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Price variation and volume dynamics of securitized timberlands

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  • Sun, Changyou

Abstract

An increasing amount of timberlands have been securitized and made available to investors in the form of Master Limited Partnerships (MLPs) or Real Estate Investment Trusts (REITs). In this study, Generalized Autoregressive Conditional Heteroscedasticity (GARCH) and extreme value models were utilized to examine price variation and volume dynamics of six firms that have specialized in timberland investment. Total standing shares and average daily turnover rates for the MLPs were smaller than those for the timber REITs. Both the GARCH and extreme value models revealed a positive return–volume relation, which provided a strong empirical support for the mixture-of-distribution hypothesis. During extreme market movements, the MLPs had stronger and more stable return–volume relations than the timber REITs. Asymmetric return–volume relation was identified for the MLPs, while the relation was fairly symmetric for the timber REITs.

Suggested Citation

  • Sun, Changyou, 2013. "Price variation and volume dynamics of securitized timberlands," Forest Policy and Economics, Elsevier, vol. 27(C), pages 44-53.
  • Handle: RePEc:eee:forpol:v:27:y:2013:i:c:p:44-53
    DOI: 10.1016/j.forpol.2012.09.017
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    1. James C. Luu & Martin Martens, 2003. "Testing the mixture‐of‐distributions hypothesis using “realized” volatility," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 23(7), pages 661-679, July.
    2. Nelson, Daniel B, 1991. "Conditional Heteroskedasticity in Asset Returns: A New Approach," Econometrica, Econometric Society, vol. 59(2), pages 347-370, March.
    3. Jennings, Robert H. & Barry, Christopher B., 1983. "Information Dissemination and Portfolio Choice," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 18(1), pages 1-19, March.
    4. Tauchen, George E & Pitts, Mark, 1983. "The Price Variability-Volume Relationship on Speculative Markets," Econometrica, Econometric Society, vol. 51(2), pages 485-505, March.
    5. Epps, Thomas W & Epps, Mary Lee, 1976. "The Stochastic Dependence of Security Price Changes and Transaction Volumes: Implications for the Mixture-of-Distributions Hypothesis," Econometrica, Econometric Society, vol. 44(2), pages 305-321, March.
    6. Hodrick, Robert J & Prescott, Edward C, 1997. "Postwar U.S. Business Cycles: An Empirical Investigation," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 29(1), pages 1-16, February.
    7. Balduzzi, Pierluigi & Kallal, Hedi & Longin, Francois, 1996. "Minimal returns and the breakdown of the price-volume relation," Economics Letters, Elsevier, vol. 50(2), pages 265-269, February.
    8. Karpoff, Jonathan M., 1987. "The Relation between Price Changes and Trading Volume: A Survey," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 22(1), pages 109-126, March.
    9. McNeil, Alexander J. & Frey, Rudiger, 2000. "Estimation of tail-related risk measures for heteroscedastic financial time series: an extreme value approach," Journal of Empirical Finance, Elsevier, vol. 7(3-4), pages 271-300, November.
    10. Terry A. Marsh and Niklas Wagner., 2000. "Return-Volume Dependence and Extremes in International Equity Markets," Research Program in Finance Working Papers RPF-293, University of California at Berkeley.
    11. Ning, Cathy & Wirjanto, Tony S., 2009. "Extreme return-volume dependence in East-Asian stock markets: A copula approach," Finance Research Letters, Elsevier, vol. 6(4), pages 202-209, December.
    12. Sun, Xing & Zhang, Daowei, 2011. "An event analysis of industrial timberland sales on shareholder values of major U.S. forest products firms," Forest Policy and Economics, Elsevier, vol. 13(5), pages 396-401, June.
    13. Sun, Changyou & Rahman, Mohammad M. & Munn, Ian A., 2013. "Adjustment of stock prices and volatility to changes in industrial timberland ownership," Forest Policy and Economics, Elsevier, vol. 26(C), pages 91-101.
    14. Lamoureux, Christopher G & Lastrapes, William D, 1990. "Heteroskedasticity in Stock Return Data: Volume versus GARCH Effects," Journal of Finance, American Finance Association, vol. 45(1), pages 221-229, March.
    15. Bollerslev, Tim & Jubinski, Dan, 1999. "Equity Trading Volume and Volatility: Latent Information Arrivals and Common Long-Run Dependencies," Journal of Business & Economic Statistics, American Statistical Association, vol. 17(1), pages 9-21, January.
    16. Clark, Peter K, 1973. "A Subordinated Stochastic Process Model with Finite Variance for Speculative Prices," Econometrica, Econometric Society, vol. 41(1), pages 135-155, January.
    17. Wang, Jiang, 1994. "A Model of Competitive Stock Trading Volume," Journal of Political Economy, University of Chicago Press, vol. 102(1), pages 127-168, February.
    18. Chen, Gong-meng & Firth, Michael & Rui, Oliver M, 2001. "The Dynamic Relation between Stock Returns, Trading Volume, and Volatility," The Financial Review, Eastern Finance Association, vol. 36(3), pages 153-173, August.
    19. Copeland, Thomas E, 1976. "A Model of Asset Trading under the Assumption of Sequential Information Arrival," Journal of Finance, American Finance Association, vol. 31(4), pages 1149-1168, September.
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    Cited by:

    1. Mei, Bin, 2019. "Timberland investments in the United States: A review and prospects," Forest Policy and Economics, Elsevier, vol. 109(C).
    2. 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.

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