We propose a model to forecast very large realized covariance matrices of returns, applying it to the constituents of the S&P 500 on a daily basis. To address the curse of dimensionality, we decompose the return covariance matrix using standard firm-level factors (e.g., size, value and...

Portuguese Abstract: O objetivo deste estudo é analisar a composição da renda pessoal entre os 10% mais ricos do Brasil e sua evolução no período 2006 a 2012, a partir de tabulações de dados da Declaração de Imposto de Renda da Pessoa Física (DIRPF). Os dados originais foram...

Factor and sparse models are two widely used methods to impose a low-dimensional structure in high-dimension. They are seemingly mutually exclusive. In this paper, we propose a simple lifting method that combines the merits of these two models in a supervised learning methodology that allows to...

The measurement of treatment (intervention) effects on a single (or just a few) treated unit(s) based on counterfactuals constructed from artificial controls has become a popular practice in applied statistics and economics since the proposal of the synthetic control method. In high-dimensional...

In this paper we introduce a linear programming estimator (LPE) for the slope parameter in a constrained linear regression model with a single regressor. The LPE is interesting because it can be superconsistent in the presence of an endogenous regressor and, hence, preferable to the ordinary...

In this paper we consider a nonlinear model based on neural networks as well as linear models to forecast the daily volatility of the S&P 500 and FTSE 100 indexes. As a proxy for daily volatility, we consider a consistent and unbiased estimator of the integrated volatility that is computed from...

Several methods have recently been proposed in the ultra high frequency financial literature to remove the effects of microstructure noise and to obtain consistent estimates of the integrated volatility (IV) as a measure of ex-post daily volatility. Even bias-corrected and consistent (modified)...

A wide variety of conditional and stochastic variance models has been used to estimate latent volatility (or risk). In both the conditional and stochastic volatility literature, there has been some confusion between the definitions of asymmetry and leverage. In this paper, we first show the...

Portuguese Abstract: Avaliamos em que medida a educação pode ser considerada um dos principais determinantes da riqueza no Brasil. Nosso foco é nos trabalhadores no 1% mais rico da distribuição da renda do trabalho. Fazemos isso utilizando os dados de formação universitária específica...

We review the literature on the rich, the affluent and the top incomes earners focusing on the determinants of affluence or richness. The review surveys empirical results about the composition of the income and wealth of the rich and its direct determinants, such as individual characteristics,...