Efficiency Of Forest Commodity Futures Markets
AbstractMarket efficiency and unbiasedness tests are performed for the first time for three forest commodity futures markets: softwood lumber, oriented strand board (OSB), and northern bleached softwood kraft pulp (NBSK). The Johansen cointegration procedure is applied to test long-term market efficiency, while the standard error correction models (ECM) and ECM with GQARCH-in-mean process are also used to examine short-term market efficiency and unbiasedness. Results show that these markets are inefficient and biased in both the long-term and short-term. Results also indicate that no short-term time-varying risk premiums are found in these commodity futures markets.
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Bibliographic InfoPaper provided by American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association) in its series 2004 Annual meeting, August 1-4, Denver, CO with number 20344.
Date of creation: 2004
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- Stacie Beck, 2001. "Autoregressive conditional heteroscedasticity in commodity spot prices," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 16(2), pages 115-132.
- Alvaro Escribano & Santiago Mira, 2001. "Nonlinear error correction models," Documentos de trabajo conjunto ULL-ULPGC 2001-03, Facultad de Ciencias Económicas de la ULPGC.
- Johansen, Soren, 1988. "Statistical analysis of cointegration vectors," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 231-254.
- Stock, James H, 1987. "Asymptotic Properties of Least Squares Estimators of Cointegrating Vectors," Econometrica, Econometric Society, vol. 55(5), pages 1035-56, September.
- Granger, C W J & Swanson, Norman, 1996. "Future Developments in the Study of Cointegrated Variables," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 58(3), pages 537-53, August.
- Hall, S G, 1986. "An Application of the Granger & Engle Two-Step Estimation Procedure to United Kingdom Aggregate Wage Data," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 48(3), pages 229-39, August.
- Holt, Matthew T. & Aradhyula, Satheesh V., 1998. "Endogenous risk in rational-expectations commodity models: A multivariate generalized ARCH-M approach," Journal of Empirical Finance, Elsevier, vol. 5(2), pages 99-129, June.
- Hall, S G, 1991. "The Effect of Varying Length VAR Models on the Maximum Likelihood Estimates of Cointegrating Vectors," Scottish Journal of Political Economy, Scottish Economic Society, vol. 38(4), pages 317-23, November.
- Dickey, David A & Fuller, Wayne A, 1981. "Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root," Econometrica, Econometric Society, vol. 49(4), pages 1057-72, June.
- Beck, Stacie E, 1993. "A Rational Expectations Model of Time Varying Risk Premia in Commodities Futures Markets: Theory and Evidence," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 34(1), pages 149-68, February.
- Sanders, Dwight R. & Manfredo, Mark R., 2005. "A Test of Forecast Consistency Using USDA Livestock Price Forecasts," 2005 Conference, April 18-19, 2005, St. Louis, Missouri 19042, NCR-134 Conference on Applied Commodity Price Analysis, Forecasting, and Market Risk Management.
- Manfredo, Mark R. & Sanders, Dwight R., 2008. "Price discovery in a private cash forward market for lumber," Journal of Forest Economics, Elsevier, vol. 14(1), pages 73-89, January.
- Sanders, Dwight R. & Manfredo, Mark R., 2005. "Price Discovery in Private Cash Forward Markets - The Case of Lumber," 2005 Conference, April 18-19, 2005, St. Louis, Missouri 19049, NCR-134 Conference on Applied Commodity Price Analysis, Forecasting, and Market Risk Management.
- Manfredo, Mark R. & Sanders, Dwight R., 2006. "Contribution to Price Discovery in the Forest Product Market: Futures, Forwards, and Spot Markets," 2006 Annual meeting, July 23-26, Long Beach, CA 21250, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
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