IDEAS home Printed from https://ideas.repec.org/p/ags/tamufp/23997.html

Volatility Spillovers Between Foreign Exchange, Commodity And Freight Futures Prices: Implications For Hedging Strategies

Author

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

Abstract

In many studies the assumption is made that traders only encounter one type of price risk. In reality, however, traders are exposed to multiple price risks, and often have several relevant derivative instruments available with which to hedge price uncertainty. In this study, commodity, foreign exchange, and freight futures contracts are analyzed for their effectiveness in reducing price uncertainty for international grain traders. A theoretical model is developed for a representative European importer to depict a realistic trading problem encountered by an international grain trading corporation exposed to more than one type of price risk. The traditional method of estimating hedge ratios by Ordinary Least Squares (OLS) is compared to the Seemingly Unrelated Regression (SUR) and the multivariate GARCH (MGARCH) methodology, which takes into account time-varying variances and covariances between the cash and futures markets. Explicit modeling of the time-variation in futures hedge ratios via the MGARCH methodology, using all derivatives and taking into account dependencies between markets results in a significant reduction in price risk for grain traders. The results also confirm that the unique, but underutilized, freight futures market is a potentially useful mechanism for reducing price uncertainty for international grain traders. The research undertaken in this study provides valuable information about reducing price uncertainty for international grain traders and gives a better understanding of the linkages between closely related markets.

Suggested Citation

  • Haigh, Michael S. & Holt, Matthew T., 1999. "Volatility Spillovers Between Foreign Exchange, Commodity And Freight Futures Prices: Implications For Hedging Strategies," Faculty Paper Series 23997, Texas A&M University, Department of Agricultural Economics.
  • Handle: RePEc:ags:tamufp:23997
    DOI: 10.22004/ag.econ.23997
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/23997/files/fp99-05.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.23997?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
    ---><---

    Other versions of this item:

    Citations

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


    Cited by:

    1. Wilson, William W. & Wagner, Robert & Nganje, William E., 2003. "Strategic Hedging For Grain Processors," Agribusiness & Applied Economics Report 23637, North Dakota State University, Department of Agribusiness and Applied Economics.
    2. Calum G. Turvey & Shihong Yin, 2002. "On the Pricing of Cross Currency Futures Options for Canadian Grains and Livestock," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 50(3), pages 317-332, November.
    3. Haigh, Michael S. & Bryant, Henry L., 2000. "Price And Price Risk Dynamics In Barge And Ocean Freight Markets And The Effects On Commodity Trading," 2000 Conference, April 17-18 2000, Chicago, Illinois 18934, NCR-134 Conference on Applied Commodity Price Analysis, Forecasting, and Market Risk Management.
    4. Haigh, Michael S. & Bryant, Henry L., 2001. "The effect of barge and ocean freight price volatility in international grain markets," Agricultural Economics, Blackwell, vol. 25(1), pages 41-58, June.
    5. Michael S. Haigh & Henry L. Bryant, 2000. "The effect of barge and ocean freight price volatility in international grain markets," Agricultural Economics, International Association of Agricultural Economists, vol. 25(1), pages 41-58, June.

    More about this item

    Keywords

    ;

    JEL classification:

    • F3 - International Economics - - International Finance
    • C3 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables
    • G1 - Financial Economics - - General Financial Markets

    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:tamufp:23997. 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.

    We have no bibliographic 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.

    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/datamus.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.