982 resultados para CENTRAL BANKS
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Neste trabalho, propusemos um modelo DSGE que busca responder algumas questões sobre políticas de afrouxamento monetário (Quantitative Easing - QE) recentemente implementadas em resposta à crise de 2008. Desenvolvemos um modelo DSGE com agentes heterogêneos e preferred-habitat nas compras de títulos do governo. Nosso modelo permite o estudo da otimalidade da compra de portfolio (em termos de duration dos títulos) para os bancos centrais quando estão implementando a política. Além disso, a estrutura heterogênea nos permite olhar para distribuição de renda provocada pelas compras de títulos. Nossos resultados preliminares evidenciam o efeito distributivo do QE. No entanto, nosso modelo expandido apresentou alguns problemas de estabilidade.
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In the first essay, "Determinants of Credit Expansion in Brazil", analyzes the determinants of credit using an extensive bank level panel dataset. Brazilian economy has experienced a major boost in leverage in the first decade of 2000 as a result of a set factors ranging from macroeconomic stability to the abundant liquidity in international financial markets before 2008 and a set of deliberate decisions taken by President Lula's to expand credit, boost consumption and gain political support from the lower social strata. As relevant conclusions to our investigation we verify that: credit expansion relied on the reduction of the monetary policy rate, international financial markets are an important source of funds, payroll-guaranteed credit and investment grade status affected positively credit supply. We were not able to confirm the importance of financial inclusion efforts. The importance of financial sector sanity indicators of credit conditions cannot be underestimated. These results raise questions over the sustainability of this expansion process and financial stability in the future. The second essay, “Public Credit, Monetary Policy and Financial Stability”, discusses the role of public credit. The supply of public credit in Brazil has successfully served to relaunch the economy after the Lehman-Brothers demise. It was later transformed into a driver for economic growth as well as a regulation device to force private banks to reduce interest rates. We argue that the use of public funds to finance economic growth has three important drawbacks: it generates inflation, induces higher loan rates and may induce financial instability. An additional effect is the prevention of market credit solutions. This study contributes to the understanding of the costs and benefits of credit as a fiscal policy tool. The third essay, “Bayesian Forecasting of Interest Rates: Do Priors Matter?”, discusses the choice of priors when forecasting short-term interest rates. Central Banks that commit to an Inflation Target monetary regime are bound to respond to inflation expectation spikes and product hiatus widening in a clear and transparent way by abiding to a Taylor rule. There are various reports of central banks being more responsive to inflationary than to deflationary shocks rendering the monetary policy response to be indeed non-linear. Besides that there is no guarantee that coefficients remain stable during time. Central Banks may switch to a dual target regime to consider deviations from inflation and the output gap. The estimation of a Taylor rule may therefore have to consider a non-linear model with time varying parameters. This paper uses Bayesian forecasting methods to predict short-term interest rates. We take two different approaches: from a theoretic perspective we focus on an augmented version of the Taylor rule and include the Real Exchange Rate, the Credit-to-GDP and the Net Public Debt-to-GDP ratios. We also take an ”atheoretic” approach based on the Expectations Theory of the Term Structure to model short-term interest. The selection of priors is particularly relevant for predictive accuracy yet, ideally, forecasting models should require as little a priori expert insight as possible. We present recent developments in prior selection, in particular we propose the use of hierarchical hyper-g priors for better forecasting in a framework that can be easily extended to other key macroeconomic indicators.
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The onset of the financial crisis in 2008 and the European sovereign crisis in 2010 renewed the interest of macroeconomists on the role played by credit in business cycle fluctuations. The purpose of the present work is to present empirical evidence on the monetary policy transmission mechanism in Brazil with a special eye on the role played by the credit channel, using different econometric techniques. It is comprised by three articles. The first one presents a review of the literature of financial frictions, with a focus on the overlaps between credit activity and the monetary policy. It highlights how the sharp disruptions in the financial markets spurred central banks in developed and emerging nations to deploy of a broad set of non conventional tools to overcome the damage on financial intermediation. A chapter is dedicated to the challenge face by the policymaking in emerging markets and Brazil in particular in the highly integrated global capital market. This second article investigates the implications of the credit channel of the monetary policy transmission mechanism in the case of Brazil, using a structural FAVAR (SFAVAR) approach. The term “structural” comes from the estimation strategy, which generates factors that have a clear economic interpretation. The results show that unexpected shocks in the proxies for the external finance premium and the credit volume produce large and persistent fluctuations in inflation and economic activity – accounting for more than 30% of the error forecast variance of the latter in a three-year horizon. Counterfactual simulations demonstrate that the credit channel amplified the economic contraction in Brazil during the acute phase of the global financial crisis in the last quarter of 2008, thus gave an important impulse to the recovery period that followed. In the third articles, I make use of Bayesian estimation of a classical neo-Keynesian DSGE model, incorporating the financial accelerator channel developed by Bernanke, Gertler and Gilchrist (1999). The results present evidences in line to those already seen in the previous article: disturbances on the external finance premium – represented here by credit spreads – trigger significant responses on the aggregate demand and inflation and monetary policy shocks are amplified by the financial accelerator mechanism. Keywords: Macroeconomics, Monetary Policy, Credit Channel, Financial Accelerator, FAVAR, DSGE, Bayesian Econometrics
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In recent years, many central banks have adopted inflation targeting policies starting an intense debate about which measure of inflation to adopt. The literature on core inflation has tried to develop indicators of inflation which would respond only to "significant" changes in inflation. This paper defines a measure of core inflation as the common trend of prices in a multivariate dynamic model, that has, by construction, three properties: it filters idiosyncratic and transitory macro noises, and it leads the future leveI of headline inflation. We also show that the popular trimmed mean estimator of core inflation could be regarded as a proxy for the ideal GLS estimator for heteroskedastic data. We employ an asymmetric trimmed mean estimator to take account of possible skewness of the distribution, and we obtain an unconditional measure of core inflation.
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This paper presents an interpretation of the European crisis based on the balance of payments imbalances within the Eurozone and highlighting the role of the “internal” real exchange rates as a primary cause of the crisis. It explores the structural contradictions that turn the Euro into a “foreign currency” for each individual Eurozone country. These contradictions imply the inability of national central banks to monetize the public and private debts, which makes the Euro crisis a sovereign crisis similar to those typical of emerging countries, but whose solution presents additional obstacles.
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There are plenty of economic studies pointing out some requirements, like the inexistence of fiscal dominance, for inflation targeting framework be implemented in successful (credible) way. Essays on how public targets could be used in the absence of such requirements are unusual. In this papel' we appraise how central banks could use inflation targeting before soundness economic fundamentaIs have been achieved. First, based on concise framework, where confidence crises and imperfect information are neglected, we conclude that less ambitious (greater) target for inflation increases the credibility in the precommitment. Optimal target is higher than the one obtained using the Cukierman-Liviatan [7] model, where increasing credibility effect is not considered. Second, extending the model to make confidence crises possible, multiple equilibria solutions becomes possible too. In this case, to set greater targets for inflation may stimulate confidence crises and reduce the policymaker credibility. On the other hand, multiple (bad) equilibria may be avoided. The optimal target depends on the likelihood of each equilibrium be selected. Finally, when perturbing common knowledge uniqueness is restored even considering confidence crises, as in Morris-Shin[ 14]. The first result, i.e. less ambitious target for inflation increases credibility in precommitment, is also recovered. Adding a precise public signal, cOOl'dinated self-fulfilling actions and equilibrium multiplicity may still exist for some lack of common knowledge (as in Angeleto and Weming[l]). In this case, to set greater targets for inflation may stimulate confidence crisis again, reducing the policymaker credibility. From another aspect, multiple (bad) equilibria may be avoided. Optimal policy prescriptions depend on the likelihood of each equilibrium be selected. Results also indicate that more precise public information may open the door for bad equilibrium, contrary to the conventional wisdom that more central oank transparency is always good when considering inflation targeting framework.
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A crise financeira iniciada em 2007 gerou uma grande recessão nos Estados Unidos e abalou a economia global com consequências nefastas para o crescimento e a taxa de desemprego em vários países. Os principais Bancos Centrais do mundo passaram a dar maior importância para políticas que garantam a estabilidade financeira. É consensual a necessidade de avanços regulatórios e de medidas prudenciais capazes de reduzir os riscos financeiros, mas existem divergências quanto ao uso da taxa básica de juros, não só como um instrumento necessário para garantir a estabilidade de preços, como também para garantir a estabilidade financeira e evitar a formação de bolhas. O Brasil viveu nos últimos vinte anos um período de grande expansão do mercado de crédito, fruto das estabilidades econômica e financeira. O Banco Central do Brasil teve atuação exitosa durante a crise e demonstrou habilidade em utilizar instrumentos de política monetária e medidas macroprudenciais de forma complementar. Nos últimos quatro anos, as condições macroeconômicas se deterioraram e o Brasil atravessou um período de crescimento baixo, inflação próxima ao teto da meta e aumento do endividamento. Enquanto as políticas macroprudenciais foram capazes de evitar a formação de bolhas, as políticas fiscal e monetária foram demasiadamente expansionistas. Neste período houve um enfraquecimento na função-reação do Banco Central, que deixou de respeitar o princípio de Taylor.
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O trabalho relaciona, com um modelo de três fatores proposto por Huse (2007), variáveis macroeconômicas e financeiras observáveis com a estrutura a termo da taxa de juros (ETTJ) dos países da América Latina (Brasil, Chile, Colômbia e México). Consideramos os seguintes determinantes macroeconômicos: taxa de inflação, taxa de variação do nível de atividade, variação da taxa de câmbio, nível do credit default swaps (CDS), nível da taxa de desemprego, nível da taxa de juros nominal e fatores globais (inclinação da curva de juros norte-americana e variação de índices de commodities). Os modelos explicam mais do que 75% nos casos do Brasil, Chile e Colômbia e de 68% no caso do México. Variações positivas no nível de atividade e inflação são acompanhadas, em todos os países, de um aumento na ETTJ. Aumentos do CDS, com exceção do Chile, acarretam em aumento das taxas longas. Já crescimentos na taxa de desemprego têm efeitos distintos nos países. Ao mesmo tempo, depreciações cambiais não são acompanhadas de subida de juros, o que pode ser explicado pelos bancos centrais considerarem que depreciações de câmbio tem efeitos transitórios na inflação. No México, aumentos na ETTJ são diretamente relacionados com o índice de commodities de energia e metálicas. Já no caso brasileiro, em que os preços da gasolina são regulados e não impactam a inflação, esse canal não é relevante. Variações positivas na inclinação da curva norte-americana têm efeitos similares nas curvas da América Latina, reduzindo as taxas curtas e aumentando as taxas longas.
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