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REITs brasileiros: Uma oportunidade de diversificação internacional

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  • López-Penabad, Maria Celia
  • López-Andión, Carmen
  • Iglesias-Casal, Ana
  • Maside-Sanfiz, José Manuel

Abstract

The benefits of international diversification have been modified by the continuous change in the correla­tions between markets. Real estate investment has a high potential as a diversifying asset in a portfolio. The aim of this paper is to analyze the diversification by investing in REITs and equities for an investor from Brazil. We build optimal portfolios out-of-sample using predictions of volatility, correlations and yields following the DCC and VAR-DCC methods for the BOVA11, Ifix and SPDR S&P500 indices, during the period from December 1, 2014 to October 30, 2015. Our results show that the VAR-DCC approach slightly improves the DCC and Plug-in approaches, and the Naïve strategy.

Suggested Citation

  • López-Penabad, Maria Celia & López-Andión, Carmen & Iglesias-Casal, Ana & Maside-Sanfiz, José Manuel, 2017. "REITs brasileiros: Uma oportunidade de diversificação internacional," RAE - Revista de Administração de Empresas, FGV-EAESP Escola de Administração de Empresas de São Paulo (Brazil), vol. 57(4), August.
  • Handle: RePEc:fgv:eaerae:v:57:y:2017:i:4:a:71355
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    1. Craig Israelsen, 2005. "A refinement to the Sharpe ratio and information ratio," Journal of Asset Management, Palgrave Macmillan, vol. 5(6), pages 423-427, April.
    2. Engle, Robert, 2002. "Dynamic Conditional Correlation: A Simple Class of Multivariate Generalized Autoregressive Conditional Heteroskedasticity Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(3), pages 339-350, July.
    3. Andrew J. Patton, 2006. "Modelling Asymmetric Exchange Rate Dependence," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 47(2), pages 527-556, May.
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