IDEAS home Printed from
   My bibliography  Save this article

Combining time-varying and dynamic multi-period optimal hedging models


  • Michael S. Haigh
  • Matthew T. Holt


This paper presents an effective way of combining two distinct approaches used in the hedging literature--dynamic programming (DP) and time-series (GARCH) econometrics. Theoretically consistent yet realistic and tractable models are developed for traders interested in hedging a portfolio. Results from a bootstrapping experiment used to construct confidence bands around the competing portfolios suggest that, whereas DP--GARCH outperforms the GARCH approach, they are statistically equivalent to the OLS approach when the markets are stable. Traders may achieve significant gains, however, by adopting the DP--GARCH model rather than the OLS approach when markets are volatile. Copyright 2002, Oxford University Press.

Suggested Citation

  • Michael S. Haigh & Matthew T. Holt, 2002. "Combining time-varying and dynamic multi-period optimal hedging models," European Review of Agricultural Economics, Foundation for the European Review of Agricultural Economics, vol. 29(4), pages 471-500, December.
  • Handle: RePEc:oup:erevae:v:29:y:2002:i:4:p:471-500

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Other versions of this item:

    References listed on IDEAS

    1. Engle, Robert F. & Kroner, Kenneth F., 1995. "Multivariate Simultaneous Generalized ARCH," Econometric Theory, Cambridge University Press, vol. 11(01), pages 122-150, February.
    2. Tomislav Vukina & James L. Anderson, 1993. "A State-Space Forecasting Approach to Optimal Intertemporal Cross-Hedging," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 75(2), pages 416-424.
    3. Myers, Robert J. & Thompson, Stanley R., 1988. "Generalized Optimal Hedge Ratio Estimation," Staff Papers 200967, Michigan State University, Department of Agricultural, Food, and Resource Economics.
    4. Cecchetti, Stephen G & Cumby, Robert E & Figlewski, Stephen, 1988. "Estimation of the Optimal Futures Hedge," The Review of Economics and Statistics, MIT Press, vol. 70(4), pages 623-630, November.
    5. Dickey, David A & Fuller, Wayne A, 1981. "Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root," Econometrica, Econometric Society, vol. 49(4), pages 1057-1072, June.
    6. Karp, Larry S, 1988. "Dynamic Hedging with Uncertain Production," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 29(4), pages 621-637, November.
    7. Rausser, Gordon C & Carter, Colin, 1983. "Futures Market Efficiency in the Soybean Complex," The Review of Economics and Statistics, MIT Press, vol. 65(3), pages 469-478, August.
    8. Tae H. Park & Lorne N. Switzer, 1995. "Bivariate GARCH estimation of the optimal hedge ratios for stock index futures: A note," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 15(1), pages 61-67, February.
    9. Peter S. Sephton, 1993. "Optimal Hedge Ratios at the Winnipeg Commodity Exchange," Canadian Journal of Economics, Canadian Economics Association, vol. 26(1), pages 175-193, February.
    10. Sergio H. Lence & Kevin L. Kimle & Marvin L. Hayenga, 1993. "A Dynamic Minimum Variance Hedge," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 75(4), pages 1063-1071.
    11. Baillie, Richard T & Myers, Robert J, 1991. "Bivariate GARCH Estimation of the Optimal Commodity Futures Hedge," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 6(2), pages 109-124, April-Jun.
    12. 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.
    13. Ronald W. Anderson & Jean-Pierre Danthine, 1983. "The Time Pattern of Hedging and the Volatility of Futures Prices," Review of Economic Studies, Oxford University Press, vol. 50(2), pages 249-266.
    14. Kenneth H. Mathews & Duncan M. Holthausen, 1991. "A Simple Multiperiod Minimum Risk Hedge Model," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 73(4), pages 1020-1026.
    15. Gagnon, Louis & Lypny, Gregory J. & McCurdy, Thomas H., 1998. "Hedging foreign currency portfolios," Journal of Empirical Finance, Elsevier, vol. 5(3), pages 197-220, September.
    16. Steve W. Martinez & Kelly D. Zering, 1992. "Optimal Dynamic Hedging Decisions for Grain Producers," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 74(4), pages 879-888.
    17. Pennings, Joost M. E. & M. Leuthold, Raymond, 2001. "Introducing new futures contracts: reinforcement versus cannibalism," Journal of International Money and Finance, Elsevier, vol. 20(5), pages 659-675, October.
    18. Michael S. Haigh & Matthew T. Holt, 2000. "Hedging Multiple Price Uncertainty in International Grain Trade," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 82(4), pages 881-896.
    19. Nance, Deana R & Smith, Clifford W, Jr & Smithson, Charles W, 1993. " On the Determinants of Corporate Hedging," Journal of Finance, American Finance Association, vol. 48(1), pages 267-284, March.
    20. Engle, Robert F, 1982. "Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation," Econometrica, Econometric Society, vol. 50(4), pages 987-1007, July.
    Full references (including those not matched with items on IDEAS)


    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.

    Cited by:

    1. 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.

    More about this item


    Access and download statistics


    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:oup:erevae:v:29:y:2002:i:4:p:471-500. 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: (Oxford University Press) or (Christopher F. Baum). General contact details of provider: .

    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.