50 resultados para 1995_01270355 TM-56 4302606


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A relação entre captação e desempenho é muito estudada na literatura brasileira de fundos. Os artigos sobre o tema atestam que os investidores tomam suas decisões de investimentos baseados no desempenho recente dos fundos, aplicando mais em fundos com bom desempenho recente do que em fundos que rendem abaixo da média de mercado. Esse trabalho dedica-se a, mais do que investigar a relação entre captação e desempenho de fundos de investimentos no Brasil, aprofundar o estudo no tocante ao prazo de retorno mais considerado pelos investidores ao escolherem em qual fundo investir. O resultado alcançado através de nossas regressões em painel com efeito fixo de tempo é de que os prazos com maior representatividade na escolha do investidor são as janelas de um até seis meses e de seis meses até um ano de histórico. Prazos maiores têm a mesma relação positiva, mas caem consideravelmente.

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The dissertation goal is to quantify the tail risk premium embedded into hedge funds' returns. Tail risk is the probability of extreme large losses. Although it is a rare event, asset pricing theory suggests that investors demand compensation for holding assets sensitive to extreme market downturns. By de nition, such events have a small likelihood to be represented in the sample, what poses a challenge to estimate the e ects of tail risk by means of traditional approaches such as VaR. The results show that it is not su cient to account for the tail risk stemming from equities markets. Active portfolio management employed by hedge funds demand a speci c measure to estimate and control tail risk. Our proposed factor lls that void inasmuch it presents explanatory power both over the time series as well as the cross-section of funds' returns.

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O levantamento da FGV, coordenado por Marco Aurélio Ruediger, foi feito a pedido do governo. Seu resultado será debatido na terça-feira em Brasília, com parte das discussões do seminário "Imigração como Vetor de Desenvolvimento do Brasil".

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This thesis contains three chapters. The first chapter uses a general equilibrium framework to simulate and compare the long run effects of the Patient Protection and Affordable Care Act (PPACA) and of health care costs reduction policies on macroeconomic variables, government budget, and welfare of individuals. We found that all policies were able to reduce uninsured population, with the PPACA being more effective than cost reductions. The PPACA increased public deficit mainly due to the Medicaid expansion, forcing tax hikes. On the other hand, cost reductions alleviated the fiscal burden of public insurance, reducing public deficit and taxes. Regarding welfare effects, the PPACA as a whole and cost reductions are welfare improving. High welfare gains would be achieved if the U.S. medical costs followed the same trend of OECD countries. Besides, feasible cost reductions are more welfare improving than most of the PPACA components, proving to be a good alternative. The second chapter documents that life cycle general equilibrium models with heterogeneous agents have a very hard time reproducing the American wealth distribution. A common assumption made in this literature is that all young adults enter the economy with no initial assets. In this chapter, we relax this assumption – not supported by the data – and evaluate the ability of an otherwise standard life cycle model to account for the U.S. wealth inequality. The new feature of the model is that agents enter the economy with assets drawn from an initial distribution of assets. We found that heterogeneity with respect to initial wealth is key for this class of models to replicate the data. According to our results, American inequality can be explained almost entirely by the fact that some individuals are lucky enough to be born into wealth, while others are born with few or no assets. The third chapter documents that a common assumption adopted in life cycle general equilibrium models is that the population is stable at steady state, that is, its relative age distribution becomes constant over time. An open question is whether the demographic assumptions commonly adopted in these models in fact imply that the population becomes stable. In this chapter we prove the existence of a stable population in a demographic environment where both the age-specific mortality rates and the population growth rate are constant over time, the setup commonly adopted in life cycle general equilibrium models. Hence, the stability of the population do not need to be taken as assumption in these models.