IDEAS home Printed from https://ideas.repec.org/p/ags/n13413/285789.html

How Much Would It Be Worth to Know the WASDE Report In Advance?

Author

Listed:
  • Milacek, Trent T.
  • Brorsen, B. Wade

Abstract

Past research has shown that prices move in response to WASDE reports, but have only looked at price movements right before and right after the reports. This research seeks to determine the profitability of trading based on knowing the next WASDE report at the time of the current report. The research should help traders evaluate investments in efforts to predict the report. First, a trade and hold model is used to determine the profits of trading based on whether ending stocks will be up or down in the next WASDE report. Second, a price forecast model using an ending stocks regression is used to forecast price at the next WASDE report release. The intercept of the model is calibrated so that the model predicts the current price without error; the slope is based on report data from no more than the last two years of data. Using the forecasted price, the position of the trading model’s profit calculation can change daily based on where the closing price of the commodity is in relation to the price prediction. Profits were averaged on a days-til-report, monthly, and yearly basis. Both models were profitable and the most profitable day to trade was the report release day. However, the trade and hold model outperformed the variable position model which suggests more work is needed to increase the forecasting power of this model. This might be accomplished by using additional years of data or by a form of Bayesian smoothing to improve the forecasts.

Suggested Citation

  • Milacek, Trent T. & Brorsen, B. Wade, 2013. "How Much Would It Be Worth to Know the WASDE Report In Advance?," 2013 Conference, April 22-23, 2013, St. Louis, Missouri 285789, NCR-134/ NCCC-134 Applied Commodity Price Analysis, Forecasting, and Market Risk Management.
  • Handle: RePEc:ags:n13413:285789
    DOI: 10.22004/ag.econ.285789
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/285789/files/Milacek_Brorsen_NCCC-134_2013.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.285789?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
    ---><---

    References listed on IDEAS

    as
    1. McKenzie, Andrew M., 2008. "AJAE Appendix: Pre-Harvest Expectations for Corn: The Informational Content of USDA Reports on New Crop Futures," American Journal of Agricultural Economics APPENDICES, Agricultural and Applied Economics Association, vol. 90(2), pages 1-2.
    2. Nikolaos T. Milonas, 1987. "The effects of USDA crop announcements on commodity prices," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 7(5), pages 571-589, October.
    3. T. Randall Fortenbery & Daniel A. Sumner, 1993. "The effects of USDA reports in futures and options markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 13(2), pages 157-173, April.
    4. Vogel, Fred A. & Bange, Gerald A., 1999. "Understanding USDA Crop Forecasts," USDA Miscellaneous 320799, United States Department of Agriculture.
    5. Good, Darrel L. & Irwin, Scott H. & Isengildina, Olga, 2006. "The Value of USDA Situation and Outlook Information in Hog and Cattle Markets," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 31(2), pages 1-21, August.
    6. Mallory, Mindy L. & Irwin, Scott H. & Hayes, Dermot J., 2012. "How Market Efficiency and the Theory of Storage Link Corn and Ethanol Markets Energy Economics," ISU General Staff Papers 201211010700001537, Iowa State University, Department of Economics.
    7. Michael K. Adjemian & Aaron Smith, 2012. "Using USDA Forecasts to Estimate the Price Flexibility of Demand for Agricultural Commodities," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 94(4), pages 978-995.
    8. Isengildina-Massa, Olga & Irwin, Scott H. & Good, Darrel L. & Gomez, Jennifer K., 2008. "The Impact of Situation and Outlook Information in Corn and Soybean Futures Markets: Evidence from WASDE Reports," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 40(1), pages 89-103, April.
    9. Olga Isengildina-Massa & Scott H. Irwin & Darrel L. Good & Jennifer K. Gomez, 2008. "Impact of WASDE reports on implied volatility in corn and soybean markets," Agribusiness, John Wiley & Sons, Ltd., vol. 24(4), pages 473-490.
    10. Andrew M. McKenzie, 2008. "Pre-Harvest Price Expectations for Corn: The Information Content of USDA Reports and New Crop Futures," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 90(2), pages 351-366.
    11. Mallory, Mindy L. & Irwin, Scott H. & Hayes, Dermot J., 2012. "How market efficiency and the theory of storage link corn and ethanol markets," Energy Economics, Elsevier, vol. 34(6), pages 2157-2166.
    12. repec:cup:jagaec:v:40:y:2008:i:1:p:89-103_6 is not listed on IDEAS
    13. Wescott, Paul C. & Hull, David B., 1985. "Relationships Between Quarterly Grain Prices and Stocks," 1981-1999 Conference Archive 285424, NCR-134/ NCCC-134 Applied Commodity Price Analysis, Forecasting, and Market Risk Management.
    14. Westcott, Paul C. & Hull, David B. & Green, Robert C., 1985. "Relationships between Quarterly Corn Prices and Stocks," Journal of Agricultural Economics Research, United States Department of Agriculture, Economic Research Service, vol. 37(01), pages 1-7.
    Full references (including those not matched with items on IDEAS)

    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. Isengildina-Massa, Olga & Cao, Xiang & Karali, Berna & Irwin, Scott H. & Adjemian, Michael & Johansson, Robert C., 2021. "When does USDA information have the most impact on crop and livestock markets?," Journal of Commodity Markets, Elsevier, vol. 22(C).
    2. Ying, Jiahui & Chen, Yu & Dorfman, Jeffrey H., 2017. "Is the Value of USDA Announcement Effects Declining over Time?," 2017 Conference, April 24-25, 2017, St. Louis, Missouri 285877, NCR-134/ NCCC-134 Applied Commodity Price Analysis, Forecasting, and Market Risk Management.
    3. Andrew M. McKenzie & Jessica L. Darby, 2017. "Information Content of USDA Rice Reports and Price Reactions of Rice Futures," Agribusiness, John Wiley & Sons, Ltd., vol. 33(4), pages 552-568, September.
    4. Xie, Ran & Isengildina-Massa, Olga Isengildina- & Sharp, Julia L., 2014. "Quantifying Public and Private Information Effects on the Cotton Market," 2014 Conference, April 21-22, 2014, St. Louis, Missouri 285815, NCR-134/ NCCC-134 Applied Commodity Price Analysis, Forecasting, and Market Risk Management.
    5. Karali, Berna & Isengildina-Massa, Olga & Irwin, Scott H. & Adjemian, Michael K. & Johansson, Robert, 2019. "Are USDA reports still news to changing crop markets?," Food Policy, Elsevier, vol. 84(C), pages 66-76.
    6. Bunek, Gabriel D. & Janzen, Joseph P., 2024. "Does public information facilitate price consensus? Characterizing USDA announcement effects using realized volatility," Journal of Commodity Markets, Elsevier, vol. 33(C).
    7. Kishore Joseph & Philip Garcia, 2018. "Intraday market effects in electronic soybean futures market during non-trading and trading hour announcements," Applied Economics, Taylor & Francis Journals, vol. 50(11), pages 1188-1202, March.
    8. Ying, Jiahui & Shonkwiler, J. Scott, "undated". "A Temporal Impact Assessment Method for the Informational Content of USDA Reports in Corn and Soybean Futures Markets," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258201, Agricultural and Applied Economics Association.
    9. Tianyang Zhang & Ziran Li, 2022. "Can a rational expectation storage model explain the USDA ending grain stocks forecast errors?," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 42(3), pages 313-337, March.
    10. Lehecka, Georg V., 2014. "The Value of USDA Crop Progress and Condition Information: Reactions of Corn and Soybean Futures Markets," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 39(01), pages 1-18, April.
    11. Lusk, Jayson L., "undated". "From Farm Income to Food Consumption: Valuing USDA Data Products," C-FARE Reports 266593, Council on Food, Agricultural, and Resource Economics (C-FARE).
    12. repec:ags:jrapmc:122315 is not listed on IDEAS
    13. Olga Isengildina-Massa & Scott H. Irwin & Darrel L. Good & Jennifer K. Gomez, 2008. "Impact of WASDE reports on implied volatility in corn and soybean markets," Agribusiness, John Wiley & Sons, Ltd., vol. 24(4), pages 473-490.
    14. Darby, Jessica L. & McKenzie, Andrew M., 2015. "Information Content of USDA Rice Reports and Price Reactions of Rice Futures," 2015 Conference, April 20-21, 2015, St. Louis, Missouri 285835, NCR-134/ NCCC-134 Applied Commodity Price Analysis, Forecasting, and Market Risk Management.
    15. Karali, Berna, 2012. "Do USDA Announcements Affect Comovements Across Commodity Futures Returns?," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 37(01), pages 1-21, April.
    16. Dorfman, Jeffrey H. & Karali, Berna, 2013. "A Nonparametric Search for Information Effects from USDA Reports," 2013 Conference, April 22-23, 2013, St. Louis, Missouri 285795, NCR-134/ NCCC-134 Applied Commodity Price Analysis, Forecasting, and Market Risk Management.
    17. Adjemian, Michael K. & Johansson, Robert & McKenzie, Andrew & Thomsen, Michael, 2016. "The Value of Government Information in an Era of Declining Budgets," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235811, Agricultural and Applied Economics Association.
    18. Lehecka, Georg V., 2013. "The Reaction of Corn and Soybean Futures Markets to USDA Crop Progress and Condition Information," 2013 Annual Meeting, February 2-5, 2013, Orlando, Florida 142491, Southern Agricultural Economics Association.
    19. Siddhartha S. Bora & Ani L. Katchova & Todd H. Kuethe, 2021. "The Rationality of USDA Forecasts under Multivariate Asymmetric Loss," American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(3), pages 1006-1033, May.
    20. Dominik Boos, 2024. "Risky times: Seasonality and event risk of commodities," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 44(5), pages 767-783, May.
    21. 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.

    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:n13413:285789. 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: http://www.farmdoc.illinois.edu/nccc134/ .

    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.