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Investor attention and abnormal performance of timberland investments in the United States

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  • Gao, Lei
  • Mei, Bin

Abstract

We use Internet search volume of timberland related terms to test investor attention on timberland asset pricing. With an innovate measure of investor attention based on Internet search volume, we investigate the empirical implication of Internet information search on timberland asset pricing. Our results reveal that investor attention to the finished wood products market, the global climate change, the emerging biomass market, and the overall manufacturing industry has significant effects on the abnormal returns of timberland investments.

Suggested Citation

  • Gao, Lei & Mei, Bin, 2013. "Investor attention and abnormal performance of timberland investments in the United States," Forest Policy and Economics, Elsevier, vol. 28(C), pages 60-65.
  • Handle: RePEc:eee:forpol:v:28:y:2013:i:c:p:60-65
    DOI: 10.1016/j.forpol.2013.01.003
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    References listed on IDEAS

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    1. Peng, Lin & Xiong, Wei, 2006. "Investor attention, overconfidence and category learning," Journal of Financial Economics, Elsevier, vol. 80(3), pages 563-602, June.
    2. Sun, Changyou, 2007. "Variation of federal cost-share programs in the United States and the inducement effects on tree planting," Journal of Forest Economics, Elsevier, vol. 12(4), pages 279-296, February.
    3. Matthias Bank & Martin Larch & Georg Peter, 2011. "Google search volume and its influence on liquidity and returns of German stocks," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 25(3), pages 239-264, September.
    4. Michael C. Jensen, 1968. "The Performance Of Mutual Funds In The Period 1945–1964," Journal of Finance, American Finance Association, vol. 23(2), pages 389-416, May.
    5. Changyou Sun & Daowei Zhang, 2001. "Assessing the Financial Performance of Forestry-Related Investment Vehicles: Capital Asset Pricing Model vs. Arbitrage Pricing Theory," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 83(3), pages 617-628.
    6. Smith, Geoffrey Peter, 2012. "Google Internet search activity and volatility prediction in the market for foreign currency," Finance Research Letters, Elsevier, vol. 9(2), pages 103-110.
    7. Waggle, Doug & Johnson, Don T., 2009. "An analysis of the impact of timberland, farmland and commercial real estate in the asset allocation decisions of institutional investors," Review of Financial Economics, Elsevier, vol. 18(2), pages 90-96, April.
    8. Morris Goldstein & Mohsin S. Khan, 1976. "Large versus Small Price Changes and the Demand for Imports (Demande d'importation et modification forte ou faible des prix) (Grandes y pequeñas variaciones de precios y la demanda de importación)," IMF Staff Papers, Palgrave Macmillan, vol. 23(1), pages 200-225, March.
    9. Bert Scholtens & Laura Spierdijk, 2010. "Does Money Grow on Trees? The Diversification Properties of U.S. Timberland Investments," Land Economics, University of Wisconsin Press, vol. 86(3).
    10. William F. Sharpe, 1964. "Capital Asset Prices: A Theory Of Market Equilibrium Under Conditions Of Risk," Journal of Finance, American Finance Association, vol. 19(3), pages 425-442, September.
    11. Song, Haiyan & Liu, Xiaming & Romilly, Peter, 1996. "A Time Varying Parameter Approach to the Chinese Aggregate Consumption Function," Economic Change and Restructuring, Springer, vol. 29(3), pages 185-203.
    12. Durbin, James & Koopman, Siem Jan, 2012. "Time Series Analysis by State Space Methods," OUP Catalogue, Oxford University Press, edition 2, number 9780199641178.
    13. Zhi Da & Joseph Engelberg & Pengjie Gao, 2011. "In Search of Attention," Journal of Finance, American Finance Association, vol. 66(5), pages 1461-1499, October.
    14. Simeon Vosen & Torsten Schmidt, 2011. "Forecasting private consumption: survey‐based indicators vs. Google trends," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 30(6), pages 565-578, September.
    15. Mondria, Jordi & Wu, Thomas & Zhang, Yi, 2010. "The determinants of international investment and attention allocation: Using internet search query data," Journal of International Economics, Elsevier, vol. 82(1), pages 85-95, September.
    16. Sims, Christopher A., 2003. "Implications of rational inattention," Journal of Monetary Economics, Elsevier, vol. 50(3), pages 665-690, April.
    17. Hirshleifer, David & Teoh, Siew Hong, 2003. "Limited attention, information disclosure, and financial reporting," Journal of Accounting and Economics, Elsevier, vol. 36(1-3), pages 337-386, December.
    18. Michael S. Drake & Darren T. Roulstone & Jacob R. Thornock, 2012. "Investor Information Demand: Evidence from Google Searches Around Earnings Announcements," Journal of Accounting Research, Wiley Blackwell, vol. 50(4), pages 1001-1040, September.
    19. Doran, Howard E. & Rambaldi, Alicia N., 1997. "Applying linear time-varying constraints to econometric models: With an application to demand systems," Journal of Econometrics, Elsevier, vol. 79(1), pages 83-95, July.
    20. Brad M. Barber & Terrance Odean, 2008. "All That Glitters: The Effect of Attention and News on the Buying Behavior of Individual and Institutional Investors," Review of Financial Studies, Society for Financial Studies, vol. 21(2), pages 785-818, April.
    21. Sherwood Clements & Alan J. Ziobrowski & Mark Holder, 2011. "Lumber Futures and Timberland Investment," Journal of Real Estate Research, American Real Estate Society, vol. 33(1), pages 49-72.
    22. Berna Karali & Gabriel J. Power & Ariun Ishdorj, 2011. "Bayesian State-Space Estimation of Stochastic Volatility for Storable Commodities," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 93(2), pages 434-440.
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