IDEAS home Printed from https://ideas.repec.org/p/ags/aaea03/22247.html
   My bibliography  Save this paper

Minimum Variance Hedging And The Encompassing Principle: Assessing The Effectiveness Of Futures Hedges

Author

Listed:
  • Manfredo, Mark R.
  • Sanders, Dwight R.

Abstract

An empirical methodology is developed for statistically testing the hedging effectiveness among competing futures contracts. The presented methodology is based on the encompassing principle, widely used in the forecasting literature, and applied here to minimum variance hedging regressions. Intuitively, the test is based on an alternative futures contract's ability to reduce residual basis risk by offering either diversification or a smaller absolute level of basis risk than a preferred futures contract. The methodology is also easily extended to cases involving multiple hedging instruments and general hedge ratio models. The methodology is demonstrated by evaluating the hedging effectiveness of Chicago Board of Trade's (CBOT) corn futures versus the Minneapolis Grain Exchange's National Corn Index (NCI) futures. The results indicate that the NCI futures encompass the CBOT futures for hedging country-level corn price risk in North Central Iowa; but, the NCI and CBOT futures are complementary in hedging terminal-level corn price risk at the U.S. Gulf.

Suggested Citation

  • Manfredo, Mark R. & Sanders, Dwight R., 2003. "Minimum Variance Hedging And The Encompassing Principle: Assessing The Effectiveness Of Futures Hedges," 2003 Annual meeting, July 27-30, Montreal, Canada 22247, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
  • Handle: RePEc:ags:aaea03:22247
    DOI: 10.22004/ag.econ.22247
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/22247/files/sp03ma05.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.22247?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. Davidson, Russell & MacKinnon, James G, 1981. "Several Tests for Model Specification in the Presence of Alternative Hypotheses," Econometrica, Econometric Society, vol. 49(3), pages 781-793, May.
    2. West, Kenneth D, 2001. "Tests for Forecast Encompassing When Forecasts Depend on Estimated Regression Parameters," Journal of Business & Economic Statistics, American Statistical Association, vol. 19(1), pages 29-33, January.
    3. Harvey, David I & Leybourne, Stephen J & Newbold, Paul, 1998. "Tests for Forecast Encompassing," Journal of Business & Economic Statistics, American Statistical Association, vol. 16(2), pages 254-259, April.
    4. 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.
    5. B. Wade Brorsen & Darren W. Buck & Stephen R. Koontz, 1998. "Hedging hard red winter wheat: Kansas City versus Chicago," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 18(4), pages 449-466, June.
    6. Anderson, Ronald W & Danthine, Jean-Pierre, 1981. "Cross Hedging," Journal of Political Economy, University of Chicago Press, vol. 89(6), pages 1182-1196, December.
    7. Josué Martínez‐Garmendia & James L. Anderson, 1999. "Hedging performance of shrimp futures contracts with multiple deliverable grades," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 19(8), pages 957-990, December.
    8. Roger A. Dahlgran, 2000. "Cross-hedging the cottonseed crush: A case study," Agribusiness, John Wiley & Sons, Ltd., vol. 16(2), pages 141-158.
    9. Diebold, Francis X & Mariano, Roberto S, 2002. "Comparing Predictive Accuracy," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 134-144, January.
    10. Granger, C. W. J. & Newbold, Paul, 1986. "Forecasting Economic Time Series," Elsevier Monographs, Elsevier, edition 2, number 9780122951831 edited by Shell, Karl.
    11. Mark W. Ditsch & Raymond M. Leuthold, 1996. "Evaluating the Hedging Potential of the Lean Hog Futures Contract," Finance 9609003, University Library of Munich, Germany.
    12. Castelino, Mark G & Francis, Jack C & Wolf, Avner, 1991. "Cross-Hedging: Basis Risk and Choice of the Optimal Hedging Vehicle," The Financial Review, Eastern Finance Association, vol. 26(2), pages 179-210, May.
    13. Joost M. E. Pennings & Matthew T. G. Meulenberg, 1997. "The hedging performance in new agricultural futures markets: A note," Agribusiness, John Wiley & Sons, Ltd., vol. 13(3), pages 295-300.
    14. David Harvey & Paul Newbold, 2000. "Tests for multiple forecast encompassing," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(5), pages 471-482.
    15. Elam, Emmett W., 1988. "Estimated Hedging Risk With Cash Settlement Feeder Cattle Futures," Western Journal of Agricultural Economics, Western Agricultural Economics Association, vol. 13(1), pages 1-8, July.
    16. Mizon, Grayham E & Richard, Jean-Francois, 1986. "The Encompassing Principle and Its Application to Testing Non-nested Hypotheses," Econometrica, Econometric Society, vol. 54(3), pages 657-678, May.
    17. Ederington, Louis H, 1979. "The Hedging Performance of the New Futures Markets," Journal of Finance, American Finance Association, vol. 34(1), pages 157-170, March.
    18. Howard Doran, 1993. "Testing Nonnested Models," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 75(1), pages 95-103.
    19. Ditsch, Mark W. & Leuthold, Raymond M., 1996. "Evaluating The Hedging Potential Of The Lean Hog Futures Contract," ACE OFOR Reports 14769, University of Illinois at Urbana-Champaign, Department of Agricultural and Consumer Economics.
    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. Sanders, Dwight R. & Manfredo, Mark R., 2004. "Comparing Hedging Effectiveness: An Application of the Encompassing Principle," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 29(1), pages 1-14, April.
    2. Dimitriadis, Timo & Schnaitmann, Julie, 2021. "Forecast encompassing tests for the expected shortfall," International Journal of Forecasting, Elsevier, vol. 37(2), pages 604-621.
    3. Timo Dimitriadis & Xiaochun Liu & Julie Schnaitmann, 2020. "Encompassing Tests for Value at Risk and Expected Shortfall Multi-Step Forecasts based on Inference on the Boundary," Papers 2009.07341, arXiv.org.
    4. Clements, Michael P. & Harvey, David I., 2011. "Combining probability forecasts," International Journal of Forecasting, Elsevier, vol. 27(2), pages 208-223.
    5. Massimiliano Marcellino, "undated". "Further Results on MSFE Encompassing," Working Papers 143, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
    6. Mark Manfredo & Timothy Richards, 2009. "Hedging with weather derivatives: a role for options in reducing basis risk," Applied Financial Economics, Taylor & Francis Journals, vol. 19(2), pages 87-97.
    7. Renee van Eyden & Goodness C. Aye & Rangan Gupta, 2012. "Predictive Ability of Competing Models for South Africa’s Fixed Business Non- Residential Investment Spending," Working Papers 201229, University of Pretoria, Department of Economics.
    8. Sanders, Dwight R. & Greer, Tracy D., 2002. "Hedging Spot Corn: An Examination Of The Minneapolis Grain Exchange'S Cash Settled Corn Contract," 2002 Conference, April 22-23, 2002, St. Louis, Missouri 19064, NCR-134 Conference on Applied Commodity Price Analysis, Forecasting, and Market Risk Management.
    9. David Bivin, 2005. "Gauging the performance of the linear-quadratic inventory model," Applied Economics, Taylor & Francis Journals, vol. 37(11), pages 1215-1231.
    10. Håvard Hungnes, 2018. "Encompassing tests for evaluating multi-step system forecasts invariant to linear transformations," Discussion Papers 871, Statistics Norway, Research Department.
    11. Håvard Hungnes, 2020. "Equal predictability test for multi-step-ahead system forecasts invariant to linear transformations," Discussion Papers 931, Statistics Norway, Research Department.
    12. 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.
    13. Saša ŽIKOVIÆ & Randall K. FILER, 2013. "Ranking of VaR and ES Models: Performance in Developed and Emerging Markets," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 63(4), pages 327-359, August.
    14. Guo, Zhibo & White, Ben & Mugera, Amin, 2013. "Hedge Effectiveness for Western Australia Crops," 2013 Conference (57th), February 5-8, 2013, Sydney, Australia 152154, Australian Agricultural and Resource Economics Society.
    15. Manfredo, Mark R. & Sanders, Dwight R., 2004. "Forecast Encompassing And Futures Market Efficiency: The Case Of Milk Futures," 2004 Annual meeting, August 1-4, Denver, CO 20267, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    16. Christian Dunis & Pierre Lequeux, 2000. "Intraday data and hedging efficiency in interest spread trading," The European Journal of Finance, Taylor & Francis Journals, vol. 6(4), pages 332-352.
    17. Anthony H. Tu & Cathy Yi-Hsuan Chen, 2016. "What Derives the Bond Portfolio Value-at-Risk: Information Roles of Macroeconomic and Financial Stress Factors," SFB 649 Discussion Papers SFB649DP2016-006, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
    18. Franken, Jason R.V. & Irwin, Scott H. & Garcia, Philip, 2021. "Biodiesel hedging under binding renewable fuel standard mandates," Energy Economics, Elsevier, vol. 96(C).
    19. Mark E. Wohar & David E. Rapach, 2007. "Forecasting the recent behavior of US business fixed investment spending: an analysis of competing models This is a significantly revised version of our previous paper, 'Forecasting US Business Fixed ," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 26(1), pages 33-51.
    20. Bentes, Sonia R. & Menezes, Rui, 2013. "On the predictability of realized volatility using feasible GLS," Journal of Asian Economics, Elsevier, vol. 28(C), pages 58-66.

    More about this item

    Keywords

    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:aaea03:22247. 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.