IDEAS home Printed from https://ideas.repec.org/a/pal/marecl/v4y2002i2p103-125.html
   My bibliography  Save this article

A GARCH Approach to Modelling Ocean Grain Freight Rates

Author

Listed:
  • Sneha Jonnala
  • Stephen Fuller
  • David Bessler

Abstract

Directed graphs and autoregressive conditional heteroskedastic error processes are used in the specification and estimation of an ocean grain rate equation. Results show voyage distance, ship size, contract terms, flag and season are important explainers of rates, as is ship tonnage contracted for haulage of selected other dry bulk commodities. Findings suggest the importance of efficient port infrastructure and its ability to accommodate the increasingly-large, more efficient bulk carrier in maintaining exporting countries' competitiveness in world grain markets.International Journal of Maritime Economics (2002) 4, 103–125. doi: 10.1057/palgrave.ijme.9100039

Suggested Citation

  • Sneha Jonnala & Stephen Fuller & David Bessler, 2002. "A GARCH Approach to Modelling Ocean Grain Freight Rates," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 4(2), pages 103-125, June.
  • Handle: RePEc:pal:marecl:v:4:y:2002:i:2:p:103-125
    as

    Download full text from publisher

    File URL: http://www.palgrave-journals.com/mel/journal/v4/n2/pdf/9100039a.pdf
    File Function: Link to full text PDF
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: http://www.palgrave-journals.com/mel/journal/v4/n2/full/9100039a.html
    File Function: Link to full text HTML
    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.

    Citations

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


    Cited by:

    1. Goulas, Lambros & Skiadopoulos, George, 2012. "Are freight futures markets efficient? Evidence from IMAREX," International Journal of Forecasting, Elsevier, vol. 28(3), pages 644-659.
    2. Babula, Ronald A. & Bessler, David A. & Reeder, John & Somwaru, Agapi, 2004. "Modeling U.S. Soy-Based Markets with Directed Acyclic Graphs and Time Series Econometrics: Evaluating the U.S. Market Impacts of High Soy Meal Prices," Working Paper ID Series 15885, United States International Trade Commission, Office of Industries.
    3. Babula, Ronald A. & Bessler, David A. & Payne, Warren S., 2003. "Dynamic Relationships Among Selected U.S. Commodity-Based, Value Added Markets: Applying Directed Acyclic Graphs to a Time Series Model," Working Paper ID Series 15879, United States International Trade Commission, Office of Industries.
    4. Babula, Ronald A. & Bessler, David A. & Rogowsky, Robert A., 2005. "Dynamic Economic Relationships Among U.S. Soy Product Markets: Using a Cointegrated Vector Autoregression Approach with Directed Acyclic Graphs," Working Paper ID Series 15880, United States International Trade Commission, Office of Industries.
    5. Babula, Ronald A. & Bessler, David A. & Reeder, John & Somwaru, Agapi, 2004. "Modeling U.S. Soy-Based Markets with Directed Acyclic Graphs and Bernanke Structural VAR Methods: The Impacts of High Soy Meal and Soybean Prices," Journal of Food Distribution Research, Food Distribution Research Society, vol. 35(03), November.
    6. Babula, Ronald A. & Bessler, David A. & Payne, Warren S., 2004. "Dynamic Relationships Among U.S. Wheat-Related Markets: Applying Directed Acyclic Graphs to a Time Series Model," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 36(01), April.

    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:pal:marecl:v:4:y:2002:i:2:p:103-125. 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: (Sonal Shukla) or (Rebekah McClure). General contact details of provider: http://www.palgrave-journals.com/ .

    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.