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Previous issue date: 2016-12-21 / The objective of this paper is to analyze the different portfolios formed by Markowitz's (1952) mean-variance model and a naive strategy (1/N) composed of ETFs that can surpass the Bovespa Index. We used 13 ETFs listed on the S??o Paulo Stock Exchange from 01/01/2012 to 04/11/2016 to perform four portfolio optimization and weighting strategies: 1) Model with short sale and leverage restrictions; 2) Portfolios with a maximum position of 30% in each asset; 3) Wallets with a leveraged position, where it is allowed to be sold up to -30% and bought up to 130% in each asset (strategy 130/30); 4) Portfolios where each asset may be short-listed up to a limit of -5%, provided that the maximum percentage sold in the portfolio does not exceed -45%. For each of these strategies, balances were determined in temporal windows of 1, 3, 6 and 12 months. In all analyzes, there was no significant difference in terms of return, although naive portfolios (1/N) had marginally higher numbers. Optimized portfolios composed of ETFs in the different strategies presented a significantly lower risk than the naive portfolio of ETFs and the market index. There was no predominance in terms of risk and return in the comparison between naive portfolios composed of ETFs and naive portfolios composed of randomly chosen Stock Investment Funds (FIAs). ETFs feature ease of trading, transparency and economy, and can become an alternative in the composition of the investor's asset portfolio. / O presente artigo tem como objetivo analisar diferentes carteiras formadas pelo modelo de m??dia-vari??ncia de Markowitz (1952) e uma estrat??gia ing??nua (1/N) compostas por ETFs que possam superar o ??ndice Bovespa. Foram utilizados 13 ETFs listados na Bolsa de Valores de S??o Paulo no per??odo de 01/01/2012 at?? 04/11/2016 para realizar quatro estrat??gias de otimiza????o e pondera????o de carteiras: 1) Modelo com restri????es de venda a descoberto e alavancagem; 2) Carteiras com posi????o m??xima de 30% em cada ativo; 3) Carteiras com posi????o alavancada, onde ?? permitido ficar vendido em at?? -30% e comprado em at?? 130% em cada ativo (estrat??gia 130/30); 4) Carteiras onde cada ativo pode ser vendido a descoberto at?? o limite de -5%, desde que o percentual m??ximo vendido da carteira n??o ultrapasse -45%. Para cada uma destas estrat??gias, foram determinados balanceamentos em janelas temporais de 1, 3, 6 e 12 meses. Em todas as an??lises efetuadas, n??o houve diferen??a significativa em termos de retorno, ainda que as carteiras ing??nuas (1/N) tivessem n??meros marginalmente superiores. As carteiras otimizadas compostas por ETFs nas diferentes estrat??gias apresentaram risco significativamente inferior ??s carteiras ing??nuas de ETFs e ao ??ndice de mercado. N??o houve predomin??ncia em termos de risco e retorno na compara????o entre carteiras ing??nuas compostas por ETFs e carteiras ing??nuas compostas por Fundos de Investimento em A????es (FIAs) escolhidas aleatoriamente. Os ETFs apresentam facilidade de negocia????o, transpar??ncia e economia, podendo se tornar uma alternativa na composi????o da carteira de ativos dos investidores.
| Identifer | oai:union.ndltd.org:IBICT/oai:132.0.0.61:jspui/734 |
| Date | 21 December 2016 |
| Creators | Souza, Rafael P??varo de |
| Contributors | Contani, Eduardo Augusto do Ros??rio, Bergamann, Daniel Reed, Sampaio, Joelson Oliveira |
| Publisher | FECAP, Mestrado em Administra????o, FECAP, Brasil, Funda????o Escola de Com??rcio ??lvares Penteado |
| Source Sets | IBICT Brazilian ETDs |
| Language | Portuguese |
| Detected Language | English |
| Type | info:eu-repo/semantics/publishedVersion, info:eu-repo/semantics/masterThesis |
| Format | application/pdf |
| Source | reponame:Biblioteca Digital de Teses e Dissertações do FECAP, instname:Fundação Aramando Álvares Penteado, instacron:FAAP |
| Rights | http://creativecommons.org/licenses/by-nc-nd/4.0/, info:eu-repo/semantics/openAccess |
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