IDEAS home Printed from https://ideas.repec.org/p/ags/aaea26/404351.html

The Fair-Weather Hedge: Dependence Shifts and Hedging Failure in Feedlot Margins

Author

Listed:
  • Lee, Siun

Abstract

Feedlot operators hedge a feeding margin that depends jointly on feeder cattle, corn, and live cattle prices, yet futures hedges lose effectiveness precisely when margins deteriorate. Using rolling Regular-Vine copulas on daily prices for the three commodities (2014–2025), this research studies the joint dependence among spot and futures markets and hedging effectiveness across profit and loss regimes. Variance based effectiveness is relatively stable, but downside effectiveness falls sharply as margins turn negative. This is driven not by the dependence structure but by the level of the margin. Because futures are approximately mean-neutral, they reshape the margin’s dispersion but cannot shift its location: when the expected margin sits below break-even, downside protection collapses even as variance reduction is preserved.

Suggested Citation

  • Lee, Siun, 2026. "The Fair-Weather Hedge: Dependence Shifts and Hedging Failure in Feedlot Margins," 2026 Annual Meeting, July 26 - 28, 2026, Kansas City, Missouri 404351, Agricultural and Applied Economics Association.
  • Handle: RePEc:ags:aaea26:404351
    DOI: 10.22004/ag.econ.404351
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/404351/files/177464_192219_115232_feedlot_triple_leg-draft.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.404351?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. Robert J. Myers & Stanley R. Thompson, 1989. "Generalized Optimal Hedge Ratio Estimation," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 71(4), pages 858-868.
    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. Abdulnasser Hatemi-J & Youssef El-Khatib, 2012. "Stochastic optimal hedge ratio: theory and evidence," Applied Economics Letters, Taylor & Francis Journals, vol. 19(8), pages 699-703, May.
    2. Julyerme M. Tonin & Carlos M. R. Vieira & Rui M. de Sousa Fragoso & João G. Martines Filho, 2020. "Conditional correlation and volatility between spot and futures markets for soybean and corn," Agribusiness, John Wiley & Sons, Ltd., vol. 36(4), pages 707-724, October.
    3. Michaël Dewally & Luke Marriott, 2008. "Effective Basemetal Hedging: The Optimal Hedge Ratio and Hedging Horizon," JRFM, MDPI, vol. 1(1), pages 1-36, December.
    4. Sayle, James & Anderson, John D. & Coble, Keith H. & Hudson, Darren, 2006. "Optimal Hedging Strategies for Early-Planted Soybeans in the South," 2006 Annual meeting, July 23-26, Long Beach, CA 21200, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    5. Moschini, GianCarlo & Myers, Robert J., 2002. "Testing for constant hedge ratios in commodity markets: a multivariate GARCH approach," Journal of Empirical Finance, Elsevier, vol. 9(5), pages 589-603, December.
    6. Coble, Keith H. & Zuniga, Manuel & Heifner, Richard, 2003. "Evaluation of the interaction of risk management tools for cotton and soybeans," Agricultural Systems, Elsevier, vol. 75(2-3), pages 323-340.
    7. repec:isu:genstf:1993010108000011461 is not listed on IDEAS
    8. Wenming Shi & Kevin X. Li & Zhongzhi Yang & Ganggang Wang, 2017. "Time-varying copula models in the shipping derivatives market," Empirical Economics, Springer, vol. 53(3), pages 1039-1058, November.
    9. Tejeda, Hernan A. & Goodwin, Barry K., 2011. "Testing the Performance of Multiproduct Optimal Hedging with Time-Varying Correlations in Storable and Non-storable Commodities," 2011 Conference, April 18-19, 2011, St. Louis, Missouri 285341, NCR-134/ NCCC-134 Applied Commodity Price Analysis, Forecasting, and Market Risk Management.
    10. Taehyun Lee & Ioannis C Moutzouris & Nikos C Papapostolou & Mahmoud Fatouh, 2023. "Foreign exchange hedging using regime-switching models: the case of pound sterling," Bank of England Staff Working Paper series 1042, Bank of England.
    11. Schroeder, Ted C. & Yang, Xiaolou, 2001. "Hedging Wholesale Beef Cuts," 2001 Annual Meeting, July 8-11, 2001, Logan, Utah 36091, Western Agricultural Economics Association.
    12. Sergio H. Lence & Dermot J. Hayes, 1995. "Optimal Hedging Under Forward‐Looking Behaviour," The Economic Record, The Economic Society of Australia, vol. 71(4), pages 329-342, December.
    13. Amir Alizadeh & Manolis Kavussanos & David Menachof, 2004. "Hedging against bunker price fluctuations using petroleum futures contracts: constant versus time-varying hedge ratios," Applied Economics, Taylor & Francis Journals, vol. 36(12), pages 1337-1353.
    14. Yu, Xing & Li, Yanyan & Lu, Junli & Shen, Xilin, 2023. "Futures hedging in crude oil markets: A trade-off between risk and return," Resources Policy, Elsevier, vol. 80(C).
    15. Wan-Yi Chiu, 2021. "Mean-variance hedging in the presence of estimation risk," Review of Derivatives Research, Springer, vol. 24(3), pages 221-241, October.
    16. Rodt, Marc & Schäfer, Klaus, 2005. "Absicherung von Strompreisrisiken mit Futures: Theorie und Empirie," Freiberg Working Papers 2005/18, TU Bergakademie Freiberg, Faculty of Economics and Business Administration.
    17. Anil K. Bera & Philip Garcia & Jae-Sun Roh, 1997. "Estimation of Time-Varying Hedge Ratios for Corn and Soybeans: BGARCH and Random Coefficient Approaches," Finance 9712007, University Library of Munich, Germany.
    18. Abdulnasser Hatemi-J & Eduardo Roca, 2006. "Calculating the optimal hedge ratio: constant, time varying and the Kalman Filter approach," Applied Economics Letters, Taylor & Francis Journals, vol. 13(5), pages 293-299.
    19. Dahlgran, Roger A., 2005. "Hedging Cash Flows from Commodity Processing," 2005 Conference, April 18-19, 2005, St. Louis, Missouri 19046, NCR-134 Conference on Applied Commodity Price Analysis, Forecasting, and Market Risk Management.
    20. Shashi Gupta & Himanshu Choudhary & D.R. Agarwal, 2017. "Hedging Efficiency of Indian Commodity Futures," Paradigm, , vol. 21(1), pages 1-20, June.
    21. Li Wei & Ming-Chih Lee & Wan-Hsiu Cheng & Chia-Hsien Tang & Jing-Wun You, 2023. "Evaluating the Efficiency of Financial Assets as Hedges against Bitcoin Risk during the COVID-19 Pandemic," Mathematics, MDPI, vol. 11(13), pages 1-19, 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:aaea26:404351. 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/aaeaaea.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.