Forecasting short-term timber prices with univariate ARIMA models

Southern Journal of Applied Forestry

Volumn 23, Issue 1, 1999, Pages 53-58

  Yin, Runsheng ^a  

^a UNIVERSITY OF GEORGIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 1242273748     PISSN: 01484419     EISSN: None     Source Type: Journal    
DOI: 10.1093/sjaf/23.1.53     Document Type: Article

References (11)

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2. HAIGHT, R.G., AND T.P. HOLMES. 1991. Stochastic price models and optimal tree cutting: Results for loblolly pine. Natur. Resour. Model. 5:423-443.
3. HAMILTON, J.D. 1994. Time series analysis. Princeton University Press, Princeton, NJ. 799 p.
4. JUDGE, G.G., R.C. HILL, W.E. GRIFFITHS, H. LUTKEPOHL, AND T.C. LEE. 1988. Introduction to the theory and practice of econometrics. Wiley, New York. 1024 p.
5. Miller Freeman, Inc. 1994. Pulp & paper factbook. Miller Freeman, San Francisco, CA. 469 p.
6. NORRIS FOUNDATION. 1976-1996. Timber Mart-South. University of Georgia, Athens, GA.
7. PANKRATZ, A. 1983. Forecasting with univariate Box-Jenkins models: Concepts and cases. Wiley, New York. 562 p.
8. USDA FOREST SERVICE. 1989. An analysis of the timber situation in the United States: 1989-2040. Gen. Tech. Rep. RM-199. 268 p.
9. WASHBURN, C.L., AND C.S. BINKLEY. 1990. Informational efficiency of markets for stumpage. Am. J. Agric. Econ. 72:394-405.
10. WASHBURN, C.L., AND C.S. BINKLEY. 1993. Informational efficiency of markets for stumpage: Reply. Am. J. Agric. Econ. 75:239-242.
11. YIN, R.S., AND D.H. NEWMAN. 1996. Are markets for stumpage informationally efficient. Can. J. For. Res. 26:1032-1039.