214 resultados para Brazilian Shield
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We estimate the effects of the adoption of mechanized agriculture led by a new environmental regulation on structural change of local labor markets within a large emerging country, Brazil. In 2002, the state of S\~{a}o Paulo passed a law outlying the timeline to end sugarcane pre-harvest burning in the state. The environmental law led to the fast adoption of mechanized harvest. We investigate if the labor intensity of sugarcane production decreases; and, if so, if it leads to structural changes in the labor market. We use satellite data containing the type of sugarcane harvesting -- manual or mechanic harvest -- paired with official labor market data.%, also geomorphometric data base for our instrumental variable correction. We find suggestive evidence that mechanization of the field led to an increase in utilization of formal workers and a reduction in formal labor intensity in the sugarcane sector. This is partially compensated by an increase in the share of workers in other agricultural crops and in the construction and services sector. Although we find a reduction in employment in the manufacturing sector, the demand generated by the new agro-industries affected positively the all sectors via an increase in workers' wage.
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The objective of this study is to investigate whether the relationship between order ow and the spot exchange rate stems from the fact that the ow aggregates information on dispersed economic fundamentals in the economy. To perform this test, a database that includes all transactions of the commercial and nancial segments of the Brazilian primary foreign exchange market between January of 1999 and May of 2008 was used. We show that the order ow was partly responsible for variations in in ation expectations over the time period and that this relationship did not remain robust, drawing comparisons with other fundamentals such as GDP and Industrial Production.
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This work assesses the forecasts of three nonlinear methods | Markov Switching Autoregressive Model, Logistic Smooth Transition Auto-regressive Model, and Auto-metrics with Dummy Saturation | for the Brazilian monthly industrial production and tests if they are more accurate than those of naive predictors such as the autoregressive model of order p and the double di erencing device. The results show that the step dummy saturation and the logistic smooth transition autoregressive can be superior to the double di erencing device, but the linear autoregressive model is more accurate than all the other methods analyzed.
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This study aims to contribute on the forecasting literature in stock return for emerging markets. We use Autometrics to select relevant predictors among macroeconomic, microeconomic and technical variables. We develop predictive models for the Brazilian market premium, measured as the excess return over Selic interest rate, Itaú SA, Itaú-Unibanco and Bradesco stock returns. We find that for the market premium, an ADL with error correction is able to outperform the benchmarks in terms of economic performance. For individual stock returns, there is a trade o between statistical properties and out-of-sample performance of the model.
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This article proposes an alternative methodology for estimating the effects of non-tariff measures on trade flows, based on the recent literature on gravity models. A two-stage Heckman selection model is applied to the case of Brazilian exports, where the second stage gravity equation is theoretically grounded on the seminal Melitz model of heterogeneous firms. This extended gravity equation highlights the role played by zero trade flows as well as firm heterogeneity in explaining bilateral trade among countries, two factors usually omitted in traditional gravity specifications found in previous literature. Last, it also proposes a economic rationale for the effects of NTM on trade flows, helping to shed some light on its main operating channels under a rather simple Cournot’s duopolistic competition framework.
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Esse é um dos primeiros trabalhos a endereçar o problema de avaliar o efeito do default para fins de alocação de capital no trading book em ações listadas. E, mais especificamente, para o mercado brasileiro. Esse problema surgiu em crises mais recentes e que acabaram fazendo com que os reguladores impusessem uma alocação de capital adicional para essas operações. Por essa razão o comitê de Basiléia introduziu uma nova métrica de risco, conhecida como Incremental Risk Charge. Essa medida de risco é basicamente um VaR de um ano com um intervalo de confiança de 99.9%. O IRC visa medir o efeito do default e das migrações de rating, para instrumentos do trading book. Nessa dissertação, o IRC está focado em ações e como consequência, não leva em consideração o efeito da mudança de rating. Além disso, o modelo utilizado para avaliar o risco de crédito para os emissores de ação foi o Moody’s KMV, que é baseado no modelo de Merton. O modelo foi utilizado para calcular a PD dos casos usados como exemplo nessa dissertação. Após calcular a PD, simulei os retornos por Monte Carlo após utilizar um PCA. Essa abordagem permitiu obter os retornos correlacionados para fazer a simulação de perdas do portfolio. Nesse caso, como estamos lidando com ações, o LGD foi mantido constante e o valor utilizado foi baseado nas especificações de basiléia. Os resultados obtidos para o IRC adaptado foram comparados com um VaR de 252 dias e com um intervalo de confiança de 99.9%. Isso permitiu concluir que o IRC é uma métrica de risco relevante e da mesma escala de uma VaR de 252 dias. Adicionalmente, o IRC adaptado foi capaz de antecipar os eventos de default. Todos os resultados foram baseados em portfolios compostos por ações do índice Bovespa.
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This paper has several original contributions. The rst is to employ a superior interpolation method that enables to estimate, nowcast and forecast monthly Brazilian GDP for 1980-2012 in an integrated way; see Bernanke, Gertler and Watson (1997, Brookings Papers on Economic Activity). Second, along the spirit of Mariano and Murasawa (2003, Journal of Applied Econometrics), we propose and test a myriad of interpolation models and interpolation auxiliary series all coincident with GDP from a business-cycle dating point of view. Based on these results, we nally choose the most appropriate monthly indicator for Brazilian GDP. Third, this monthly GDP estimate is compared to an economic activity indicator widely used by practitioners in Brazil- the Brazilian Economic Activity Index - (IBC-Br). We found that the our monthly GDP tracks economic activity better than IBC-Br. This happens by construction, since our state-space approach imposes the restriction (discipline) that our monthly estimate must add up to the quarterly observed series in any given quarter, whichmay not hold regarding IBC-Br. Moreover, our method has the advantage to be easily implemented: it only requires conditioning on two observed series for estimation, while estimating IBC-Br requires the availability of hundreds of monthly series. Third, in a nowcasting and forecasting exercise, we illustrate the advantages of our integrated approach. Finally, we compare the chronology of recessions of our monthly estimate with those done elsewhere.
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This dissertation main goal is to overview the Brazilian equity mutual funds returns. We find that active management is not effective for Ibovespa index, since Ibovespa active funds do not outperform the Ibovespa referenced funds. However, for IBrX index, active management do outperform the passive strategy. We found that Sustainable funds returns do not outperform the market, Endowment funds show poor performance, which could indicate strong regulation imposition over endowment funds portfolios. The size of a fund shows positive correlation to mean average returns and alphas. A fund’s lifetime is positively correlated to returns and to alphas, which could be related to more risk-taking by younger managers in order to pursue higher expected returns and, consequently, bigger inflows. Younger funds tend to have lower performance probably because, in taking more risks, they do not perform as expected. In addition, we find that the decreasing trend of the alpha evolution along the time is a sign of the industry decreasing returns of scale, which entails that managers have more difficulties to beat the market portfolio. Top 10s rankings show that funds appear more than once on the top 10s, which shows persistence of funds’ performance. Finally, concerning the deciles and quartiles rankings, the frequency of appearances changes among performance measures. There are measures which, when compared to others, strongly change the top and bottom for the decile and quartile members.
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No Brasil, o mercado de crédito corporativo ainda é sub-aproveitado. A maioria dos participantes não exploram e não operam no mercado secundário, especialmente no caso de debêntures. Apesar disso, há inúmeras ferramentas que poderiam ajudar os participantes do mercado a analisar o risco de crédito e encorajá-los a operar esses riscos no mercado secundário. Essa dissertação introduz um modelo livre de arbitragem que extrai a Perda Esperada Neutra ao Risco Implícita nos preços de mercado. É uma forma reduzida do modelo proposto por Duffie and Singleton (1999) e modela a estrutura a termo das taxas de juros através de uma Função Constante por Partes. Através do modelo, foi possível analisar a Curva de Perda Esperada Neutra ao Risco Implícita através dos diferentes instrumentos de emissores corporativos brasileiros, utilizando Títulos de Dívida, Swaps de Crédito e Debêntures. Foi possível comparar as diferentes curvas e decidir, em cada caso analisado, qual a melhor alternativa para se tomar o risco de crédito da empresa, via Títulos de Dívida, Debêntures ou Swaps de Crédito.
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O objeto deste trabalho é a compreensão do financiamento de empresas em crise, mais especificamente, o financiamento concedido após o pedido de recuperação judicial, como forma de permitir que a empresa saia da situação de crise e retorne à condição de normalidade. Para tanto, nos apropriando do termo cunhado pela doutrina norte-americana, para fazer referência ao aporte de recursos em empresas em dificuldade, utilizaremos o termo DIP financing ou financiamento DIP. Para uma compreensão adequada do objeto, é necessário que entendamos a origem do DIP financing nos Estados Unidos e como é a regulação norte-americana sobre a matéria atualmente. O segundo passo será avaliar a possibilidade de aplicação da mesma estrutura de aporte de recursos no Brasil. Ao estudarmos a origem desse mecanismo nos Estados Unidos, veremos os problemas que surgiram ao longo dos anos e como foram superados jurisprudencialmente e doutrinariamente para que o financiamento DIP se consolidasse como uma das formas de aporte de capital em empresas em crise, culminando no desenvolvimento de uma verdadeira indústria de crédito às empresas em dificuldade. Uma análise dos problemas enfrentados pelo sistema falimentar americano nos levará a hipótese de que, a menos que sejam afirmados mecanismos que assegurem a quem concede o financiamento após o pedido de recuperação judicial, uma super prioridade no recebimento após a recuperação judicial, será possível o desenvolvimento de um mercado de DIP financing no Brasil.
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The first contribution of this paper is to employ a superior interpolation method that enables to estimate, nowcast and forecast monthly Brazilian GDP for 1980-2012 in an integrated way; see Bernanke, Gertler and Watson (1997, Brookings Papers on Economic Activity). The second contribution, along the spirit of Mariano and Murasawa (2003, Journal of Applied Econometrics), is to propose and test a myriad of inter-polation models and interpolation auxiliary series all coincident with GDP from a business-cycle dating point of view. Based on these results, we finally choose the most appropriate monthly indicator for Brazilian GDP. Third, this monthly GDP estimate is compared to an economic activity indicator widely used by practitioners in Brazil - the Brazilian Economic Activity Index - (IBC-Br). We found that our monthly GDP tracks economic activity better than IBC-Br. This happens by construction, since our state-space approach imposes the restriction (discipline) that our monthly estimate must add up to the quarterly observed series in any given quarter, which may not hold regarding IBC-Br. Moreover, our method has the advantage to be easily implemented: it only requires conditioning on two observed series for estimation, while estimating IBC-Br requires the availability of hundreds of monthly series. The third contribution is to illustrate, in a nowcasting and forecasting exercise, the advantages of our integrated approach. Finally, we compare the chronology of recessions of our monthly estimate with those done elsewhere.
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Lançado por Marcos Cintra nos EUA, é mais uma contribuição ao debate envolvendo os impostos e a ideia do Imposto Único.
Regulatory reform in the brazilian railway sector and concession valuation: a preliminary assessment
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Trabalho apresentado na 4th Conference on the Regulation of Infrastructures
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Trabalho apresentado no Law and Society Annual Conference, 2015
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Escola de Direito do Rio de Janeiro da Fundação Getulio Vargas