Using irregularly spaced returns to estimate multi-factor modelsapplication to Brazilian equity data

Resumo

Multi-factor models constitute a useful tool to explain cross-sectional covariance in equities returns. We propose in this paper the use of irregularly spaced returns in the multi-factor model estimation and provide an empirical example with the 389 most liquid equities in the Brazilian Market. The market index shows itself significant to explain equity returns while the US$/Brazilian Real exchange rate and the Brazilian standard interest rate does not. This example shows the usefulness of the estimation method in further using the model to fill in missing values and to provide interval forecasts.

Ficha do documento

Tipo

Estudo

Ano

2003

Instituição

Escola de Pós-Graduação em Economia da FGV

Fonte

Repositório da FGV

Idioma

Inglês

Acesso

Não informado

Identificador

oai:repositorio.fgv.br:10438/676

Temas

Economia

Palavras-chave

Multi-factor modelMissing dataIrregularly spaced returnsEconomiaModelos econométricosDerivativos (Finanças)