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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
1

[en] THE SIZE EFFECT ON FIRMS RETURNS IN THE BRAZILIAN MARKET AND HOW THE CONTROL FOR OTHER FACTORS MAY INFLUENCE RESULTS / [pt] O EFEITO TAMANHO NOS RETORNOS DAS FIRMAS NO MERCADO BRASILEIRO E COMO O CONTROLE PARA OUTROS FATORES PODE INFLUENCIAR NOS RESULTADOS

VINICIUS FADINI B DE M FERREIRA 05 March 2018 (has links)
[pt] Esta dissertação busca replicar, para o mercado brasileiro, a abordagem e as metodologias utilizadas por Asness, Frazzini e Perdersen (2015) na tentativa de verificar a existência de prêmio positivo entre os retornos de firmas pequenas e firmas grandes no mercado norte-americano. Adicionalmente, procura mensurar como o fator Qualidade entre outros, poderiam influenciar no resultado desse prêmio, otimizando-o ou não de acordo com o controle para tais variáveis. O trabalho se pauta no modelo clássico de precificação de Fama e French, tanto para definir o fator que representará o prêmio por tamanho como para a criação de diversos portfólios que resultam nos outros fatores a serem considerados nas regressões de cada estudo. / [en] This paper seeks to replicate, for the Brazilian market, the approach and methodologies used by Asness, Frazzini and Perdersen (2015) in an attempt to verify the existence of a positive premium among the returns of small firms and large firms in the North American market. In addition, it seeks to measure how the Quality factor, among others, could influence the results of this premium, optimizing it or not according to the control for such variables. The paper is based on the classic Fama and French pricing model, both to define the factor that will represent the size premium and creation of several portfolios that result in the other factors to be considered in the regressions of each study.

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