IDEAS home Printed from https://ideas.repec.org/p/ags/umaesp/135077.html
   My bibliography  Save this paper

Parametric Bootstrap Tests for Futures Price and Implied Volatility Biases with Application to Rating Livestock Margin Insurance for Dairy Cattle

Author

Listed:
  • Bozic, Marin
  • Newton, John
  • Thraen, Cameron S.
  • Gould, Brian W.

Abstract

A common approach in the literature, whether the investigation is about futures price risk premiums or biases in option-based implied volatility coefficients, is to use samples in which consecutive observations can be regarded as uncorrelated. That will be the case for non- overlapping forecast horizons constructed by either focusing on short time-to-maturity contracts or excluding some data. In this article we propose a parametric bootstrap procedure for uncovering futures and options biases in data characterized by overlapping horizons and correlated prediction errors. We apply our method to test hypotheses that futures prices are efficient and unbiased predictors of terminal prices, and that squared implied volatility, multiplied by time left to option expiry, is an unbiased predictor of terminal log-price variance. We apply the test to corn, soybean meal and Class III milk futures and options data for the period 2000-2011. We find evidence for downward bias in soybean meal futures, as well as downward volatility bias in Class III milk options. Importance of these results is illustrated on the example of premium determination for Livestock Gross Margin Insurance for Dairy Cattle (LGM-Dairy).

Suggested Citation

  • Bozic, Marin & Newton, John & Thraen, Cameron S. & Gould, Brian W., 2012. "Parametric Bootstrap Tests for Futures Price and Implied Volatility Biases with Application to Rating Livestock Margin Insurance for Dairy Cattle," Staff Papers 135077, University of Minnesota, Department of Applied Economics.
  • Handle: RePEc:ags:umaesp:135077
    DOI: 10.22004/ag.econ.135077
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/135077/files/Bozic_APEC_P12-9_final_correctedOct17.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Brittain, Lee & Garcia, Philip & Irwin, Scott H., 2011. "Live and Feeder Cattle Options Markets: Returns, Risk, and Volatility Forecasting," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 36(1), pages 1-20, April.
    2. 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.
    3. Thorsten M. Egelkraut & Philip Garcia & Bruce J. Sherrick, 2007. "The Term Structure of Implied Forward Volatility: Recovery and Informational Content in the Corn Options Market," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 89(1), pages 1-11.
    4. Andrew McKenzie & Michael Thomsen & Josh Phelan, 2007. "How do you straddle hogs and pigs? Ask the Greeks!," Applied Financial Economics, Taylor & Francis Journals, vol. 17(7), pages 511-520.
    5. Urcola, Hernan A. & Irwin, Scott H., 2011. "Are Agricultural Options Overpriced?," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 36(1), pages 1-15, April.
    6. Bozic, Marin & Newton, John & Thraen, Cameron S. & Gould, Brian W., 2012. "Mean-reversion in Income over Feed Cost Margins:Evidence and Implications for Managing Margin Risk by U.S. Dairy Producers," Staff Papers 132379, University of Minnesota, Department of Applied Economics.
    7. Richard Deaves & Itzhak Krinsky, 1995. "Do futures prices for commodities embody risk premiums?," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 15(6), pages 637-648, September.
    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. John Newton & Cameron S. Thraen & Marin Bozic, 2016. "Evaluating Policy Design Choices for the Margin Protection Program for Dairy Producers: An Expected Indemnity Approach," Applied Economic Perspectives and Policy, Agricultural and Applied Economics Association, vol. 38(4), pages 712-730.

    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. Andres Trujillo-Barrera & Philip Garcia & Mindy L Mallory, 2018. "Short-term price density forecasts in the lean hog futures market," European Review of Agricultural Economics, Foundation for the European Review of Agricultural Economics, vol. 45(1), pages 121-142.
    2. Bozic, Marin & Newton, John & Thraen, Cameron S. & Gould, Brian W., 2014. "Parametric Bootstrap Tests for Futures Price and Implied Volatility Biases With Application to Rating Dairy Margin Insurance," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 170416, Agricultural and Applied Economics Association.
    3. 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.
    4. Smales, Lee A., 2016. "Trading behavior in S&P 500 index futures," Review of Financial Economics, Elsevier, vol. 28(C), pages 46-55.
    5. Chang, Chia-Lin & Huang, Biing-Wen & Chen, Meng-Gu & McAleer, Michael, 2011. "Modelling the asymmetric volatility in hog prices in Taiwan: The impact of joining the WTO," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 81(7), pages 1491-1506.
    6. Prehn, Sören & Glauben, Thomas & Loy, Jens-Peter & Pies, Ingo & Will, Matthias Georg, 2014. "The impact of long-only index funds on price discovery and market performance in agricultural futures markets," IAMO Discussion Papers 169081, Institute of Agricultural Development in Transition Economies (IAMO).
    7. Martin T. Bohl & Alexander Pütz & Pierre L. Siklos & Christoph Sulewski, 2018. "Information Transmission under Increasing Political Tension – Evidence for the Berlin Produce Exchange 1887-1896," CQE Working Papers 7618, Center for Quantitative Economics (CQE), University of Muenster.
    8. Tantisantiwong, Nongnuch, 2013. "Price Transmission and Effects of Exchange Rates on Domestic Commodity Prices via Offshore and Currency Hedging," SIRE Discussion Papers 2013-116, Scottish Institute for Research in Economics (SIRE).
    9. Williams Ohemeng & Bo Sjo & Michael Danquah, 2016. "Market Efficiency and Price Discovery in Cocoa Markets," Journal of African Business, Taylor & Francis Journals, vol. 17(2), pages 209-224, May.
    10. Loughrey, J. & Thorne, F. & Kinsella, A. & Hennessy, T. & O'Donoghue, C. & Vollenweider, X., 2015. "Market risk management and the demand for forward contracts among Irish dairy farmers," International Journal of Agricultural Management, Institute of Agricultural Management, vol. 4(4), July.
    11. Michael K. Adjemian & Valentina G. Bruno & Michel A. Robe, 2020. "Incorporating Uncertainty into USDA Commodity Price Forecasts," American Journal of Agricultural Economics, John Wiley & Sons, vol. 102(2), pages 696-712, March.
    12. MacDonald, James M. & Cessna, Jerry & Mosheim, Roberto, 2016. "Changing Structure, Financial Risks, and Government Policy for the U.S. Dairy Industry," Economic Research Report 262200, United States Department of Agriculture, Economic Research Service.
    13. Prehn, S. & Glauben, T. & Loy, J.-P. & Pies, I. & Will, M.G., 2015. "Der Einfluss von long-only-Indexfonds auf die Preisbildung und das Marktergebnis an landwirtschaftlichen Warenterminmärkten," Proceedings “Schriften der Gesellschaft für Wirtschafts- und Sozialwissenschaften des Landbaues e.V.”, German Association of Agricultural Economists (GEWISOLA), vol. 50, March.
    14. Burdine, Kenneth H. & Kusunose, Yoko & Maynard, Leigh J. & Blayney, Donald P. & Mosheim, Roberto, 2014. "Livestock Gross Margin–Dairy: An Assessment of Its Effectiveness as a Risk Management Tool and Its Potential to Induce Supply Expansion," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 46(2), pages 1-12, May.
    15. Li, Ziran, 2017. "Three essays on commodity markets," ISU General Staff Papers 201701010800006361, Iowa State University, Department of Economics.
    16. Huang, Biing-Wen & Chen, Meng-Gu & Chang, Chia-Lin & McAleer, Michael, 2009. "Modelling risk in agricultural finance: Application to the poultry industry in Taiwan," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 79(5), pages 1472-1487.
    17. Chang, Chia-Lin & McAleer, Michael & Wang, Yu-Ann, 2018. "Modelling volatility spillovers for bio-ethanol, sugarcane and corn spot and futures prices," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P1), pages 1002-1018.
    18. Wu, Feng & Myers, Robert J. & Guan, Zhengfei & Wang, Zhiguang, 2015. "Risk-adjusted implied volatility and its performance in forecasting realized volatility in corn futures prices," Journal of Empirical Finance, Elsevier, vol. 34(C), pages 260-274.
    19. Joseph M. Santos, 2014. "Back to the futures: An assessment of market performance on the early Winnipeg Grain Exchange," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 47(4), pages 1426-1448, November.
    20. Boetel, Brenda L. & Liu, Donald J., 2008. "Incorporating Structural Changes in Agricultural and Food Price Analysis: An Application to the U.S. Beef and Pork Sectors," Working Papers 44076, University of Minnesota, The Food Industry Center.

    More about this item

    Keywords

    Demand and Price Analysis; Research Methods/ Statistical Methods; Risk and Uncertainty;
    All these keywords.

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:umaesp:135077. 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: (AgEcon Search). General contact details of provider: http://edirc.repec.org/data/daumnus.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 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.

    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.