IDEAS home Printed from https://ideas.repec.org/p/ags/nccsci/37573.html
   My bibliography  Save this paper

To What Surprises Do Hog Futures Markets Respond?

Author

Listed:
  • Frank, Julieta
  • Garcia, Philip
  • Irwin, Scott H.

Abstract

We re-assess the effect of new information contained in the Hogs and Pigs Reports (HPR) focusing on the rationality of the announcements. We find that HPR preliminary numbers are irrational estimates of the final numbers and market expectations before the announcements are also irrational estimates of HPR numbers. Based on these results we modify the conventional measure of new information entering into the market (i.e., announcement - market expectation), and incorporate final estimates and the market’s best forecast into the analysis. Results show modest statistical differences between the conventional and modified measures of surprise; however some economic differences, as large as 27 cents/cwt, emerged. We also find that, as expected, marketings information has a larger effect on short-term price changes and breedings information has a larger effect on long-term price changes.

Suggested Citation

  • Frank, Julieta & Garcia, Philip & Irwin, Scott H., 2007. "To What Surprises Do Hog Futures Markets Respond?," 2007 Conference, April 16-17, 2007, Chicago, Illinois 37573, NCCC-134 Conference on Applied Commodity Price Analysis, Forecasting, and Market Risk Management.
  • Handle: RePEc:ags:nccsci:37573
    DOI: 10.22004/ag.econ.37573
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/37573/files/confp17-07.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.37573?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. Koontz, Stephen R. & Hudson, Michael A. & Purcell, Wayne D., 1984. "The Impact Of Hog And Pig Reports On Live Hog Futures Prices: An Event Study Of Market Efficiency," 1984 Annual Meeting, August 5-8, Ithaca, New York 278981, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    2. G.S. Maddala & Forrest D. Nelson, 1975. "Specification Errors in Limited Dependent Variable Models," NBER Working Papers 0096, National Bureau of Economic Research, Inc.
    3. Philip Garcia, 2004. "A selected review of agricultural commodity futures and options markets," European Review of Agricultural Economics, Foundation for the European Review of Agricultural Economics, vol. 31(3), pages 235-272, September.
    4. Meyer, Steve R. & Lawrence, John D., 1988. "Comparing USDA Hogs and Pigs Reports to Subsequent Slaughter: Does Systematic Error Exist?," Working Papers 256649, University of Missouri Columbia, Department of Agricultural Economics.
    5. Carter, Colin A., 1999. "Commodity futures markets: a survey," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 43(2), pages 1-39, June.
    6. Jeffrey B. Mills & Ted C. Schroeder, 2004. "Are cattle on feed report revisions random and does industry anticipate them?," Agribusiness, John Wiley & Sons, Ltd., vol. 20(3), pages 363-374.
    7. Hurd, Michael, 1979. "Estimation in truncated samples when there is heteroscedasticity," Journal of Econometrics, Elsevier, vol. 11(2-3), pages 247-258.
    8. Falk, Barry L. & Orazem, Peter, 1989. "Measuring Market Responses to Error-Ridden Government Announcements," Staff General Research Papers Archive 11096, Iowa State University, Department of Economics.
    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. Matthew Houser & Berna Karali, 2020. "How Scary Are Food Scares? Evidence from Animal Disease Outbreaks," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 42(2), pages 283-306, June.
    2. Berna Karali & Scott H. Irwin & Olga Isengildina‐Massa, 2020. "Supply Fundamentals and Grain Futures Price Movements," American Journal of Agricultural Economics, John Wiley & Sons, vol. 102(2), pages 548-568, March.
    3. R. Karina Gallardo & B. Wade Brorsen & Jayson Lusk, 2010. "Prediction markets: an experimental approach to forecasting cattle on feed," Agricultural Finance Review, Emerald Group Publishing, vol. 70(3), pages 414-426, November.
    4. Olga Isengildina-Massa & Berna Karali & Scott H Irwin, 2017. "Do Markets Correct for Smoothing in USDA Crop Production Forecasts? Evidence from Private Analysts and Futures Prices," Applied Economic Perspectives and Policy, Agricultural and Applied Economics Association, vol. 39(4), pages 559-583.

    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. Berna Karali & Scott H. Irwin & Olga Isengildina‐Massa, 2020. "Supply Fundamentals and Grain Futures Price Movements," American Journal of Agricultural Economics, John Wiley & Sons, vol. 102(2), pages 548-568, March.
    2. Scott H. Irwin & Dwight R. Sanders, 2011. "Index Funds, Financialization, and Commodity Futures Markets," Applied Economic Perspectives and Policy, Agricultural and Applied Economics Association, vol. 33(1), pages 1-31.
    3. Etienne, Xiaoli L. & Irwin, Scott H. & Garcia, Philip, 2014. "Bubbles in food commodity markets: Four decades of evidence," Journal of International Money and Finance, Elsevier, vol. 42(C), pages 129-155.
    4. Daniel Pollmann & Thomas Dohmen & Franz Palm, 2020. "Robust Estimation of Wage Dispersion with Censored Data: An Application to Occupational Earnings Risk and Risk Attitudes," De Economist, Springer, vol. 168(4), pages 519-540, December.
    5. Olga Isengildina-Massa & Berna Karali & Scott H Irwin, 2017. "Do Markets Correct for Smoothing in USDA Crop Production Forecasts? Evidence from Private Analysts and Futures Prices," Applied Economic Perspectives and Policy, Agricultural and Applied Economics Association, vol. 39(4), pages 559-583.
    6. Bente Halvorsen, 1996. "Ordering effects in contingent valuation surveys," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 8(4), pages 485-499, December.
    7. Huang, Chung L. & Raunikar, Robert & Tyan, Holly L., 1986. "Heteroscedasticity In Broiler Meat Expenditure Pattern Estimation," Western Journal of Agricultural Economics, Western Agricultural Economics Association, vol. 11(2), pages 1-9, December.
    8. Hedtrich, F. & Loy, J.-P. & Müller, R.A.E., 2010. "Prognosen auf Agrarmärkten: Prediction Markets – eine innovative Prognosemethode auch für die Landwirtschaft?," Proceedings “Schriften der Gesellschaft für Wirtschafts- und Sozialwissenschaften des Landbaues e.V.”, German Association of Agricultural Economists (GEWISOLA), vol. 45, March.
    9. Aulerich, Nicole M. & Irwin, Scott H. & Nelson, Carl H., 2007. "The Impact of Measurement Error on Estimates of the Price Reaction to USDA Crop Reports," 2007 Conference, April 16-17, 2007, Chicago, Illinois 37579, NCCC-134 Conference on Applied Commodity Price Analysis, Forecasting, and Market Risk Management.
    10. Fabien Candau & Serge Rey, 2014. "International Trade in Outermost Europe: A Comparative Analysis of Mayotte Island and French Overseas Departments," European Journal of Comparative Economics, Cattaneo University (LIUC), vol. 11(1), pages 123-146, June.
    11. Schunk, Daniel, 2007. "What determines the saving behavior of German households? : an examination of saving motives and saving decisions," Papers 07-10, Sonderforschungsbreich 504.
    12. Berna Karali & Jeffrey H. Dorfman & Walter N. Thurman, 2010. "Do volatility determinants vary across futures contracts? Insights from a smoothed Bayesian estimator," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 30(3), pages 257-277, March.
    13. Carson, Richard T. & Louviere, Jordan J., 2014. "Statistical properties of consideration sets," Journal of choice modelling, Elsevier, vol. 13(C), pages 37-48.
    14. Cox, Thomas L. & Briggs, Hugh, 1989. "Heteroscedastic Tobit Models: The Household Demand for Fresh Potatoes Revisited," Staff Papers 200482, University of Wisconsin-Madison, Department of Agricultural and Applied Economics.
    15. David J. Pannell & Getu Hailu & Alfons Weersink & Amanda Burt, 2008. "More reasons why farmers have so little interest in futures markets," Agricultural Economics, International Association of Agricultural Economists, vol. 39(1), pages 41-50, July.
    16. Leila Baghdadi & Rihab Bellakhal & Marc-Arthur Diaye, 2016. "Financial Participation: Does the Risk Transfer Story Hold in France?," British Journal of Industrial Relations, London School of Economics, vol. 54(1), pages 3-29, March.
    17. Feil, J.-H. & Anastassiadis, F. & Mußhoff, O. & Schilling, P., 2015. "Analysing Farmers’ Use of Price Hedging Instruments: An Experimental Approach," Proceedings “Schriften der Gesellschaft für Wirtschafts- und Sozialwissenschaften des Landbaues e.V.”, German Association of Agricultural Economists (GEWISOLA), vol. 50, March.
    18. Melenberg, Bertrand & van Soest, Arthur, 1996. "Parametric and Semi-parametric Modelling of Vacation Expenditures," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 11(1), pages 59-76, Jan.-Feb..
    19. Klomp, Jeroen, 2020. "The impact of Russian sanctions on the return of agricultural commodity futures in the EU," Research in International Business and Finance, Elsevier, vol. 51(C).

    More about this item

    JEL classification:

    • C24 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Truncated and Censored Models; Switching Regression Models; Threshold Regression Models
    • Q13 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agricultural Markets and Marketing; Cooperatives; Agribusiness

    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:nccsci:37573. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: . General contact details of provider: https://edirc.repec.org/data/dauiuus.html .

    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/dauiuus.html .

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.