874 resultados para GDP Interpolation
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This paper proposes a new novel to calculate tail risks incorporating risk-neutral information without dependence on options data. Proceeding via a non parametric approach we derive a stochastic discount factor that correctly price a chosen panel of stocks returns. With the assumption that states probabilities are homogeneous we back out the risk neutral distribution and calculate five primitive tail risk measures, all extracted from this risk neutral probability. The final measure is than set as the first principal component of the preliminary measures. Using six Fama-French size and book to market portfolios to calculate our tail risk, we find that it has significant predictive power when forecasting market returns one month ahead, aggregate U.S. consumption and GDP one quarter ahead and also macroeconomic activity indexes. Conditional Fama-Macbeth two-pass cross-sectional regressions reveal that our factor present a positive risk premium when controlling for traditional factors.
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O objetivo deste trabalho é avaliar o impacto do Programa de Modernização da Administração Tributária e da Gestão dos Setores Sociais Básicos (PMAT), gerido pelo Banco Nacional de Desenvolvimento Econômico e Social (BNDES), na arrecadação tributária dos Municípios, no período de 1999 a 2011. Para tanto, utilizamos um modelo econométrico de dados em painel com estimador de efeitos fixos. As variáveis dependentes são os logs da arrecadação de ISSQN e IPTU, as variáveis explicativas são os desembolsos do BNDES e o PIB municipal desagregado. Realizamos regressões com dummies de tratamento e com o log dos desembolsos. Além realizar regressões com toda a amostra disponível, delimitamos a amostra do grupo de controle em dois subgrupos para tentar eliminar efeitos de tendências entre entidades. A primeira delimitação foi utilizar a amostra que realizou consultas ao banco de fomento e não obteve sucesso. A segunda delimitação foi a de municípios que possuem proximidade geográfica daqueles comtemplados pelo financiamento. Os resultados encontrados demonstram não haver significância estatística entre desembolsos realizados pelo BNDES e a trajetória da arrecadação dos tributos em análise na maior parte dos modelos utilizados. Apenas nas regressões com dados da amostra que realizou consulta ao BNDES, obteve-se significância estatística, ao nível de 5% para o tributo IPTU, no efeito acumulado ao longo do tempo.
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Using the theoretical framework of Lettau and Ludvigson (2001), we perform an empirical investigation on how widespread is the predictability of cay {a modi ed consumption-wealth ratio { once we consider a set of important countries from a global perspective. We chose to work with the set of G7 countries, which represent more than 64% of net global wealth and 46% of global GDP at market exchange rates. We evaluate the forecasting performance of cay using a panel-data approach, since applying cointegration and other time-series techniques is now standard practice in the panel-data literature. Hence, we generalize Lettau and Ludvigson's tests for a panel of important countries. We employ macroeconomic and nancial quarterly data for the group of G7 countries, forming an unbalanced panel. For most countries, data is available from the early 1990s until 2014Q1, but for the U.S. economy it is available from 1981Q1 through 2014Q1. Results of an exhaustive empirical investigation are overwhelmingly in favor of the predictive power of cay in forecasting future stock returns and excess returns.
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Com a evolução dos mercados e a possibilidade de acesso a informações em tempo real, as empresas se encontram bastante expostas a variações em sua liquidez. Surge então uma necessidade de se estudar o que afeta sua operação e de que forma são afetadas por choques na economia. Este trabalho tem como objetivo investigar como variações de indicadores macroeconômicos, como por exemplo, mudanças na taxa de câmbio, no PIB, na inflação e na taxa de juros impactam no nível de liquidez corrente das empresas. Foram selecionados dados de empresas brasileiras ativas para o período de 2003 até 2011 (dados trimestrais), com ações negociadas na BM&FBovespa e não pertencentes ao setor financeiro e de seguros. Os resultados sugerem que o nível de liquidez das empresas é afetado por algumas variações de indicadores macroeconômicos. Verificou-se que variáveis como PIB, IBOVESPA e taxa de juros se relacionam positivamente com o índice de liquidez corrente. Já as variáveis câmbio e inflação se relacionam negativamente.
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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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Este trabalho tem como objetivo estudar o setor aeroportuário e o mercado de concessões brasileiro e criar um modelo para precificação de um projeto de concessão do aeroporto de Guarulhos. Para isso, foram utilizados dados reais obtidos através dos resultados da concessionária e também dados divulgados publicamente, como inflação e crescimento do PIB, além de projeções baseadas em premissas estabelecidas. Foram considerados diferentes cenários com o objetivo de comparar os resultados, que indicaram uma sensibilidade significativa do modelo às variações de demanda de passageiros e também à flexibilização do cronograma de investimentos.
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The acronym BRICS was a fad among the media and global investors. Now, the acronym sounds passé. However, the group of countries remains important, from both political and economic reasons. They have a large aggregate size, 28% of the global GDP and 42% of the world’s population, high growth potential due to the current significant misallocation of resources and relatively low stock of human capital, structural transformation is in progress and one of them, China, is taking steps to become a global power and a challenger to the US dominance. This paper provides a brief overview of the five economies, Brazil, Russia, India, China and South Africa. We focus on some aspects of their history, the Chinese initiatives in international finance and geopolitical strategic moves, their growth experience and structural transformation over the last 35 years, trade and investment integration into the global economy and among themselves, the growth challenges faced by their economies and the potential gains to the Brazilian economy from a stronger integration with the other BRICS. In association with its efforts to be a global power, China aims to become a major player in global finance and to achieve the status of global currency for the renminbi, which would be the first currency of an emerging economy to attain such position. Despite the similarities, the BRICS encompass very diverse economies. In the recent decades, China and India showed stellar growth rates. On the other hand, Brazil, Russia and South Africa have expanded just in line with global output growth with the Russian economy exhibiting high volatility. China is by far the largest economy, and South Africa the smallest, the only BRICS economy with a GDP lower than US$ 1 trillion. Russia abandoned communism almost 25 years ago, but reversed many of the privatizations of 90’s. China is still ruled by communism, but has a vibrant private sector and recently has officially declared market forces to play a dominant role in its economy. Brazil, Russia and South Africa are global natural resources powerhouses and commodity exporters while China and India are large commodity importers. Brazil is relatively closed to international trade of goods and services, in marked contrast to the other four economies. Brazil, India and South Africa are dependent on external capital flows whereas China and Russia are capital exporters. India and South Africa have younger populations and a large portion living below the poverty line. Despite its extraordinary growth experience that lifted many millions from poverty, China still has 28% of its population classified as poor. Russia and China have much older populations and one of their challenges is to deal with the effects of a declining labor force in the near future. India, China and South Africa face a long way to urbanization, while Brazil and Russia are already urbanized countries. China is an industrial economy but its primary sector still absorbs a large pool of workers. India is not, but the primary sector employs also a large share of the labor force. China’s aggregate demand structure is biased towards investment that has been driving its expansion. Brazil and South Africa have an aggregate demand structure similar to the developed economies, with private consumption accounting for approximately 70%. The same similarity applies to the supply side, as in both economies the share of services nears 70%. The development problem is a productivity problem, so microeconomic reforms are badly needed to foster long-term growth of the BRICS economies since they have lost steam due a variety of factors, but fundamentally due to slower total factor productivity growth. China and India are implementing ambitious reform programs, while Brazil is dealing with macroeconomic disequilibria. Russia and South Africa remain mute about structural reforms. There are some potential benefits to Brazil to be extracted from a greater economic integration with the BRICS, particularly in natural resources intensive industries and services. Necessary conditions to the materialization of those gains are the removal of the several sources of resource misallocation and strong investment in human capital.
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A modelagem da estrutura a termo da taxa juros tem grande relevância para o mercado financeiro, isso se deve ao fato de ser utilizada na precificação de títulos de crédito e derivativos, ser componente fundamental nas políticas econômicas e auxiliar a criação de estratégias trading. A classe de modelos criada por Nelson-Siegel (1987), foi estendida por diversos autores e atualmente é largamente utilizada por diversos bancos centrais ao redor do mundo. Nesse trabalho utilizaremos a extensão proposta por Diebold e Li (2006) aplicada para o mercado brasileiro, os parâmetros serão calibrados através do Filtro de Kalman e do Filtro de Kalman Estendido, sendo que o último método permitirá estimar com dinamismo os quatros parâmetros do modelo. Como mencionado por Durbin e Koopman (2012), as fórmulas envolvidas no filtro de Kalman e em sua versão estendida não impõe condições de dimensão constante do vetor de observações. Partindo desse conceito, a implementação dos filtros foi feita de forma a possibilitar sua aplicação independentemente do número de observações da curva de juros em cada instante de tempo, dispensando a necessidade de interpolar os dados antes da calibração. Isso ajuda a refletir mais fielmente a realidade do mercado e relaxar as hipóteses assumidas ao interpolar previamente para obter vértices fixos. Também será testada uma nova proposta de adaptação do modelo de Nelson-Siegel, nela o parâmetro de nível será condicionado aos títulos terem vencimento antes ou depois da próxima reunião do Copom. O objetivo é comparar qualidade da predição entre os métodos, pontuando quais são as vantagens e desvantagens encontradas em cada um deles.
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Government transfers to individuals and families play a central role in the Brazilian social protection system, accounting for almost 14 per cent of GDP in 2009. While their fiscal and redistributive impacts have been widely studied, the macroeconomic effects of transfers are harder to ascertain. We constructed a Social Accounting Matrix (SAM) for 2009 and estimated short-term multipliers for seven different government monetary transfers . The SAM is a double-entry square matrix depicting all income flows in the economy. The data were compiled from the 2009 Brazilian National Accounts and the 2008/2009 POF, a household budget survey. Our SAM was disaggregated into 56 sectors, 110 commodities, 200 household groups and seven factors of production (capital plus six types of labor, according to schooling). Finally, we ran a set of regressions to separate household consumption into ‘autonomous’ (or ‘exogenous’) and ‘endogenous’ components. More specifically, we are interested in the effects of an exogenous injection into each of the seven government transfers outlined above. All the other accounts are thus endogenous. The so-called demand ‘leaks’ are income flows from the endogenous to exogenous accounts. Leaks—such as savings, taxes and imports—are crucial to determine the multiplier effect of an exogenous injection, as they allow the system to go back to equilibrium. The model assumes that supply is perfectly elastic to demand shocks. It assumes that the families’ propensity to save and consumption profile are fixed—that is, rising incomes do not provoke changes in behaviour. The multiplier effects of the on GDP corresponds to the growth in GDP resulting from each additional dollar injected into each transfer seven government transfers. If the government increased Bolsa Família expenditures by 1 per cent of GDP, overall economic activity would grow by 1.78 per cent, the highest effect. The Continuous Cash Benefit, comes second. Only three transfers— the private-sector and public servants’ pensions and FGTS withdrawals—had multipliers lower than unity. The multipliers for other relevant macroeconomic aggregates—household and total consumption, disposable income etc. —reveal a similar pattern. Thus, under the stringent assumptions of our model, we cannot reject the hypothesis that government transfers targeting poor households, such as the Bolsa Família, help foster economic expansion. Naturally, it should be stressed that the multipliers relate marginal injections into government transfers to short-term economic performance either real growth, or inflation if there is no idle capacity which is also useful to analyze. In the long term, there is no doubt that what truly matters is the growth of the country’s productive capacity.
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The main goal of this article is to identify the dynamic effects of fiscal policy on output in Brazil from 1997 to 2014, and, more specifically, to estimate those effects when the output falls below its potential level. To do so, we estimate VAR (vector autoregressive) models to generate impulse-response functions and causality/endogeneity tests. Our most remarkable results indicate the following channel of economic policy in Brazil: to foster output, government spending increases causing increases in both tax rates and revenue and the short-term interest rate. A fiscal stimulus via spending seems efficient for economic performance as well as monetary policy; however, the latter operates pro-cyclically in the way we defined here, while the former is predominantly countercyclical. As the monetary shock had a negative effect on GDP growth and GDP growth responded positively to the fiscal shock, it seems that the economic policy has given poise to growth with one hand and taken it with the other one. The monetary policy is only reacting to the fiscal stimuli. We were not able to find any statistically significant response of the output to tax changes, but vice versa seems work in the Brazilian case.
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A partir da disseminação do conhecimento sobre voto econômico no meio político, o incremento da renda real criado pelo Bolsa Família pode criar incentivos para que os governantes aumentem o valor dos repasses ou ampliem a base de famílias cadastradas com intuito de aumentar suas chances de reeleição. A hipótese testada nesse trabalho foi de que o governo influencia os gastos do Programa Bolsa Família e os aumentam anormalmente em períodos pré-eleitorais. Para testar essa hipótese, foram usadas as séries temporais de gastos mensais com o programa e de número de famílias beneficiárias desde janeiro de 2004 até dezembro de 2014. Para isso foram utilizados modelos estatísticos para identificar se estes gastos aumentam anormalmente em períodos que antecedem eleições, controlados por outros fatores que podem influenciar os gastos do programa, tais como PIB Nacional, Receitas e Despesas do Tesouro Nacional, Inflação e Desemprego. Os resultados sugerem a ocorrência de ciclos eleitorais nas eleições presidenciais, nos quais há uma aceleração no número de famílias inscritas no Bolsa Família nos três meses anteriores à campanha com a consequente aceleração dos gastos do programa no mesmo período, porém não há redução no número de famílias inscritas após as eleições e, por fim, que não existem efeitos no período das eleições locais.
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Fuel is a self-depleting resource and long term dependency on this commodity alone will not suffice. An export trade oriented approach can lead to faster industrialization while diversification leads to economic sustainable growth. This research seeks to understand how countries compete for foreign direct investments, and how certain activities have the most impact in the competitive global marketplace. Research suggests that when companies decide to invest abroad, they seek only to find countries that facilitate their strategic objectives. The results conclude with appropriate levels of government accountability, credibility and visibility with the private sector, foreign direct investment is attracted by policy advocacy and policy reform. By reviewing countries such as United Arab Emirates in direct comparison to Western Asian countries, including Kuwait and Iraq with high levels of fuel exports, along with Qatar with optimistic marketplace indicators and plentitude of skills and capabilities – research seems to suggest that despite high capabilities and attractive GDP, promotional investment activities yield the highest returns using policy advocacy and reform.
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Esse trabalho busca analisar empiricamente a persistência inflacionária de um grupo de dez países da América do Sul e verificar se a persistência ficou estável durante o período analisado e se persistência inflacionária é mais alta em países que apresentaram alta inflação no seu passado recente. Os dados são trimestrais, tendo início no primeiro trimestre de 2000, e contém 60 observações. Os resultados do trabalho foram obtidos por meio da estimação dos seguintes modelos: modelo com defasagens de inflação com e sem o hiato do PIB; curva de Phillips Novo-Keynesiana com taxa de câmbio; e a forma reduzida do modelo estrutural de Blanchard e Gali (2005), que incorpora a rigidez de salários. Os resultados mostraram que a persistência inflacionária ficou estável durante o período analisado e que seu nível ficou abaixo de 1, na média, no grupo de países que apresentaram alta inflação no passado recente e no grupo de países que não apresentaram. Além disso, os resultados mostraram que, na amostra selecionada, a persistência inflacionária é mais alta nos países que apresentaram alta inflação no seu passado recente. Também foi verificado que, com 5% de significância, não é possível afirmar que a persistência inflacionária de todos os países que apresentaram alta inflação no passado recente seja diferente das economias que não apresentaram.
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Foreign Direct Investments (FDI) acquired an important role in the development process of the global economy. FDI inward stock was equivalent to an average of 32% of GDP for OECD countries in 2013. However, FDI affects a country’s Balance of Payments (BoP) in two ways: FDI flows are recorded in the BoP financial account while returns on FDI affect the BoP current account. Therefore, part of the positive contribution of inward FDI to a country on its financial account could be potentially offset by a negative contribution of FDI returns on the current account. The intent of this work is to complement the research on FDI determinants by introducing FDI returns as a variable in a gravity model where bilateral FDI outflows are the dependent variable. Moreover, using outward FDI flows as the dependent variable, the work allows looking at the behavior of Multinational Corporations (MNC) investing abroad. The results show that MNCs repatriate returns generating from the investments they make abroad. This is particularly true when high-income countries are involved: MNCs from high-income countries repatriate returns to their home countries from FDI made anywhere, while MNCs from middle-income countries repatriate returns from FDI in high-income countries. Repatriated returns are a relevant variable determining the value of FDI that a country makes in another country. The information on FDI returns is starting to become available to the public. This allows MNCs to sharpen their investment location decision models and national IPAs to better assess the two-fold BoP effects of promoting FDI.
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This Master Thesis consists of one theoretical article and one empirical article on the field of Microeconometrics. The first chapter\footnote{We also thank useful suggestions by Marinho Bertanha, Gabriel Cepaluni, Brigham Frandsen, Dalia Ghanem, Ricardo Masini, Marcela Mello, Áureo de Paula, Cristine Pinto, Edson Severnini and seminar participants at São Paulo School of Economics, the California Econometrics Conference 2015 and the 37\textsuperscript{th} Brazilian Meeting of Econometrics.}, called \emph{Synthetic Control Estimator: A Generalized Inference Procedure and Confidence Sets}, contributes to the literature about inference techniques of the Synthetic Control Method. This methodology was proposed to answer questions involving counterfactuals when only one treated unit and a few control units are observed. Although this method was applied in many empirical works, the formal theory behind its inference procedure is still an open question. In order to fulfill this lacuna, we make clear the sufficient hypotheses that guarantee the adequacy of Fisher's Exact Hypothesis Testing Procedure for panel data, allowing us to test any \emph{sharp null hypothesis} and, consequently, to propose a new way to estimate Confidence Sets for the Synthetic Control Estimator by inverting a test statistic, the first confidence set when we have access only to finite sample, aggregate level data whose cross-sectional dimension may be larger than its time dimension. Moreover, we analyze the size and the power of the proposed test with a Monte Carlo experiment and find that test statistics that use the synthetic control method outperforms test statistics commonly used in the evaluation literature. We also extend our framework for the cases when we observe more than one outcome of interest (simultaneous hypothesis testing) or more than one treated unit (pooled intervention effect) and when heteroskedasticity is present. The second chapter, called \emph{Free Economic Area of Manaus: An Impact Evaluation using the Synthetic Control Method}, is an empirical article. We apply the synthetic control method for Brazilian city-level data during the 20\textsuperscript{th} Century in order to evaluate the economic impact of the Free Economic Area of Manaus (FEAM). We find that this enterprise zone had positive significant effects on Real GDP per capita and Services Total Production per capita, but it also had negative significant effects on Agriculture Total Production per capita. Our results suggest that this subsidy policy achieve its goal of promoting regional economic growth, even though it may have provoked mis-allocation of resources among economic sectors.