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Assessing the Risk and Return of Optimal Portfolios of U.S. Timberland and Farmland

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  • Weiyi Zhang
  • Bin Mei

Abstract

Executive Summary. Using synthetic returns for timberland in the U.S. South and NCREIF data for farm crops from 2000:Q1 to 2016:Q4, we build efficient frontiers under the mean-conditional value-at-risk (CVaR) framework. Recognizing the availability of the investable universe of natural resource assets at any given time, we incorporate constraints and evaluate their impacts in two hypothetical scenarios. The optimal tangency portfolios have risks of 0.16% and 0.55%, and returns of 1.42% and 1.38% on a quarterly basis. We use Monte Carlo simulation to estimate the VaR and CVaR of the optimal portfolios for a 10-year horizon and find that risk increases with investment size.

Suggested Citation

  • Weiyi Zhang & Bin Mei, 2019. "Assessing the Risk and Return of Optimal Portfolios of U.S. Timberland and Farmland," Journal of Real Estate Portfolio Management, Taylor & Francis Journals, vol. 25(1), pages 99-113, January.
    • Handle: RePEc:taf:repmxx:v:25:y:2019:i:1:p:99-113
    DOI: 10.1080/10835547.2019.12090026
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