A GARCH Approach to Modelling Ocean Grain Freight Rates

Sneha Jonnala, Stephen Fuller and David Bessler ()

Maritime Economics & Logistics, 2002, vol. 4, issue 2, 103-125

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

Date: 2002
References: Add references at CitEc
Citations: View citations in EconPapers (6)

Downloads: (external link)
http://www.palgrave-journals.com/mel/journal/v4/n2/pdf/9100039a.pdf Link to full text PDF (application/pdf)
http://www.palgrave-journals.com/mel/journal/v4/n2/full/9100039a.html Link to full text HTML (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:pal:marecl:v:4:y:2002:i:2:p:103-125

Ordering information: This journal article can be ordered from
http://www.springer. ... nt/journal/41278/PS2

Access Statistics for this article

Maritime Economics & Logistics is currently edited by Hercules E. Haralambides

More articles in Maritime Economics & Logistics from Palgrave Macmillan, International Association of Maritime Economists (IAME) Contact information at EDIRC.
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().