Previsão do índice bovespa por meio de redes neurais artificiais: uma análise comparada aos métodos tradicionais de séries de tempo

Forecast is the basis for making strategic, tactical and operational business decisions. In financial economics, several techniques have been used to predict the behavior of assets over the past decades.Thus, there are several methods to assist in the task of time series forecasting, however, conventional modeling techniques such as statistical models and those based on theoretical mathematical models have produced unsatisfactory predictions, increasing the number of studies in more advanced methods of prediction. Among these, the Artificial Neural Networks (ANN) are a relatively new and promising method for predicting business that shows a technique that has caused much interest in the financial environment and has been used successfully in a wide variety of financial modeling systems applications, in many cases proving its superiority over the statistical models ARIMA-GARCH. In this context, this study aimed to examine whether the ANNs are a more appropriate method for predicting the behavior of Indices in Capital Markets than the traditional methods of time series analysis. For this purpose we developed an quantitative study, from financial economic indices, and developed two models of RNA-type feedfoward supervised learning, whose structures consisted of 20 data in the input layer, 90 neurons in one hidden layer and one given as the output layer (Ibovespa). These models used backpropagation, an input activation function based on the tangent sigmoid and a linear output function. Since the aim of analyzing the adherence of the Method of Artificial Neural Networks to carry out predictions of the Ibovespa, we chose to perform this analysis by comparing results between this and Time Series Predictive Model GARCH, developing a GARCH model (1.1).Once applied both methods (ANN and GARCH) we conducted the results' analysis by comparing the results of the forecast with the historical data and by studying the forecast errors by the MSE, RMSE, MAE, Standard Deviation, the Theil's U and forecasting encompassing tests. It was found that the models developed by means of ANNs had lower MSE, RMSE and MAE than the GARCH (1,1) model and Theil U test indicated that the three models have smaller errors than those of a naïve forecast. Although the ANN based on returns have lower precision indicator values than those of ANN based on prices, the forecast encompassing test rejected the hypothesis that this model is better than that, indicating that the ANN models have a similar level of accuracy . It was concluded that for the data series studied the ANN models show a more appropriate Ibovespa forecasting than the traditional models of time series, represented by the GARCH model

Modelagem e previsão da perda de injetividade em poços canhoneados

Waterflooding is a technique largely applied in the oil industry. The injected water displaces oil to the producer wells and avoid reservoir pressure decline. However, suspended particles in the injected water may cause plugging of pore throats causing formation damage (permeability reduction) and injectivity decline during waterflooding. When injectivity decline occurs it is necessary to increase the injection pressure in order to maintain water flow injection. Therefore, a reliable prediction of injectivity decline is essential in waterflooding projects. In this dissertation, a simulator based on the traditional porous medium filtration model (including deep bed filtration and external filter cake formation) was developed and applied to predict injectivity decline in perforated wells (this prediction was made from history data). Experimental modeling and injectivity decline in open-hole wells is also discussed. The injectivity of modeling showed good agreement with field data, which can be used to support plan stimulation injection wells

Um Modelo híbrido para previsão de curvas de produção de petróleo

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

A alteração do tipo penal de adulteração de combustíveis: reflexo da constitucionalização do direito penal no mercado de combustíveis

The neoconstitutionalism led to a process of ethical revaluation of the normative systems and the process of constitutionalization of the many fields of law. This study examines the consequences of this process in criminal law, so important a Law field for the protection of the most valuable assets by the society, including the fundamental guarantees, thus emphasizing the necessity of protection of the collective and individual rights, which are guided by the observance of the defendants individual rights in the course of criminal proceedings and the search for the best efficiency of penal protection, according to the corollaries of defense against the state (prohibition of the excess or Übermassverbot) and the provision of rights by the state (prohibition of insufficient protection or Untermassverbot). The offense of fuel adulteration is taken as an object of study, since it is a vital market to a nation dependent of people and good s movement for their living, driven by fossil and biofuels. Such a crime affects essential legal interests to the development of society, interests such as the environment, consumer relations and economic order, particularly the principle of free competition. This paper seeks to analyze the need of a greater efficiency of this particular criminal protection, once concluded the conduct harm and social fear as a consequence by it as growing, and therefore having its former crime type, engraved in Article 1 of Law No. 8.176/1991, rewritten in compliance with the criminal law s principle of legality. Thus, the reformation proposals and legislative creation involving this crime were observed, with emphasis on the bill No. 2498/2003, which keeps it as blank heterogeneous criminal norm, kind of penal normative whose constitutionality is raised, including the forethought of criminal responsibility in the perpetrating of the offense as culpable and subsequently increasing the applicable minimum penalty, as well as the inclusion of new activities in the typical nucleus

Zona adensável de Ponta Negra em Natal/ RN: as conseqüências decorrentes da lei complementar 27/2000 na visão dos moradores da área

The quarrel on the urban intensific use of determined areas of the city is carried through in some levels of the society, which had to the fact to bring direct influences the population that inhabits it. The question to become an area to intensific use, implies in determining that the local infrastructure has the capacity to take care of to a bigger amount of people, inhabitants or passers-by. In the quarter of Ponta Negra, in Natal city (state of RN), its condition of area to intensific use to the municipal Law 27/2000 happened due that it starts to allow a bigger level of occupation of part of the quarter. This law has a direct relation with the installation of a complementary infrastructure in the quarter, to put does not send to its complementation and maintenance, what it takes the consequences that are felt by the population. This work has as main objective the identification of the decurrent significant consequences of the creation of Ponta Negra s Intensific Use Zone, according to vision of the population of the quarter. The way followed for this involves the compatible bibliography research with the subject, analysis of documents that treat on the quarter, mappings of the area in search of a physical characterization and mainly, an application of questionnaire next to local population. In this questionnaire it is the main point of the necessary collection of data to the work, indicating the point of view of the population not only on the negative points, but also on the positive points that had happened since the creation of Intensific Use Zone. The answers indicate problems of natures social, infrastructure and enviromental, compatible with the problems of other areas that had passed the same for process, as point the studied bibliography, indicating imperfections in the planning process and maintenance of Ponta Negra s Intensific Use Zone

Previsão do módulo de elasticidade transversal de compósitos unidirecionais através de redes neurais mistas

The aim of this study is to create an artificial neural network (ANN) capable of modeling the transverse elasticity modulus (E2) of unidirectional composites. To that end, we used a dataset divided into two parts, one for training and the other for ANN testing. Three types of architectures from different networks were developed, one with only two inputs, one with three inputs and the third with mixed architecture combining an ANN with a model developed by Halpin-Tsai. After algorithm training, the results demonstrate that the use of ANNs is quite promising, given that when they were compared with those of the Halpín-Tsai mathematical model, higher correlation coefficient values and lower root mean square values were observed

As especificidades da clínica psicanalítica com crianças na neurose e na psicose: conseqüências para a direção do tratamento

This dissertation aims to answer the question: What are the specifics of psychoanalytical clinic with children in neurosis and psychosis and its consequences for the treatment direction? It constitutes a theoretical study based on Freud, Lacan and the current productions of Lacanian psychoanalysts about the clinic with children. It presents some clinical vignettes. To answer this question, were constructed four chapters. The chapter The subject constitution treats the psychoanalysis subjectivity, based on a structure from the relationship with the Other. Key concepts of Lacanian psychoanalysis are shown, necessary to understand what becomes present in clinic with children. The second chapter, The clinic of neurosis, reveals the structure of the subject in its oedipal mooring held by the Name-of the-Father, that separates the mother-child dual relationship. The child neurosis is the effect of psyche constitution and the symptoms are an interpretation of what child picks up from parents and helps him/her on the passage through the Oedipus. The analyst is there to help him/her through this path. The next chapter is entitled The clinic of psychosis. In psychosis the non-occurrence of the Name-of-the-Father is concerned. The subject is stuck in duality with the mother, and becomes what fills the Other s gap. To protect themselves, they have to be in incessant work. The analyst will be a child s partner in daily work already carried out by him/her. The last chapter, The consequences for the treatment direction, shows that the standard analytic treatment works well to the clinic of neurosis. To psychosis it s not true. Psychoanalysts thought about a different way of psychotic children treatment: the practice held in a multiprofessional team work. The practice shared by many has been a team strategy applied to the institutional practice that aims to attenuate the invasive character of the Other, facilitating the partnership between the analyst and the child in treatment and the Other contention

Estudo da previsão da carga de ruptura de estacas pré-moldadas de concreto

The piles are one of the most important types of solution adopted for the foundation of buildings. They are responsible for transmitting to the soil in deepe r and resistant layers loads from structures. The interaction of the foundation element with the soil is a very important variable, making indispensable your domain in order to determine the strength of the assembly and establish design criteria for each c ase of application of the pile. In this research analyzes were performed f rom experiments load tests for precast concrete piles and inve stigations of soil of type SPT, a study was performed for obtaining the ultimate load capacity of the foundation through methods extrapolation of load - settlement curve , semi - empirical and theoretic . After that, were realized comparisons between the different methods used for two types of soil a granular behavior and other cohesive. For obtaining soil paramet ers to be used i n the methods were established empirical correlations with the standard penetration number (NSPT). The charge - settlement curves of the piles are also analyzed. In the face of established comparisons was indicated the most reliable semiempirical method Déco urt - Quaresma as the most reliable for estimating the tensile strength for granular and cohesive soils. Meanwhile, among the methods studied extrapolation is recommended method of Van der Veen as the most appropriate for predicting the tensile strength.

O processo ensino-aprendizagem e suas conseqüências na relação professor-aluno-paciente.

This study deals with the ethical and human aspects present in the teaching-learning process within the dentists' formation. It arises from the growing need for professionals involved with the quality of the services they provide for the population in health care centers. In this research a qualitative approach was used and data was obtained by means of focal groups, interviews and participative observation. The sample consisted of 28 dentistry students and 33 patients attended at the dentistry course. According to the results, it was shown that the main problems are the excess of authority in the teacher-student-patient relationship and the dissociation of the body-mind-spirit as seen in the biomedical model health practice. These findings show the future professionals' insufficient abilities for developing a satisfactory relationship with their patients and the need of considering these aspects during their formation.

O processo ensino-aprendizagem e suas conseqüências na relação professor-aluno-paciente.

This study deals with the ethical and human aspects present in the teaching-learning process within the dentists' formation. It arises from the growing need for professionals involved with the quality of the services they provide for the population in health care centers. In this research a qualitative approach was used and data was obtained by means of focal groups, interviews and participative observation. The sample consisted of 28 dentistry students and 33 patients attended at the dentistry course. According to the results, it was shown that the main problems are the excess of authority in the teacher-student-patient relationship and the dissociation of the body-mind-spirit as seen in the biomedical model health practice. These findings show the future professionals' insufficient abilities for developing a satisfactory relationship with their patients and the need of considering these aspects during their formation.

Estimação e previsão no processo INARCH(2)

In the last decades the study of integer-valued time series has gained notoriety due to its broad applicability (modeling the number of car accidents in a given highway, or the number of people infected by a virus are two examples). One of the main interests of this area of study is to make forecasts, and for this reason it is very important to propose methods to make such forecasts, which consist of nonnegative integer values, due to the discrete nature of the data. In this work, we focus on the study and proposal of forecasts one, two and h steps ahead for integer-valued second-order autoregressive conditional heteroskedasticity processes [INARCH (2)], and in determining some theoretical properties of this model, such as the ordinary moments of its marginal distribution and the asymptotic distribution of its conditional least squares estimators. In addition, we study, via Monte Carlo simulation, the behavior of the estimators for the parameters of INARCH(2) processes obtained using three di erent methods (Yule- Walker, conditional least squares, and conditional maximum likelihood), in terms of mean squared error, mean absolute error and bias. We present some forecast proposals for INARCH(2) processes, which are compared again via Monte Carlo simulation. As an application of this proposed theory, we model a dataset related to the number of live male births of mothers living at Riachuelo city, in the state of Rio Grande do Norte, Brazil.

Estimação e previsão no processo INARCH(2)

In the last decades the study of integer-valued time series has gained notoriety due to its broad applicability (modeling the number of car accidents in a given highway, or the number of people infected by a virus are two examples). One of the main interests of this area of study is to make forecasts, and for this reason it is very important to propose methods to make such forecasts, which consist of nonnegative integer values, due to the discrete nature of the data. In this work, we focus on the study and proposal of forecasts one, two and h steps ahead for integer-valued second-order autoregressive conditional heteroskedasticity processes [INARCH (2)], and in determining some theoretical properties of this model, such as the ordinary moments of its marginal distribution and the asymptotic distribution of its conditional least squares estimators. In addition, we study, via Monte Carlo simulation, the behavior of the estimators for the parameters of INARCH(2) processes obtained using three di erent methods (Yule- Walker, conditional least squares, and conditional maximum likelihood), in terms of mean squared error, mean absolute error and bias. We present some forecast proposals for INARCH(2) processes, which are compared again via Monte Carlo simulation. As an application of this proposed theory, we model a dataset related to the number of live male births of mothers living at Riachuelo city, in the state of Rio Grande do Norte, Brazil.

Previsão do índice bovespa por meio de redes neurais artificiais: uma análise comparada aos métodos tradicionais de séries de tempo

Forecast is the basis for making strategic, tactical and operational business decisions. In financial economics, several techniques have been used to predict the behavior of assets over the past decades.Thus, there are several methods to assist in the task of time series forecasting, however, conventional modeling techniques such as statistical models and those based on theoretical mathematical models have produced unsatisfactory predictions, increasing the number of studies in more advanced methods of prediction. Among these, the Artificial Neural Networks (ANN) are a relatively new and promising method for predicting business that shows a technique that has caused much interest in the financial environment and has been used successfully in a wide variety of financial modeling systems applications, in many cases proving its superiority over the statistical models ARIMA-GARCH. In this context, this study aimed to examine whether the ANNs are a more appropriate method for predicting the behavior of Indices in Capital Markets than the traditional methods of time series analysis. For this purpose we developed an quantitative study, from financial economic indices, and developed two models of RNA-type feedfoward supervised learning, whose structures consisted of 20 data in the input layer, 90 neurons in one hidden layer and one given as the output layer (Ibovespa). These models used backpropagation, an input activation function based on the tangent sigmoid and a linear output function. Since the aim of analyzing the adherence of the Method of Artificial Neural Networks to carry out predictions of the Ibovespa, we chose to perform this analysis by comparing results between this and Time Series Predictive Model GARCH, developing a GARCH model (1.1).Once applied both methods (ANN and GARCH) we conducted the results' analysis by comparing the results of the forecast with the historical data and by studying the forecast errors by the MSE, RMSE, MAE, Standard Deviation, the Theil's U and forecasting encompassing tests. It was found that the models developed by means of ANNs had lower MSE, RMSE and MAE than the GARCH (1,1) model and Theil U test indicated that the three models have smaller errors than those of a naïve forecast. Although the ANN based on returns have lower precision indicator values than those of ANN based on prices, the forecast encompassing test rejected the hypothesis that this model is better than that, indicating that the ANN models have a similar level of accuracy . It was concluded that for the data series studied the ANN models show a more appropriate Ibovespa forecasting than the traditional models of time series, represented by the GARCH model

Modelagem e previsão da perda de injetividade em poços canhoneados

Waterflooding is a technique largely applied in the oil industry. The injected water displaces oil to the producer wells and avoid reservoir pressure decline. However, suspended particles in the injected water may cause plugging of pore throats causing formation damage (permeability reduction) and injectivity decline during waterflooding. When injectivity decline occurs it is necessary to increase the injection pressure in order to maintain water flow injection. Therefore, a reliable prediction of injectivity decline is essential in waterflooding projects. In this dissertation, a simulator based on the traditional porous medium filtration model (including deep bed filtration and external filter cake formation) was developed and applied to predict injectivity decline in perforated wells (this prediction was made from history data). Experimental modeling and injectivity decline in open-hole wells is also discussed. The injectivity of modeling showed good agreement with field data, which can be used to support plan stimulation injection wells

Um Modelo híbrido para previsão de curvas de produção de petróleo

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior