This thesis studies bubbles in the U.S. stock market and how they are influenced by monetary policy pursued by the FED. Using Kalman filtering, the log-real price of S&P 500 is decomposed into a market-fundamentals component and a bubble component. The market-fundamentals component depends on the expected future dividends and the required rate of return, while the bubble component is treated as an unobserved state vector in the state-space model. The results suggest that, mainly in recent decades, the bubble has accounted for a substantial portion of S&P 500 price dynamics and might have played a significant role during major bull and bear markets. The innovation of this thesis is that it goes one step further and investigates the effects of monetary policy on both estimated components of S&P 500. For this purpose, the block- restriction VAR model is employed. The findings indicate that the decreasing interest rates have a significant short-term positive effect on the market-fundamentals component but not on the bubble. On the other hand, quantitative easing seems to have a positive effect on the bubble but not on the market-fundamentals component. Finally, the results suggest that the FED has not been successful at distinguishing between stock price movements due to fundamentals or the price misalignment.

Cette thèse présente trois essais qui fournissent un aperçu global de la manière dont les chocs au niveau du marché immobilier affectent l'économie et vice versa.Dans le premier essai, nous utilisons des modèles de Markov à changement de régimes avec des probabilités qui dépendent du temps et des probabilités fixes afin d'évaluer l'ampleur des mécanismes de transmission entre le marché de placements immobiliers, le marché du logement et le marché boursier au Royaume-Uni et aux États-Unis. Nous montrons que la relation entre les marchés immobiliers et les marchés des actions est plus significative quand les marchés immobiliers sont considérés comme des variables explicatives.Dans le deuxième essai, nous introduisons le marché d'immobilier commercial afin d'identifier les interactions entre différents marchés immobiliers et certaines variables macroéconomiques. Nous utilisons une fonction de cohérence dynamique dans un cadre d'analyse spectrale pour évaluer ces liens. Les résultats montrent une tendance commune à long terme des différents marchés immobiliers. Aux États-Unis, les canaux de transmissions: richesse et dépenses de logement sont très conducteurs en cas de crise immobilière. Cependant, au Royaume-Uni, seulement le canal de la richesse s'avère conducteur dans les périodes de ralentissement du marché immobilier. Le troisième essai développe un cadre pour modéliser le marché de logement français. Nous élaborons et estimons un modèle de recherche d'équilibre du marché du logement segmenté entre locataires et propriétaires se caractérisant par une hétérogénéité des besoins de logement. Notre modèle reproduit l'évolution des prix de l'immobilier sur le marché français de 1996 à 2006, ainsi que la corrélation entre le prix, l'âge et la durée. En outre, nous montrons que l'inadéquation des individus avec leur logement est fortement corrélée avec le cycle de vie, et que l'agrégation de ces événements peut empêcher l'équilibre du marché à long terme. / This thesis contains three essays on the linkages between real estate and the wider economy. We provide a global snapshot of how shocks in the real estate market affect the economy and vice versa. In the first essay, we use Markov Switching models with time varying transition probabilities and fixed time transition probabilities in order to assess the magnitude of the transmission mechanisms between real estate markets and stock markets in the UK and the US. The results show a more significant credit price effect than a wealth effect. In addition, the different features of the linkages between real estate markets and stock markets are explained by the difference in the indices constructions of the housing prices and the REIT models in the two countries.In the second essay, an additional property market is included to further investigate the links of different real estate markets with some key macroeconomic variables. We use a dynamic coherence function in a spectral framework to assess these linkages. We find a common trend that drives all the real estate markets, particularly in the long run. The results show that in the US, wealth and housing expenditure channels are very conductive during real estate crises. However, for the UK, only the wealth is significant as a transmission channel during real estate market downturns. The third essay develops a framework that models the French housing market. We specify and estimate an equilibrium search model of the housing market that features a segmented housing market with heterogeneity in housing need. Our model reproduces almost exactly the evolution of French housing prices from 1996 to 2006, along with the correlation between price, age and duration. In addition we show that individuals mismatch is highly correlated with the life-cycle, and that aggregation of such events can prevent the market from clearing over a long period of time.

The aim of this thesis is to verify and analyse presumed relations between selected macro-fundamentals, namely USD exchange rate, production index, interbank offered rate, inflation, money supply and two exogenous indices ( Standard & Poor's 500 and EURO STOXX 50), and CEE (Austria, Czech Republic, Poland, Hungary) or SEE (Bulgaria, Croatia, Slovenia, Romania) financial markets over the period from December 1995 to December 2015. In order to test the long-run cointegration relationships between studied markets and the set of macroeconomic variables, the Engle-Granger and Johansen tests are applied. The vector error correction model is used to confirm the long-run equilibrium interlinkages and the results show similar trend tendencies between stock indices and some of the macro-fundamentals in Croatia, Czech Republic, Hungary, Poland and Romania. To verify the short-run causal linkages, the Granger causality test is employed. Based on retrieved findings, the efficiency of studied markets with respect to Efficient Market Theory is reviewed. Our findings reveal several pairwise short-run causal impacts between studied macroeconomic indicators and stock indices. The only indicator which does not impact any stock market is the interbank offered rate. Moreover, according to our results, all CEE&SEE stock...

Uma característica marcante da recente crise financeira que ocorreu entre 2007 e 2009, conhecida como \"A Crise do Subprime\", foi quão rapidamente se propagou por todo o mundo. Entretanto, a maior parte da evidência empírica até o presente momento mostra que no início da crise (jun/07 - ago/08) a resposta das economias emergentes foi limitada. Este trabalho corrobora este fato, bem como a rápida saída da crise, para um grupo de países emergentes em acelerado processo de desenvolvimento: Brasil, Rússia, Índia e China, os BRICs. Encontramos ainda evidências de que a China exerceu, principalmente durante a crise, forte impacto positivo nos BRICs, o que nos levou a concluir que este foi um fator importante para que fossem menos afetados, quando comparados com economias desenvolvidas como os EUA. Também mostramos que países dentre os BRICs cuja atividade econômica apresenta maior semelhança - Brasil X Rússia e Índia X China - são afetados de modo geral de forma análoga e observamos ainda evidência de notáveis ligações financeiras entre os países do grupo. Por último, notamos que variáveis reais dos BRICs responderam com menor intensidade aos efeitos da crise quando comparadas a variáveis financeiras do próprio grupo e variáveis reais de países desenvolvidos. Para o estudo, utilizamos modelos S-VAR, VEC e testes de cointegração em painel, este último para os modelos com variáveis macroeconômicas reais. Também utilizamos um índice de propagação de calor, desenvolvido pelo Fundo Monetário Internacional (FMI), que mede a intensidade dos efeitos da crise nas variáveis para cada instante do tempo. / One of the main characteristics of the recent financial crisis that took place between 2007 and 2009, known as \"The Subprime Crisis\", was how fast it spread all around the globe. Nevertheless, most empirical evidence shows that at the beginning of the crisis (Jun/07- Aug/08) emerging markets\' response was limited. This present study corroborates this idea for a fast raising group of emerging economies: Brazil, Russia, India and China, the BRICs. We show as well how rapid these economies have managed to get out of the crisis and the not negligent positive impact that China had in all of them, especially during the crisis period. We infer that China\'s booming economy must have been one of the main factors that made the crisis\' impact reduced for the BRICs when compared to developed countries such as the US. We also show that countries among the BRICs that have more similarities - Brazil X Russia and India X China - were in general affected in an analogous way and we observe that there are strong financial links between group members. Last, we find that the crisis\' effect on real BRIC\'s macroeconomic variables was not as intense as those on developed countries or on BRIC\'s financial variables. For this study, we use S-VAR, VEC and Panel Cointegration Models. This last one was used for models with real macroeconomic variables. To draw our conclusions, we also utilize a Heat Index which has been developed by the International Monetary Fund (IMF).This index is a measure of the crisis\' effects intensity on economic variables through time.

Made available in DSpace on 2015-03-05T18:57:21Z (GMT). No. of bitstreams: 0 Previous issue date: 29 / Nenhuma / O objetivo deste trabalho é analisar o mercado de capitais, a governança corporativa e as disposições das empresas mineiras e gaúchas, de médio e grande porte, a abrir o capital. Para tanto, utilizaremos o modelo logit sobre os bancos de dados originais de duas relevantes pesquisas: FIEMG et al. (2007) e FIERGS et al. (2008). Em especial, buscaremos determinar se as práticas de governança corporativa, adotadas pelas empresas, aumentam sua disposição em abrir o capital. Chegamos à conclusão de que a adoção de práticas de governança corporativa pelas empresas de capital fechado não é suficiente para determinar quais são as empresas com maior disposição à abertura de capital. No entanto, verificamos que a variável grau de compartilhamento de poder, elemento determinante de governança corporativa, encontra-se extremamente relacionada com esta disposição. / The goal of this study is to analyze the stock markets, the corporative governance and the likelihood of mining industries of Minas Gerais and Rio Grande do Sul, of medium and large dimension, of opening capital. For such, we will use the logit model of the original data bank from two relevant researches; FIEMG et al (2007) and FIERGS et al (2008). In special, we will attempt to determine if practicing corporative governance, adopted by these firms, increases its likelihood in opening capital. We have come upon the conclusion that adopting corporative governance by firms of closed capital is not sufficient to determine which industries are more susceptible to opening capital. However, we have verified that the degree of power sharing, determining element in corporative governance, finds itself extremely related to this likelihood.

The common theme throughout the thesis is to explore the possibility of using a single framework, namely the systems theory framework, in modeling a few stylized features of a financial market. A systems theoretic model is developed, in this thesis in Chapter 3, for confidence bias of an individual. The effect of this bias on his investment decision is brought out explicitly. The phenomenon of excessive trading, arising due to overconfidence and optimism, has been explained. The concept of virtual capital, incorporating the ideas from prospect theory, is introduced. We have proposed a dynamical system framework to model limits to arbitrage and the herding behavior in financial markets in Chapter 4. The market evolves due to the participation of traders. It is instructive to look at the market as a system evolving from a set of initial conditions during every time interval. In the proposed model, herding is defined as a specific relation between the system responses. The proposed herding measure quantifies how far the individual is from clustering with others. It is also shown how this interpretation helps us to understand the effects of herding. There exists a risk when the market price variation, due to herding, is thought of as entirely due to the portfolio fundamentals. The generic dynamical system model that captures some aspects of the limits of arbitrage is also proposed wherein fundamental risk, noise trader risk, implementation risk, and model risk can be incorporated. The proposed model offers a single framework to study the Marginally Efficient Market and Synchronization Risk models. In Chapter 5, we have proposed a switching dynamical system with minority game rules incorporated within the framework. We have explored the possibility of developing a market model, in Chapter 6, in the same framework that has been used to develop models for arbitrage and herding. We have explored, in this thesis, the possibility of using a single framework to model stylized features of stock market. It will be a long way before a single model can capture all complex characteristic features of a stock market. We have attempted, in this thesis, to capture a few stylized features in a single framework, if not in a single model. Different models proposed for individual confidence bias, limits to arbitrage, herding, and switching model for incorporating minority games are all set up in system dynamics framework. This leads to a stage where one can explore incorporating other features, not addressed in this thesis, in system dynamics framework. If each feature is captured using a different framework like confidence bias as stochastic system, herding as pattern cluster, limits to arbitrage as rule-based agents, etc., it would be difficult to integrate them into a single framework. But, in the present work, we have captured the chosen stylized features using system dynamics framework though individual models differ from each other substantially. The challenges are many in creating a single framework. The vision of such framework may involve different components such as modeling decision making, considering risk profiles, devising investment strategies, etc. Stylized features would come as emergent properties of complex interactions among the components of the system. Emergence refers to the way in which multiplicity of simple interactions lead to complex behavior. Emergence of such features may include different time scales of causal relationships among components. System may have thresholds, determined by diversity of traders and nature of interactions, which is vital for features to become emergent. This can be seen in practice. Stock market regulates the relative prices of companies across the world. There is no single central agency to control the workings of the market. Traders have knowledge of only few companies within their portfolio, and to follow transaction rules. Trends and patterns are still emerging which are studied by technical analysts. Emergent properties are mostly signature of self-organizing complex system. Self-organization in complex system relies on four properties which are fundamental in system dynamics framework: positive feedback, negative feedback, multiple interactions, and balance among strategies. A complex adaptive stock market system which is self-organizing and exhibit stylized features as emergent property is a distant goal of system theorists around the world. The challenge does not end there. We have attempted to model and study the stylized features of a stock market in systems theory framework. The focus of our approach is to use the dynamical system modeling to study the features. We have not considered the investment aspects in a financial market. The investment models are very important in real life for individuals and policy-makers. Future extension of the ideas explored in this thesis could be along the lines of creating investment models for individuals and policy-makers. Creating such models using complex adaptive stock market system goes a long way in understanding a phenomenon that had started by Dutch East India Company issuing shares on Amsterdam Stock Exchange way back in 1602.

[pt] Nos últimos anos, vem crescendo o interesse acerca da predição do comportamento do mercado de capitais, tanto por parte dos investidores quanto dos pesquisadores. Apesar do grande número de publicações tratando esse problema, predizer com eficiência futuras tendências e desenvolver estratégias de negociação capazes de traduzir boas predições em lucros são ainda grandes desafios. A dificuldade em realizar tais tarefas se deve tanto à não linearidade e grande volume de ruídos presentes nos dados do mercado, quanto à falta de sistemas que possam avaliar com propriedade a qualidade das predições realizadas. Nesse trabalho, são realizadas predições de séries temporais visando auxiliar o investidor tanto em operações de compra e venda, como em Pairs Trading. Além disso, as predições são feitas considerando duas diferentes periodicidades. Uma predição interday, que considera apenas dados diários e tem como objetivo a predição de valores referentes ao presente dia. E uma predição intraday, que visa predizer valores referentes a cada hora de negociação do dia atual e para isso considera também os dados intraday conhecidos até o momento que se deseja prever. Para ambas as tarefas propostas, foram testadas três ferramentas de predição, quais sejam, Regressão por Mínimos Quadrados Parciais, Regressão por Vetores de Suporte e Redes Neurais Artificiais. Com o intuito de melhor avaliar a qualidade das predições realizadas, é proposto ainda um trading system. Os testes foram realizados considerando ativos das companhias mais negociadas da BM e FBOVESPA, a bolsa de valores oficial do Brasil e terceira maior do mundo. Os resultados dos três preditores são apresentados e comparados a quatro benchmarks, bem como com a solução ótima. A diferença na qualidade de predição, considerando o erro de predição ou as métricas do trading system, são notáveis. Se quando analisado apenas o Erro Percentual Absoluto Médio os preditores propostos não mostram uma melhora significativa, quando as métricas do trading system são consideradas eles apresentam um resultado bem superior. O retorno anual do investimento em alguns casos atinge valor superior a 300 por cento. / [en] The interest of both investors and researchers in stock market behavior forecasting has increased throughout the recent years. Despite the wide number of publications examining this problem, accurately predicting future stock trends and developing business strategies capable of turning good predictions into profits are still great challenges. This is partly due to the nonlinearity and noise inherent to the stock market data source, and partly because benchmarking systems to assess the forecasting quality are not publicly available. Here, we perform time series forecasting aiming to guide the investor both into Pairs Trading and buy and sell operations. Furthermore, we explore two different forecasting periodicities. First, an interday forecast, which considers only daily data and whose goal is predict values referring to the current day. And second, the intraday approach, which aims to predict values referring to each trading hour of the current day and also takes advantage of the intraday data already known at prediction time. In both forecasting schemes, we use three regression tools as predictor algorithms, which are: Partial Least Squares Regression, Support Vector Regression and Artificial Neural Networks. We also propose a trading system as a better way to assess the forecasting quality. In the experiments, we examine assets of the most traded companies in the BM and FBOVESPA Stock Exchange, the world s third largest and official Brazilian Stock Exchange. The results for the three predictors are presented and compared to four benchmarks, as well as to the optimal solution. The difference in the forecasting quality, when considering either the forecasting error metrics or the trading system metrics, is remarkable. If we consider just the mean absolute percentage error, the proposed predictors do not show a significant superiority. Nevertheless, when considering the trading system evaluation, it shows really outstanding results. The yield in some cases amounts to an annual return on investment of more than 300 per cent.

Submitted by ANDRE KOBAYASHI (atkobayashi@gmail.com) on 2015-09-10T14:16:31Z No. of bitstreams: 1 dissertacao-mestrado.pdf: 2295051 bytes, checksum: 493dbe4f172f9322cf8aa11f4de670b3 (MD5) / Rejected by Renata de Souza Nascimento (renata.souza@fgv.br), reason: André, boa tarde A formatação de seu trabalho não está de acordo com as normas da ABNT. Segue abaixo o que deverá ser alterado: - Título: Se não houve solicitação para alteração do mesmo, deverá deixa-lo igual consta em ATA e protocolo: OTIMIZAÇÃO DA MEDIDA OMEGA DE UM PORTFOLIO DE AÇÕES COM A UTILIZAÇÃO DE OPÇÕES SOBRE IBOVESPA. - CAPA: Retirar a formatação em negrito e observar o tamanho da fonte que deve ser tamanho 12. - FICHA CATALOGRÁFICA: Esta é a ficha que você recebeu em seu e-mail? Geralmente consta um código numérico junto à CDU e na sua ficha consta pontos de interrogação (CDU ???). - RESUMO e ABSTRACT: Justificar o texto. Não deve constar espaços entre os parágrafos. Att. on 2015-09-10T19:55:05Z (GMT) / Submitted by ANDRE KOBAYASHI (atkobayashi@gmail.com) on 2015-09-11T15:43:57Z No. of bitstreams: 1 dissertacao-mestrado.pdf: 2296089 bytes, checksum: a64acd53b9b023aec617de2098d90a84 (MD5) / Approved for entry into archive by Renata de Souza Nascimento (renata.souza@fgv.br) on 2015-09-11T17:31:41Z (GMT) No. of bitstreams: 1 dissertacao-mestrado.pdf: 2296089 bytes, checksum: a64acd53b9b023aec617de2098d90a84 (MD5) / Made available in DSpace on 2015-09-11T18:09:53Z (GMT). No. of bitstreams: 1 dissertacao-mestrado.pdf: 2296089 bytes, checksum: a64acd53b9b023aec617de2098d90a84 (MD5) Previous issue date: 2015-08-17 / The use of options in the financial market has gained importance because of its non-linear payoff and the ability to change the profile of the distribution of a portfolio returns. There are several strategies that are appropriate for each scenario the investor believes to be exposed, but as a set of scenarios forms a distribution of returns, we must use an appropriate measure to work with this type of information. Thus we used the Omega measure, which is a measure capable of capturing all moments of a distribution, given a threshold of returns. This study aims to develop a methodology that allows to optimize the Omega measure of a portfolio, through the use of options of IBOVESPA. To generate the distributions’ returns we used Monte Carlo simulation, with jumps and stochastic volatility. Finally, several analyzes were made on the results obtained in order to compare the optimal strategy with several random strategies, and also, a backtest to evaluate the effectiveness of the implementation of the optimized strategy. / O uso de opções no mercado financeiro tem ganhado relevância devido ao seu payoff não-linear e a possibilidade de alterar o perfil da distribuição de retornos de um portfolio. Existem diversas estratégias que são adequadas para cada cenário que o investidor acredita estar exposto, mas como o conjunto de cenários forma uma distribuição de retornos, devemos utilizar uma medida adequada para trabalhar com este tipo de informação. Assim, foi utilizada a medida Omega, que é uma medida capaz de capturar todos os momentos de uma distribuição, dado um limiar de retornos. Este trabalho se propõe a desenvolver uma metodologia que possibilite otimizar a medida Omega de um portfolio, através do uso de opções sobre o IBOVESPA. Para a geração das distribuições de retornos foi utilizada simulação de Monte Carlo, com jumps e volatilidade estocástica. Finalmente, foram feitas diversas análises sobre os resultados obtidos, afim de comparar a estratégia otimizada com diversas estratégias aleatórias, e também, realizado um backtest para avaliar a eficácia da implementação da estratégia otimizada.

Submitted by Mirian Abe (mirian_abe@yahoo.com.br) on 2011-09-21T14:00:34Z No. of bitstreams: 1 A Crise de 2008 e seu Impacto em Paises Economicamente Dependentes de Commodities.pdf: 1276747 bytes, checksum: 6c279c19ee74ca35e2d1d866b4327748 (MD5) / Approved for entry into archive by Suzinei Teles Garcia Garcia (suzinei.garcia@fgv.br) on 2011-09-21T14:23:12Z (GMT) No. of bitstreams: 1 A Crise de 2008 e seu Impacto em Paises Economicamente Dependentes de Commodities.pdf: 1276747 bytes, checksum: 6c279c19ee74ca35e2d1d866b4327748 (MD5) / Approved for entry into archive by Suzinei Teles Garcia Garcia (suzinei.garcia@fgv.br) on 2011-09-21T14:23:33Z (GMT) No. of bitstreams: 1 A Crise de 2008 e seu Impacto em Paises Economicamente Dependentes de Commodities.pdf: 1276747 bytes, checksum: 6c279c19ee74ca35e2d1d866b4327748 (MD5) / Made available in DSpace on 2011-09-21T14:25:42Z (GMT). No. of bitstreams: 1 A Crise de 2008 e seu Impacto em Paises Economicamente Dependentes de Commodities.pdf: 1276747 bytes, checksum: 6c279c19ee74ca35e2d1d866b4327748 (MD5) Previous issue date: 2011-08-31 / In this paper, the impact of commodities prices, measured through the CRB index, over the stock markets of six emerging economies, strongly dependent of these type of products, is analyzed. The sample includes South Africa, Brazil, Chile, India and Mexico, as exporters, and China, as importer. Besides commodities prices, other variables have an influence over the stock markets behavior, being the market humor and the foreign exchange very relevant, even more when it comes to emerging markets, that are subject to a certain degree of speculation coming from foreign investors. So, this work includes the S&P 500 and the foreign exchange as a control variable to serve as a thermometer of these intentions. The analysis is split between the periods before and after the global financial crisis that took over the markets on the second semester of 2008. The intention behind this separation is to verify if the investors behavior has changed after the crisis and if local economic indicators demonstrated more relevance in their investment decisions. Generally, the conclusion is that the impact of commodities prices in the stock markets increased after the crisis, and that the influence of the external market humor decreased. One possible understanding for this finding is that commodities producers were indeed less affected by the crisis and their economic performances detached from developed countries. One of the main reasons for this detachment is the rise of other countries, such as China, as inducers of the world economic development, and the transformation of these very emergent economies into regional focuses of growth. / Este trabalho pretende estudar o impacto dos preços das commodities, medido através do índice CRB, sobre os mercados de renda variável de seis países considerados emergentes e que têm o desempenho de suas economias fortemente atrelados a esta categoria de produtos. Dentro da amostra selecionada, África do Sul, Brasil, Chile, Índia e México são exportadores de commodities, e a China, é importadora destes produtos. Além dos preços das commodities, outras variáveis influenciam o comportamento das bolsas de valores, sendo o humor de mercado e o câmbio bastante relevantes, ainda mais quando se avalia mercados emergentes, que estão sujeitos a um certo grau de especulação por parte de investidores estrangeiros. Portanto, este estudo inclui o S&P 500 e o câmbio como variáveis de controle para servir como termômetro destas intenções. A análise é dividida entre os períodos anterior e posterior à crise financeira global que assolou os mercados no segundo semestre de 2008. A intenção por trás desta separação é verificar se o comportamento dos investidores mudou depois da crise e se indicadores econômicos locais passaram a ser mais relevantes nas suas decisões de investimento. De forma geral, pode-se concluir que o impacto dos preços das commodities nos mercados de renda variável aumentou após a crise, e que a influência do humor do mercado externo diminuiu. Um possível entendimento para esta constatação é que os países produtores de commodities realmente foram menos afetados pela crise e o desempenho de suas economias se descolou dos países desenvolvidos. Um dos principais motivos para este descolamento é a ascensão de outros países como indutores do crescimento mundial, tal como a China, e a transformação destes mesmos países emergentes em pólos regionais de crescimento.

Uma característica marcante da recente crise financeira que ocorreu entre 2007 e 2009, conhecida como \"A Crise do Subprime\", foi quão rapidamente se propagou por todo o mundo. Entretanto, a maior parte da evidência empírica até o presente momento mostra que no início da crise (jun/07 - ago/08) a resposta das economias emergentes foi limitada. Este trabalho corrobora este fato, bem como a rápida saída da crise, para um grupo de países emergentes em acelerado processo de desenvolvimento: Brasil, Rússia, Índia e China, os BRICs. Encontramos ainda evidências de que a China exerceu, principalmente durante a crise, forte impacto positivo nos BRICs, o que nos levou a concluir que este foi um fator importante para que fossem menos afetados, quando comparados com economias desenvolvidas como os EUA. Também mostramos que países dentre os BRICs cuja atividade econômica apresenta maior semelhança - Brasil X Rússia e Índia X China - são afetados de modo geral de forma análoga e observamos ainda evidência de notáveis ligações financeiras entre os países do grupo. Por último, notamos que variáveis reais dos BRICs responderam com menor intensidade aos efeitos da crise quando comparadas a variáveis financeiras do próprio grupo e variáveis reais de países desenvolvidos. Para o estudo, utilizamos modelos S-VAR, VEC e testes de cointegração em painel, este último para os modelos com variáveis macroeconômicas reais. Também utilizamos um índice de propagação de calor, desenvolvido pelo Fundo Monetário Internacional (FMI), que mede a intensidade dos efeitos da crise nas variáveis para cada instante do tempo. / One of the main characteristics of the recent financial crisis that took place between 2007 and 2009, known as \"The Subprime Crisis\", was how fast it spread all around the globe. Nevertheless, most empirical evidence shows that at the beginning of the crisis (Jun/07- Aug/08) emerging markets\' response was limited. This present study corroborates this idea for a fast raising group of emerging economies: Brazil, Russia, India and China, the BRICs. We show as well how rapid these economies have managed to get out of the crisis and the not negligent positive impact that China had in all of them, especially during the crisis period. We infer that China\'s booming economy must have been one of the main factors that made the crisis\' impact reduced for the BRICs when compared to developed countries such as the US. We also show that countries among the BRICs that have more similarities - Brazil X Russia and India X China - were in general affected in an analogous way and we observe that there are strong financial links between group members. Last, we find that the crisis\' effect on real BRIC\'s macroeconomic variables was not as intense as those on developed countries or on BRIC\'s financial variables. For this study, we use S-VAR, VEC and Panel Cointegration Models. This last one was used for models with real macroeconomic variables. To draw our conclusions, we also utilize a Heat Index which has been developed by the International Monetary Fund (IMF).This index is a measure of the crisis\' effects intensity on economic variables through time.