Modelling and forecasting the volatility of brazilian asset returnsa realized variance approach

Resumo

The goal of this paper is twofold. First, using five of the most actively traded stocks in the Brazilian financial market, this paper shows that the normality assumption commonly used in the risk management area to describe the distributions of returns standardized by volatilities is not compatible with volatilities estimated by EWMA or GARCH models. In sharp contrast, when the information contained in high frequency data is used to construct the realized volatilies measures, we attain the normality of the standardized returns, giving promise of improvements in Value at Risk statistics. We also describe the distributions of volatilities of the Brazilian stocks, showing that the distributions of volatilities are nearly lognormal. Second, we estimate a simple linear model to the log of realized volatilities that differs from the ones in other studies. The main difference is that we do not find evidence of long memory. The estimated model is compared with commonly used alternatives in an out-of-sample experiment.

Ficha do documento

Tipo

Estudo

Ano

2004

Instituição

Escola de Pós-Graduação em Economia da FGV

Fonte

Repositório da FGV

Idioma

Português

Acesso

Não informado

Identificador

oai:repositorio.fgv.br:10438/12567

Temas

Economia

Palavras-chave

High frequency dataRisk analysisVolatility forecastingGARCH modelsRealized volatilityEconomiaMercado financeiroRisco (Economia)