O presente estudo analisa a evolução, o comportamento e a natureza cíclica do crédito brasileiro no período compreendido entre janeiro de 2003 e dezembro de 2013. Mais especificamente, verifica se a postura da condução da oferta de crédito público, de fato, destoou daquela apresentada pelo crédito privado, especialmente após o advento da crise financeira de 2007/2008. Para tanto, se vale de uma revisão das literaturas nacional e internacional e realiza um resgate histórico dos principais bancos públicos do Brasil – etapa que se dá concomitantemente à análise da evolução do desempenho dos mesmos nos últimos tempos. Com isso, além de se mostrar a performance recente destas instituições, demonstra-se também que, a despeito da redução da participação das instituições bancárias públicas na década de 1990, estas foram decisivas para a melhor reação da economia brasileira frente aos efeitos adversos da crise de 2007/2008 – o que fornece mais indícios da validade do problema de pesquisa e traz, por conseguinte, mais força à hipótese de trabalho. Na sequência, são discutidos alguns aspectos metodológicos no intuito de identificar qual a modelagem econométrica seria a mais adequada para descobrir como os bancos públicos e privados se comportaram no período abordado e, mais especificamente, como eles reagiram após o advento da crise financeira dos subprimes – procurou-se também, uma abordagem que, especificamente, ajudasse a desvendar a natureza cíclica dos créditos privado e público. Nesse sentido, optou-se pela modelagem econométrica denominada de Modelos Estruturais de Espaço de Estados, também conhecida como Modelos de Componentes não-observáveis. Através desta metodologia, foi possível verificar, de maneira endógena, se existiram e quando ocorreram outliers e quebras estruturais nas séries de dados referentes à evolução do crédito brasileiro no período. Os resultados obtidos vieram a corroborar a hipótese de trabalho, mostrando a existência de uma relação negativa e estatisticamente significante entre as variáveis representativas do produto interno bruto e as do crédito público e do crédito total. Dessa maneira, chegou-se à conclusão de que, realmente, o crédito público mostrou características contra-cíclicas no período de 2003 a 2013, especialmente após o ano de 2008 – fato que é reforçado pela ocorrência de quebras de nível positivas neste ano. / This study analyses the evolution, behavior and cyclical nature of the Brazilian credit supply in the period from January 2003 to December 2013. Specifically, it checks if the posture of public credit supply’s conduction has differed, indeed, from the one presented by the private credit, particularly after the financial crisis of 2007-08. For this purpose, this paper reviews national and international literature and performs a historical examination of the main Brazilian state-owned banks – which is presented concomitantly to the analysis of their lately performance’s evolution. Therewith, besides showing these institutions’ recent performance, it also demonstrates that, in spite of the reduction in the state-owned banks participation in the 1990s, these were decisive to the better reaction of the Brazilian economy in the face of the adverse effects of the 2007-08 crisis – which provides further evidence of the research question validity and brings, therefore, strenght to the working hypothesis. In the next step, some methodological aspects are discussed aiming to identify which would be the most appropriate econometric modelling to find out how the public and private banks behaved in this period, and specifically, to discover how they reacted after the subprime financial crisis – in this point, a research was made in order to identify an approach that, particularly, helped to reveal the cyclical nature of private and public credits. It was decided to use an econometric approach called Space-State Modelling, also known as Unobservable Component Models. Through this methodology, it was possible to check, in an endogenous way, if there were – and when they occurred – outliers and structural breaks in the data series referring to the Brazilian credit evolution in the period. The results came to support the working hypothesis, showing the existence of a negative and statistically significant relationship between the variables representing the gross domestic product and the ones representing public credit and the total credit. Thus, it was concluded that the public credit, indeed, showed counter-cyclical characteristics in the period between 2003 and 2013, especially after 2008 – a fact that is reinforced by the occurrence of positive level breaks in this year.

O presente estudo analisa a evolução, o comportamento e a natureza cíclica do crédito brasileiro no período compreendido entre janeiro de 2003 e dezembro de 2013. Mais especificamente, verifica se a postura da condução da oferta de crédito público, de fato, destoou daquela apresentada pelo crédito privado, especialmente após o advento da crise financeira de 2007/2008. Para tanto, se vale de uma revisão das literaturas nacional e internacional e realiza um resgate histórico dos principais bancos públicos do Brasil – etapa que se dá concomitantemente à análise da evolução do desempenho dos mesmos nos últimos tempos. Com isso, além de se mostrar a performance recente destas instituições, demonstra-se também que, a despeito da redução da participação das instituições bancárias públicas na década de 1990, estas foram decisivas para a melhor reação da economia brasileira frente aos efeitos adversos da crise de 2007/2008 – o que fornece mais indícios da validade do problema de pesquisa e traz, por conseguinte, mais força à hipótese de trabalho. Na sequência, são discutidos alguns aspectos metodológicos no intuito de identificar qual a modelagem econométrica seria a mais adequada para descobrir como os bancos públicos e privados se comportaram no período abordado e, mais especificamente, como eles reagiram após o advento da crise financeira dos subprimes – procurou-se também, uma abordagem que, especificamente, ajudasse a desvendar a natureza cíclica dos créditos privado e público. Nesse sentido, optou-se pela modelagem econométrica denominada de Modelos Estruturais de Espaço de Estados, também conhecida como Modelos de Componentes não-observáveis. Através desta metodologia, foi possível verificar, de maneira endógena, se existiram e quando ocorreram outliers e quebras estruturais nas séries de dados referentes à evolução do crédito brasileiro no período. Os resultados obtidos vieram a corroborar a hipótese de trabalho, mostrando a existência de uma relação negativa e estatisticamente significante entre as variáveis representativas do produto interno bruto e as do crédito público e do crédito total. Dessa maneira, chegou-se à conclusão de que, realmente, o crédito público mostrou características contra-cíclicas no período de 2003 a 2013, especialmente após o ano de 2008 – fato que é reforçado pela ocorrência de quebras de nível positivas neste ano. / This study analyses the evolution, behavior and cyclical nature of the Brazilian credit supply in the period from January 2003 to December 2013. Specifically, it checks if the posture of public credit supply’s conduction has differed, indeed, from the one presented by the private credit, particularly after the financial crisis of 2007-08. For this purpose, this paper reviews national and international literature and performs a historical examination of the main Brazilian state-owned banks – which is presented concomitantly to the analysis of their lately performance’s evolution. Therewith, besides showing these institutions’ recent performance, it also demonstrates that, in spite of the reduction in the state-owned banks participation in the 1990s, these were decisive to the better reaction of the Brazilian economy in the face of the adverse effects of the 2007-08 crisis – which provides further evidence of the research question validity and brings, therefore, strenght to the working hypothesis. In the next step, some methodological aspects are discussed aiming to identify which would be the most appropriate econometric modelling to find out how the public and private banks behaved in this period, and specifically, to discover how they reacted after the subprime financial crisis – in this point, a research was made in order to identify an approach that, particularly, helped to reveal the cyclical nature of private and public credits. It was decided to use an econometric approach called Space-State Modelling, also known as Unobservable Component Models. Through this methodology, it was possible to check, in an endogenous way, if there were – and when they occurred – outliers and structural breaks in the data series referring to the Brazilian credit evolution in the period. The results came to support the working hypothesis, showing the existence of a negative and statistically significant relationship between the variables representing the gross domestic product and the ones representing public credit and the total credit. Thus, it was concluded that the public credit, indeed, showed counter-cyclical characteristics in the period between 2003 and 2013, especially after 2008 – a fact that is reinforced by the occurrence of positive level breaks in this year.

Orientador: Gilmar Barreto / Dissertação (mestrado) - Universidade Estadual de Campinas, Faculdade de Engenharia Eletrica e de Computação / Made available in DSpace on 2018-08-12T10:12:12Z (GMT). No. of bitstreams: 1 GiraldoClavijo_David_M.pdf: 8609535 bytes, checksum: 3757243978613825c57c07d4e9b3cae4 (MD5) Previous issue date: 2008 / Resumo: Este estudo apresenta os fundamentos teóricos para modelagem de dados multivariáveis no espaço de estado através de Métodos de Subespaços para Identificação de sistemas lineares invariantes no tempo, discretos no tempo. O trabalho contém alguns conceitos básicos de sistemas dinâmicos, um pouco da história e os elementos de identificação de sistemas, modelos no espaço de estado e modelos estendidos no espaço de estado. Dois Métodos de Subespaços são analisados e tratados, o Multivariable Output-Error State-sPace (MOESP) e o Numerical algorithm for Subspace State-Space System IDentification (N4SID). Modificações nos seus algoritmos são propostas e implementadas. Experimentos com benchmarks são realizados para exemplificar o procedimento de identificação por subespaços e para avaliar os algoritmos modificados. / Abstract: This study presents the theoretical foundations of multivariable data modeling in state space by Subspace Methods for Systems Identification of linear time invariant, discrete time, systems. The work contains some basic concepts of dynamic systems, a little of history and the elements of systems identification, state space models and extended state space models. Two Subspace Methods are analyzed and applied, Multivariable Output-Error State-sPace (MOESP)and Numerical algorithm for Subspace State-Space System IDentification (N4SID). Some modifications then are proposed and implemented. Experiments with benchmarks are realized to show the procedure of Identification by subspace and to evaluate the modified algorithms. / Mestrado / Automação / Mestre em Engenharia Elétrica

Submitted by Marcos Pereira (marcoshenriquerios@gmail.com) on 2013-09-18T23:42:13Z No. of bitstreams: 1 Dissertacao_Marcos_Rios_final.pdf: 3400230 bytes, checksum: 55e2f8c2e2c24851639db9e8bda17832 (MD5) / Approved for entry into archive by Suzinei Teles Garcia Garcia (suzinei.garcia@fgv.br) on 2013-09-19T15:26:00Z (GMT) No. of bitstreams: 1 Dissertacao_Marcos_Rios_final.pdf: 3400230 bytes, checksum: 55e2f8c2e2c24851639db9e8bda17832 (MD5) / Made available in DSpace on 2013-09-19T15:30:35Z (GMT). No. of bitstreams: 1 Dissertacao_Marcos_Rios_final.pdf: 3400230 bytes, checksum: 55e2f8c2e2c24851639db9e8bda17832 (MD5) Previous issue date: 2013-08-27 / Esta dissertação pretende discutir a provisão de sinistros do tipo IBNR, bem como qual a melhor forma de estimar estas provisões. Para tanto, serão utilizados dados reais de uma grande seguradora Brasileira para um produto de seguro de um ramo Não Vida. Serão utilizados no cálculo o clássico método Chain Ladder e em contrapartida um modelo de Espaço de Estados e Filtro de Kalman, discutindo as flexibilidades, vantagens e desvantagens de se utilizar tal metodologia. / This master thesis discusses the claims reserve of the IBNR type, as well as the best way to estimate these provisions. For this purpose will be used the real data from a large Brazilian insurer for an insurance product from a non-life business. Will be used in calculating the classic Chain Ladder method and against this a State Space model and Kalman Filter, discussing the flexibilities, advantages and disadvantages of use such methodology.

[pt] Esta tese apresenta o estudo de um modelo de espaço de estados para dados positivos, onde o processo observado é condicionalmente independente, dado um processo latente Gama Markov. O processo observado condicionado ao processo latente tem distribuição Gama. O modelo possibilita a inclusão de covariáveis,tanto através do processo latente, como do processo observado.O modelo obtido é log-linear e a estimação dos parâmetros de regressão é feita através de funções de estimação de Kalman. Os parâmetros de dispersão são estimados via estimadores de Pearson ajustados. São desenvolvidos alguns estudos de simulação e uma aplicação aos dados da série de chuva de Fortaleza, Ceará, onde são incorporados fatos estilizados da série (tendência, sazonalidade ou ciclos), bem como o efeito de variáveis explicativas (temperatura do nível do mar, pressão atmosférica, manchas solares). / [en] This thesis presents a study of a state space model for positive data where the observed process is conditionally independent given a latent process gamma Markov process. The observed process conditioned to the latent process has gamma distribution. The model facilitates the inclusion of as many covariates through the latent process as of the observed process.The obtained model is log-linear and the estimate of the regression parameters is made through Kalman estimating functions. The dispersion parameters are obtained via the adjusted Pearson estimation. Some simulation studies and an application are developed to the data of the series of rainfall of Fortaleza, Ceará, where they are incorporate stylized facts of the series (tendency, sazonalidade or cycles) are include as well as the effect of explanatory variables (temperature of the level of the sea, pressure, sunspots).

The dissertation consists of three papers which apply Bayesian econometric techniques to monitoring macroeconomic and macro-financial developments in the economy. Its aim is to illustrate how Bayesian methods can be employed in standard areas of economic research (estimating systemic risk in the banking sectors, nowcasting GDP growth) and also in a more original area (monitoring developments in sovereign bond markets). In the first essay, we address a task which analytical departments in central banks or commercial banks face very often - nowcasting foreign demand of a small open economy. On the example of the Czech economy, we propose an approach to nowcast foreign GDP growth rates for the Czech economy. For presentation purposes, we focus on three major trading partners: Germany, Slovakia and France. We opt for a simple method which is very general and which has proved successful in the literature: the method based on bridge equation models. A battery of models is evaluated based on a pseudo-real- time forecasting exercise. The results for Germany and France suggest that the models are more successful at backcasting, nowcasting and forecasting than the naive random walk benchmark model. At the same time, the various models considered are more or less successful depending on the forecast horizon....

abstract: Behavior-driven obesity has become one of the most challenging global epidemics since the 1990s, and is presently associated with the leading causes of death in the U.S. and worldwide, including diabetes, cardiovascular disease, strokes, and some forms of cancer. The use of system identification and control engineering principles in the design of novel and perpetually adaptive behavioral health interventions for promoting physical activity and healthy eating has been the central theme in many recent contributions. However, the absence of experimental studies specifically designed with the purpose of developing control-oriented behavioral models has restricted prior efforts in this domain to the use of hypothetical simulations to demonstrate the potential viability of these interventions. In this dissertation, the use of first-of-a-kind, real-life experimental results to develop dynamic, participant-validated behavioral models essential for the design and evaluation of optimized and adaptive behavioral interventions is examined. Following an intergenerational approach, the first part of this work aims to develop a dynamical systems model of intrauterine fetal growth with the prime goal of predicting infant birth weight, which has been associated with subsequent childhood and adult-onset obesity. The use of longitudinal input-output data from the “Healthy Mom Zone” intervention study has enabled the estimation and validation of this fetoplacental model. The second part establishes a set of data-driven behavioral models founded on Social Cognitive Theory (SCT). The “Just Walk” intervention experiment, developed at Arizona State University using system identification principles, has lent a unique opportunity to estimate and validate both black-box and semiphysical SCT models for predicting physical activity behavior. Further, this dissertation addresses some of the model estimation challenges arising from the limitations of “Just Walk”, including the need for developing nontraditional modeling approaches for short datasets, as well as delivers a new theoretical and algorithmic framework for structured state-space model estimation that can be used in a broader set of application domains. Finally, adaptive closed-loop intervention simulations of participant-validated SCT models from “Just Walk” are presented using a Hybrid Model Predictive Control (HMPC) control law. A simple HMPC controller reconfiguration strategy for designing both single- and multi-phase intervention designs is proposed. / Dissertation/Thesis / Doctoral Dissertation Chemical Engineering 2021

No description available.

Stavové modely jsou neobyčejně užitečné v mnoha inženýrských a vědeckých oblastech. Jejich atraktivita vychází především z toho faktu, že poskytují obecný nástroj pro popis široké škály dynamických systémů reálného světa. Nicméně, z důvodu jejich obecnosti, přidružené úlohy inference parametrů a stavů jsou ve většině praktických situacích nepoddajné. Tato dizertační práce uvažuje dvě zvláště důležité třídy nelineárních a ne-Gaussovských stavových modelů: podmíněně konjugované stavové modely a Markovsky přepínající nelineární modely. Hlavní rys těchto modelů spočívá v tom, že---navzdory jejich nepoddajnosti---obsahují poddajnou podstrukturu. Nepoddajná část požaduje abychom využily aproximační techniky. Monte Carlo výpočetní metody představují teoreticky a prakticky dobře etablovaný nástroj pro řešení tohoto problému. Výhoda těchto modelů spočívá v tom, že poddajná část může být využita pro zvýšení efektivity Monte Carlo metod tím, že se uchýlíme k Rao-Blackwellizaci. Konkrétně, tato doktorská práce navrhuje dva Rao-Blackwellizované částicové filtry pro identifikaci buďto statických anebo časově proměnných parametrů v podmíněně konjugovaných stavových modelech. Kromě toho, tato práce adoptuje nedávnou particle Markov chain Monte Carlo metodologii pro návrh Rao-Blackwellizovaných částicových Gibbsových jader pro vyhlazování stavů v Markovsky přepínajících nelineárních modelech. Tyto jádra jsou posléze použity pro inferenci parametrů metodou maximální věrohodnosti v uvažovaných modelech. Výsledné experimenty demonstrují, že navržené algoritmy překonávají příbuzné techniky ve smyslu přesnosti odhadu a výpočetního času.

Network reconstruction is the process of recovering a unique structured representation of some dynamic system using input-output data and some additional knowledge about the structure of the system. Many network reconstruction algorithms have been proposed in recent years, most dealing with the reconstruction of strictly proper networks (i.e., networks that require delays in all dynamics between measured variables). However, no reconstruction technique presently exists capable of recovering both the structure and dynamics of networks where links are proper (delays in dynamics are not required) and not necessarily strictly proper.The ultimate objective of this dissertation is to develop algorithms capable of reconstructing proper networks, and this objective will be addressed in three parts. The first part lays the foundation for the theory of mathematical representations of proper networks, including an exposition on when such networks are well-posed (i.e., physically realizable). The second part studies the notions of abstractions of a network, which are other networks that preserve certain properties of the original network but contain less structural information. As such, abstractions require less a priori information to reconstruct from data than the original network, which allows previously-unsolvable problems to become solvable. The third part addresses our original objective and presents reconstruction algorithms to recover proper networks in both the time domain and in the frequency domain.