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On the market risk of securitized timberlands

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  • Sun, Changyou

Abstract

Over 10 million acres of timberlands in the United States have been securitized through Real Estate Investment Trusts (REITs) in recent years. Publicly traded timber REITs have better liquidity and tax efficiency than private ownership, but at the same time, they are exposed to higher market risk as public firms. In this study, copula modeling is employed to assess the joint distribution between daily returns of five timber REITs and a stock market index. Both constant and time-varying symmetrized Joe-Clayton copulas are estimated to evaluate the dependence of timber REITs on the equity market from 1994 to 2010. In most cases, there exist lower tail dependence for market stresses, upper tail dependence for market booms, and tail asymmetry between individual firms and the market. On average, the dependence measure becomes larger after a firm is converted into a REIT. Each firm has smaller volatility of tail dependence after the conversion, except for Plum Creek. These findings reveal that the REIT structure has introduced non-diversifiable market risk into its ownership, and thus the diversification benefit of publicly traded timber REITs in a portfolio may be limited.

Suggested Citation

  • Sun, Changyou, 2013. "On the market risk of securitized timberlands," Journal of Forest Economics, Elsevier, vol. 19(2), pages 110-127.
    • Handle: RePEc:eee:foreco:v:19:y:2013:i:2:p:110-127
    DOI: 10.1016/j.jfe.2012.11.002
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    Citations

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    Cited by:

    1. Piao, Xiaorui & Mei, Bin & Xue, Yuan, 2016. "Comparing the financial performance of timber REITs and other REITs," Forest Policy and Economics, Elsevier, vol. 72(C), pages 115-121.
    2. La, Le & Mei, Bin, 2015. "Portfolio diversification through timber real estate investment trusts: A cointegration analysis," Forest Policy and Economics, Elsevier, vol. 50(C), pages 269-274.
    3. Mei, Bin, 2019. "Timberland investments in the United States: A review and prospects," Forest Policy and Economics, Elsevier, vol. 109(C).
    4. Piao, Xiaorui & Mei, Bin & Zhang, Weiyi, 2017. "Long-term event study of timber real estate investment trust conversions," Forest Policy and Economics, Elsevier, vol. 78(C), pages 1-9.
    5. Clements, Sherwood & Tidwell, Alan & Jin, Changha, 2017. "Futures markets and real estate public equity: Connectivity of lumber futures and Timber REITs," Journal of Forest Economics, Elsevier, vol. 28(C), pages 70-79.
    6. Mei, Bin & Clutter, Michael L., 2020. "Return and information transmission of public and private timberland markets in the United States," Forest Policy and Economics, Elsevier, vol. 113(C).
    7. Restrepo, Hector & Zhang, Weiyi & Mei, Bin, 2020. "The time-varying role of timberland in long-term, mixed-asset portfolios under the mean conditional value-at-risk framework," Forest Policy and Economics, Elsevier, vol. 113(C).

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    More about this item

    Keywords

    Copula; Distribution; Diversification; Tail dependence; Time varying;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • Q24 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Land

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