré aléatoirement: étant donnée une mesure de probabilité décrivant une distribution de configurations initiales, nous étudions son évolution sous l'action de l'automate, le comportement asymptotique étant décrit par la(les) mesure(s) limite(s).Notre étude présente deux aspects. D'abord, nous caractérisons les mesures qui peuvent être atteintes à la limite par les automates cellulaires; ceci correspond aux différents comportements asymptotiques pouvant apparaître en simulation. Cette approche rejoint divers résultats récents caractérisant des paramètres de systèmes dynamiques par des conditions de calculabilité, utilisant des outils d'analyse calculable. Il s'agit également d'une description de la puissance de calcul des automates cellulaires sur les mesures.Ensuite, nous proposons des outils pour létude de l'auto-organisation dans des classes restreintes. Nous introduisons un cadre d'étude d'automates pouvant être vus comme un ensemble de particules en interaction, afin d'en déduire des propriétés sur leur comportement asymptotique. Une dernière direction de recherche concerne les automates convergeant vers la mesure uniforme sur une large classe de mesures initiales (phénomène de randomisation). / The subject of this thesis is the study of self-organization in one-dimensional cellular automata.Cellular automata are a discrete dynamical system as well as a massively parallel model of computation, both theseaspects influencing each other. Self-organisation is a phenomenon where an organised behaviour is observed asymptotically, regardless of the initial configuration. Typically, we consider that the initial point is sampled at random; that is, we consider a probability measure describing the distribution of theinitial configurations, and we study its evolution under the action of the automaton, the asymptoticbehaviour being described by the limit measure(s).Our work is two-sided. On the one hand, we characterise measures that can bereached as limit measures by cellular automata; this corresponds to the possible kinds of asymptoticbehaviours that can arise in simulations. This approach is similar to several recent results characterising someparameters of dynamical systems by computability conditions, using tools from computable analysis. Thisresult is also a description of the measure-theoretical computational power of cellular automata.On the other hand, we provided tools for the practical study of self-organization in restricted classes of cellularautomata. We introduced a frameworkfor cellular automata that can be seen as a set of interacting particles, in order todeduce properties concerning their asymptotic behaviour. Another ongoing research direction focus on cellular automata that converge to the uniform measurefor a wide class of initial measures (randomization phenomenon).

This thesis focuses on guaranteed investment funds, which have become very popular among investors in the Czech Republic in recent years. The reason for this popularity is the conservativeness of a typical domestic investor, who appreciates the lower bound for the value of his investment. Guaranteed funds characteristically have a complex structure and valuation of their profitability based solely on intuition is therefore impossible. This analysis tries to provide an answer to the question if investing in these funds is reasonable. A large part of the thesis is dedicated to the option theory and option valuation methods, including the famous Black-Scholes formula, as guaranteed investment funds have the characteristics of an option. Thanks to the complicated structure of these products, the analysis itself is done by Monte Carlo simulation.

Cette thèse porte sur l’étude de la mémoire longue de la volatilité des rendements d’actions. Dans une première partie, nous apportons une interprétation de la mémoire longue en termes de comportement d’agents grâce à un modèle de volatilité à mémoire longue dont les paramètres sont reliés aux comportements hétérogènes des agents pouvant être rationnels ou à rationalité limitée. Nous déterminons de manière théorique les conditions nécessaires à l’obtention de mémoire longue. Puis nous calibrons notre modèle à partir des séries de volatilité réalisée journalière d’actions américaines de moyennes et grandes capitalisations et observons le changement de comportement des agents entre la période précédant l’éclatement de la bulle internet et celle qui la suit. La deuxième partie est consacrée à la prise en compte de la mémoire longue en gestion de portefeuille. Nous commençons par proposer un modèle de choix de portefeuille à volatilité stochastique dans lequel la dynamique de la log-volatilité est caractérisée par un processus d’Ornstein-Uhlenbeck. Nous montrons que l’augmentation du niveau d’incertitude sur la volatilité future induit une révision du plan de consommation et d’investissement. Puis dans un deuxième modèle, nous introduisons la mémoire longue grâce au mouvement brownien fractionnaire. Cela a pour conséquence de transposer le système économique d’un cadre markovien à un cadre non-markovien. Nous fournissons donc une nouvelle méthode de résolution fondée sur la technique de Monte Carlo. Puis, nous montrons toute l’importance de modéliser correctement la volatilité et mettons en garde le gérant de portefeuille contre les erreurs de spécification de modèle. / This PhD thesis is about the study of the long memory of the volatility of asset returns. In a first part, we bring an interpretation of long memory in terms of agents’ behavior through a long memory volatility model whose parameters are linked with the bounded rational agents’ heterogeneous behavior. We determine theoretically the necessary condition to get long memory. Then we calibrate our model from the daily realized volatility series of middle and large American capitalization stocks. Eventually, we observe the change in the agents’ behavior between the period before the internet bubble burst and the one after. The second part is devoted to the consideration of long memory in portfolio management. We start by suggesting a stochastic volatility portfolio model in which the dynamics of the log-volatility is characterized by an Ornstein-Uhlenbeck process. We show that when the uncertainty of the future volatility level increases, it induces the revision of the consumption and investment plan. Then in a second model, we introduce a long memory component by the use of a fractional Brownian motion. As a consequence, it transposes the economic system from a Markovian framework to a non-Markovian one. So we provide a new resolution method based on Monte Carlo technique. Then we show the high importance to well model the volatility and warn the portfolio manager against the misspecification errors of the model.

A literatura referente a testes de hipótese em modelos auto-regressivos que apresentam uma possível raiz unitária é bastante vasta e engloba pesquisas oriundas de diversas áreas. Nesta dissertação, inicialmente, buscou-se realizar uma revisão dos principais resultados existentes, oriundos tanto da visão clássica quanto da bayesiana de inferência. No que concerne ao ferramental clássico, o papel do movimento browniano foi apresentado de forma detalhada, buscando-se enfatizar a sua aplicabilidade na dedução de estatísticas assintóticas para a realização dos testes de hipótese relativos à presença de uma raíz unitária. Com relação à inferência bayesiana, foi inicialmente conduzido um exame detalhado do status corrente da literatura. A seguir, foi realizado um estudo comparativo em que se testa a hipótese de raiz unitária com base na probabilidade da densidade a posteriori do parâmetro do modelo, considerando as seguintes densidades a priori: Flat, Jeffreys, Normal e Beta. A inferência foi realizada com base no algoritmo Metropolis-Hastings, usando a técnica de simulação de Monte Carlo por Cadeias de Markov (MCMC). Poder, tamanho e confiança dos testes apresentados foram computados com o uso de séries simuladas. Finalmente, foi proposto um critério bayesiano de seleção de modelos, utilizando as mesmas distribuições a priori do teste de hipótese. Ambos os procedimentos foram ilustrados com aplicações empíricas à séries temporais macroeconômicas. / Testing for unit root hypothesis in non stationary autoregressive models has been a research topic disseminated along many academic areas. As a first step for approaching this issue, this dissertation includes an extensive review highlighting the main results provided by Classical and Bayesian inferences methods. Concerning Classical approach, the role of brownian motion is discussed in a very detailed way, clearly emphasizing its application for obtaining good asymptotic statistics when we are testing for the existence of a unit root in a time series. Alternatively, for Bayesian approach, a detailed discussion is also introduced in the main text. Then, exploring an empirical façade of this dissertation, we implemented a comparative study for testing unit root based on a posteriori model's parameter density probability, taking into account the following a priori densities: Flat, Jeffreys, Normal and Beta. The inference is based on the Metropolis-Hastings algorithm and on the Monte Carlo Markov Chains (MCMC) technique. Simulated time series are used for calculating size, power and confidence intervals for the developed unit root hypothesis test. Finally, we proposed a Bayesian criterion for selecting models based on the same a priori distributions used for developing the same hypothesis tests. Obviously, both procedures are empirically illustrated through application to macroeconomic time series.