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Diversification effect of real estate investment trusts: Comparing copula functions with kernel methods

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  • Meng-Shiuh Chang
  • Victoria Salin
  • Yanhong Jin

Abstract

Value at Risk estimated with joint distribution methodologies demonstrates that risk is lower for portfolios of real estate investment trusts (REITs) and small-business equities compared with a single-asset holding. Benefits from diversification were largest in 2001--2003 and the smallest from 2006--2008. Previous research using Value at Risk points out the importance of model selection. Various estimation approaches affected results modestly over the entire period (1989--mid 2008). The Value at Risk is -3.1% for two copula models and -3.2% for a nonparametric empirical joint density, at a 1% probability level for weekly returns. After June 1996, the nonparametric copula model consistently returned the lowest risk estimate among the three joint distribution methods. Time-varying risk is a more important driver in the results than model specification. The highest portfolio risk was found for the period after August 2006 (weekly losses of 4.4% to 5%). The distribution-based model results were closer to the undiversified model results than in the earlier time periods, which supports the premise that contagion across asset classes characterises the post-2006 real estate bust, but is not a strong characteristic of the market over a longer investment horizon that includes growth phases of the business cycle.

Suggested Citation

  • Meng-Shiuh Chang & Victoria Salin & Yanhong Jin, 2011. "Diversification effect of real estate investment trusts: Comparing copula functions with kernel methods," Journal of Property Research, Taylor & Francis Journals, vol. 28(3), pages 189-212, January.
  • Handle: RePEc:taf:jpropr:v:28:y:2011:i:3:p:189-212
    DOI: 10.1080/09599916.2011.577904
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    References listed on IDEAS

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    1. Qi Li & Jeffrey Scott Racine, 2006. "Density Estimation, from Nonparametric Econometrics: Theory and Practice," Introductory Chapters, in: Nonparametric Econometrics: Theory and Practice, Princeton University Press.
    2. Qi Li & Jeffrey Scott Racine, 2006. "Nonparametric Econometrics: Theory and Practice," Economics Books, Princeton University Press, edition 1, volume 1, number 8355.
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