Publicação

Brazilian equity risk premium analysis: a macroeconomic approach

Ver documento

Detalhes bibliográficos
Resumo:This research studies the role of fluctuations in the aggregate consumption-wealth ratio proposed by Lettau and Ludvigson (2001) as a predictor of stock returns in the Brazilian economy. Using quarterly data, evidence for predictability of asset growth was found with an ̅2 of over 45% and a highly significant coefficient as expected, in contrast to absence of statistical evidence for predictability of stock returns or excess returns. Regressions containing those fluctuations also resulted in worse ̅2. For the data used, dividend yield was not capable of showing predictive power also. The predictability of the returns on the Brazilian economy is not rejected but data fails to show the expected results. Finding macroeconomic data that represent the same agent was a big obstacle. After testing many different datasets and different model specifications, data still failed to show any explanatory power over returns or excess returns.
Autores principais:Abe, Bruno Jordan Orfei
Assunto:Excess returns Expected returns Consumption Wealth Cointegration
Ano:2015
País:Portugal
Tipo de documento:dissertação de mestrado
Tipo de acesso:acesso aberto
Instituição associada:Universidade Nova de Lisboa
Idioma:inglês
Origem:Repositório Institucional da UNL
Descrição
Resumo:This research studies the role of fluctuations in the aggregate consumption-wealth ratio proposed by Lettau and Ludvigson (2001) as a predictor of stock returns in the Brazilian economy. Using quarterly data, evidence for predictability of asset growth was found with an ̅2 of over 45% and a highly significant coefficient as expected, in contrast to absence of statistical evidence for predictability of stock returns or excess returns. Regressions containing those fluctuations also resulted in worse ̅2. For the data used, dividend yield was not capable of showing predictive power also. The predictability of the returns on the Brazilian economy is not rejected but data fails to show the expected results. Finding macroeconomic data that represent the same agent was a big obstacle. After testing many different datasets and different model specifications, data still failed to show any explanatory power over returns or excess returns.