IDEAS home Printed from https://ideas.repec.org/a/ags/jlaare/134221.html

The Informational Content of Distant-Delivery Futures Contracts

Author

Listed:
  • Schnake, Kristin N.
  • Karali, Berna
  • Dorfman, Jeffrey H.

Abstract

Futures markets have two main goals: price discovery and risk management. Because management decisions often have to be made on a time horizon longer than the time until expiration of the nearby futures contract, it is important to determine how well distant-delivery futures contracts are able to assist in price discovery. We focus on soybean and live cattle distant-delivery futures contracts and test for the informational value added to nearby contracts. Two tests for information value provide partially conflicting results due to the different information measures employed. If being able to predict the price trend is sufficient, then we find some information value in distantdelivery futures contracts, while if accurate point estimates of future spot prices are desired the results are negative. Surprisingly, we do not find the expected dichotomy between the storable (soybeans) and non-storable (cattle) commodities.

Suggested Citation

  • Schnake, Kristin N. & Karali, Berna & Dorfman, Jeffrey H., 2012. "The Informational Content of Distant-Delivery Futures Contracts," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 37(2), pages 1-15, August.
  • Handle: RePEc:ags:jlaare:134221
    DOI: 10.22004/ag.econ.134221
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/134221/files/pp213-227_Schnake.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.134221?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. David A. Bessler & Ted Covey, 1991. "Cointegration: Some results on U.S. cattle prices," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 11(4), pages 461-474, August.
    2. Pesaran, M Hashem & Timmermann, Allan, 1992. "A Simple Nonparametric Test of Predictive Performance," Journal of Business & Economic Statistics, American Statistical Association, vol. 10(4), pages 561-565, October.
    3. repec:aen:journl:32-3-a02 is not listed on IDEAS
    4. J. Frank & P. Garcia, 2009. "Time-varying risk premium: further evidence in agricultural futures markets," Applied Economics, Taylor & Francis Journals, vol. 41(6), pages 715-725.
    5. Sanders, Dwight R. & Manfredo, Mark R. & Boris, Keith, 2009. "Evaluating information in multiple horizon forecasts: The DOE's energy price forecasts," Energy Economics, Elsevier, vol. 31(2), pages 189-196.
    6. Brown, Bryan W & Maital, Shlomo, 1981. "What Do Economists Know? An Empirical Study of Experts' Expectations," Econometrica, Econometric Society, vol. 49(2), pages 491-504, March.
    7. Ron Alquist & Lutz Kilian, 2010. "What do we learn from the price of crude oil futures?," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(4), pages 539-573.
    8. Dwight R. Sanders & Mark R. Manfredo, 2008. "Multiple horizons and information in USDA production forecasts," Agribusiness, John Wiley & Sons, Ltd., vol. 24(1), pages 55-66.
    9. Vuchelen, Jef & Gutierrez, Maria-Isabel, 2005. "A direct test of the information content of the OECD growth forecasts," International Journal of Forecasting, Elsevier, vol. 21(1), pages 103-117.
    10. Hector O. Zapata & T. Randall Fortenbery, 1996. "Stochastic Interest Rates and Price Discovery in Selected Commodity Markets," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 18(4), pages 643-654.
    11. Hansen, Lars Peter & Hodrick, Robert J, 1980. "Forward Exchange Rates as Optimal Predictors of Future Spot Rates: An Econometric Analysis," Journal of Political Economy, University of Chicago Press, vol. 88(5), pages 829-853, October.
    12. Dwight R. Sanders & Mark R. Manfredo, 2005. "Forecast Encompassing as the Necessary Condition to Reject Futures Market Efficiency: Fluid Milk Futures," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 87(3), pages 610-620.
    13. Brorsen, B. Wade & Bailey, DeeVon & Richardson, James W., 1984. "Investigation Of Price Discovery And Efficiency For Cash And Futures Cotton Prices," Western Journal of Agricultural Economics, Western Agricultural Economics Association, vol. 9(01), pages 1-7, July.
    14. Yang, Jian & Leatham, David J., 1999. "Price Discovery in Wheat Futures Markets," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 31(2), pages 359-370, August.
    15. Leuthold, Raymond M, 1972. "Random Walk and Price Trends: The Live Cattle Futures Market," Journal of Finance, American Finance Association, vol. 27(4), pages 879-889, September.
    16. Henriksson, Roy D & Merton, Robert C, 1981. "On Market Timing and Investment Performance. II. Statistical Procedures for Evaluating Forecasting Skills," The Journal of Business, University of Chicago Press, vol. 54(4), pages 513-533, October.
    17. Jeffrey H. Dorfman, 1993. "Bayesian Efficiency Tests for Commodity Futures Markets," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 75(5), pages 1206-1210.
    18. Carl R. Zulauf & Haijiang Zhou & Matthew C. Roberts, 2006. "Updating the estimation of the supply of storage," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 26(7), pages 657-676, July.
    19. Andrew McKenzie & Matthew Holt, 2002. "Market efficiency in agricultural futures markets," Applied Economics, Taylor & Francis Journals, vol. 34(12), pages 1519-1532.
    20. Naik, Gopal & Leuthold, Raymond M., 1988. "Cash And Futures Price Relationships For Nonstorable Commodities: An Empirical Analysis Using A General Theory," Western Journal of Agricultural Economics, Western Agricultural Economics Association, vol. 13(2), pages 1-12, December.
    21. Gray, Roger W. & Rutledge, David J.S., 1971. "The Economics of Commodity Futures Markets: A Survey," Review of Marketing and Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 39(04), pages 1-52, December.
    22. Sanders, Dwight R. & Garcia, Philip & Manfredo, Mark R., 2008. "Information Content in Deferred Futures Prices: Live Cattle and Hogs," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 33(01), pages 1-12, April.
    23. Pesaran, M. Hashem & Timmermann, Allan G., 1994. "A generalization of the non-parametric Henriksson-Merton test of market timing," Economics Letters, Elsevier, vol. 44(1-2), pages 1-7.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Hu, Zhepeng & Mallory, Mindy & Serra, Teresa, 2017. "Measuring Price Discovery between Nearby and Deferred Contracts in Storable and Non-Storable Commodity Futures Markets," 2017 Conference, April 24-25, 2017, St. Louis, Missouri 285866, NCR-134/ NCCC-134 Applied Commodity Price Analysis, Forecasting, and Market Risk Management.
    2. Dorfmann, Jeffrey & Karali, Berna, 2015. "A Nonparametric Search for Information Effects from USDA Reports," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 40(01), pages 1-20.
    3. Zhepeng Hu & Mindy Mallory & Teresa Serra & Philip Garcia, 2020. "Measuring price discovery between nearby and deferred contracts in storable and nonstorable commodity futures markets," Agricultural Economics, International Association of Agricultural Economists, vol. 51(6), pages 825-840, November.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Hu, Zhepeng & Mallory, Mindy & Serra, Teresa, 2017. "Measuring Price Discovery between Nearby and Deferred Contracts in Storable and Non-Storable Commodity Futures Markets," 2017 Conference, April 24-25, 2017, St. Louis, Missouri 285866, NCR-134/ NCCC-134 Applied Commodity Price Analysis, Forecasting, and Market Risk Management.
    2. McCracken,M.W. & West,K.D., 2001. "Inference about predictive ability," Working papers 14, Wisconsin Madison - Social Systems.
    3. Wang, H. Holly & Ke, Bingfan, 2005. "Efficiency tests of agricultural commodity futures markets in China," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 49(2), pages 1-17.
    4. Sanders, Dwight R. & Garcia, Philip & Manfredo, Mark R., 2008. "Information Content in Deferred Futures Prices: Live Cattle and Hogs," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 33(01), pages 1-12, April.
    5. Mihaela Simionescu, 2014. "Directional accuracy for inflation and unemployment rate predictions in Romania," International Journal of Business and Economic Sciences Applied Research (IJBESAR), Democritus University of Thrace (DUTH), Kavala Campus, Greece, vol. 7(2), pages 129-138, September.
    6. Lim, Terence & Lo, Andrew W. & Merton, Robert C. & Scholes, Myron S., 2006. "The Derivatives Sourcebook," Foundations and Trends(R) in Finance, now publishers, vol. 1(5–6), pages 365-572, April.
    7. Kladívko, Kamil & Österholm, Pär, 2021. "Do market participants’ forecasts of financial variables outperform the random-walk benchmark?," Finance Research Letters, Elsevier, vol. 40(C).
    8. Lahiri, Kajal & Peng, Huaming & Zhao, Yongchen, 2015. "Testing the value of probability forecasts for calibrated combining," International Journal of Forecasting, Elsevier, vol. 31(1), pages 113-129.
    9. Francis X. Diebold & Jose A. Lopez, 1995. "Forecast evaluation and combination," Research Paper 9525, Federal Reserve Bank of New York.
    10. Bozic, Marin & Fortenbery, T., 2015. "Price Discovery, Volatility Spillovers and Adequacy of Speculation when Spot Prices are Stationary: The Case of U.S. Dairy Markets," 2015 Conference, August 9-14, 2015, Milan, Italy 211369, International Association of Agricultural Economists.
    11. Lang, Korbinian & Auer, Benjamin R., 2020. "The economic and financial properties of crude oil: A review," The North American Journal of Economics and Finance, Elsevier, vol. 52(C).
    12. Zhepeng Hu & Mindy Mallory & Teresa Serra & Philip Garcia, 2020. "Measuring price discovery between nearby and deferred contracts in storable and nonstorable commodity futures markets," Agricultural Economics, International Association of Agricultural Economists, vol. 51(6), pages 825-840, November.
    13. Dorfmann, Jeffrey & Karali, Berna, 2015. "A Nonparametric Search for Information Effects from USDA Reports," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 40(01), pages 1-20.
    14. Huang, Joshua & Serra, Teresa & Garcia, Philip, 2017. "Are Futures Prices Good Price Forecasts? Nonlinearities in Efficiency and Risk Premiums in the Soybean Futures Market," 2017 Conference, April 24-25, 2017, St. Louis, Missouri 285872, NCR-134/ NCCC-134 Applied Commodity Price Analysis, Forecasting, and Market Risk Management.
    15. Sanders, Dwight R. & Manfredo, Mark R. & Boris, Keith, 2008. "Accuracy and efficiency in the U.S. Department of Energy's short-term supply forecasts," Energy Economics, Elsevier, vol. 30(3), pages 1192-1207, May.
    16. Swanson, Norman R. & White, Halbert, 1997. "Forecasting economic time series using flexible versus fixed specification and linear versus nonlinear econometric models," International Journal of Forecasting, Elsevier, vol. 13(4), pages 439-461, December.
    17. Manolis Kavussanos & Ilias Visvikis & David Menachof, 2005. "The Unbiasedness Hypothesis in the Freight Forward Market: Evidence from Cointegration Tests," Review of Derivatives Research, Springer, vol. 7(3), pages 241-266, October.
    18. Sanders, Dwight R. & Manfredo, Mark R. & Boris, Keith, 2009. "Evaluating information in multiple horizon forecasts: The DOE's energy price forecasts," Energy Economics, Elsevier, vol. 31(2), pages 189-196.
    19. Anusha, "undated". "Evaluating reliability of some symmetric and asymmetric univariate filters," Indira Gandhi Institute of Development Research, Mumbai Working Papers 2015-030, Indira Gandhi Institute of Development Research, Mumbai, India.
    20. Shashi Gupta & Himanshu Choudhary & D. R. Agarwal, 2018. "An Empirical Analysis of Market Efficiency and Price Discovery in Indian Commodity Market," Global Business Review, International Management Institute, vol. 19(3), pages 771-789, June.

    More about this item

    Keywords

    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ags:jlaare:134221. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/waeaaea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.