IDEAS home Printed from https://ideas.repec.org/a/oup/ajagec/v82y2000i4p881-896.html
   My bibliography  Save this article

Hedging Multiple Price Uncertainty in International Grain Trade

Author

Listed:
  • Michael S. Haigh
  • Matthew T. Holt

Abstract

Commodity and freight futures contracts are analyzed for their effectiveness in reducing uncertainty for international traders. A theoretical model is developed for a trader exposed to several types of risk. OLS hedge ratio estimation is compared to the SUR and the multivariate GARCH methodologies. Explicit modeling of the time-variation in hedge ratios via the multivariate GARCH methodology, using all derivatives, and taking into account dependencies between prices, results in reductions in risk, even after accounting for transaction costs. Results confirm that while the commodity futures contracts are important for hedging risk, freight futures are a useful mechanism for reducing risk. Copyright 2000, Oxford University Press.

Suggested Citation

  • 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.
  • Handle: RePEc:oup:ajagec:v:82:y:2000:i:4:p:881-896
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1111/0002-9092.00088
    Download Restriction: Access to full text is restricted to subscribers.

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Silk, Julian, 1996. "Systems Estimation: A Comparison of SAS, SHAZAM and TSP," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 11(4), pages 437-450, July-Aug..
    2. Yalta, A. Talha, 2007. "The Numerical Reliability of GAUSS 8.0," The American Statistician, American Statistical Association, vol. 61, pages 262-268, August.
    3. Dewald, William G & Thursby, Jerry G & Anderson, Richard G, 1986. "Replication in Empirical Economics: The Journal of Money, Credit and Banking Project," American Economic Review, American Economic Association, vol. 76(4), pages 587-603, September.
    4. Sawitzki, Gunther, 1994. "Report on the Numerical Reliability of Data Analysis Systems," Computational Statistics & Data Analysis, Elsevier, vol. 18(2), pages 289-301, September.
    5. B. D. McCullough, 2006. "A review of TESTU01," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(5), pages 677-682.
    6. Sawitzki, Gunther, 1994. "Testing numerical reliability of data analysis systems," Computational Statistics & Data Analysis, Elsevier, vol. 18(2), pages 269-286, September.
    7. H. D. Vinod & B. D. McCullough, 1999. "The Numerical Reliability of Econometric Software," Journal of Economic Literature, American Economic Association, vol. 37(2), pages 633-665, June.
    8. H. D. Vinod & B. D. McCullough, 1999. "Corrigenda: The Numerical Reliability of Econometric Software," Journal of Economic Literature, American Economic Association, vol. 37(4), pages 1565-1565, December.
    9. Simon, Stephen D. & Lesage, James P., 1988. "Benchmarking numerical accuracy of statistical algorithms," Computational Statistics & Data Analysis, Elsevier, vol. 7(2), pages 197-209, December.
    10. A. Talha Yalta, 2010. "The Accuracy of Statistical Distributions in Microsoft (R) Excel 2007," Working Papers 1006, TOBB University of Economics and Technology, Department of Economics.
    11. McCullough, B D, 1999. "Econometric Software Reliability: EViews, LIMDEP, SHAZAM and TSP," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 14(2), pages 191-202, March-Apr.
    12. H. D. Vinod, 2000. "Review of GAUSS for Windows, including its numerical accuracy," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(2), pages 211-220.
    Full references (including those not matched with items on IDEAS)

    More about this item

    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:oup:ajagec:v:82:y:2000:i:4:p:881-896. 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: http://edirc.repec.org/data/aaeaaea.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.

    We have no references for this item. You can help adding them by using 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.