The Unbiasedness Hypothesis in the Freight Forward Market: Evidence from Cointegration Tests
Manolis Kavussanos (),
Ilias Visvikis and
David Menachof ()
Review of Derivatives Research, 2005, vol. 7, issue 3, 266 pages
Abstract:
The current paper investigates the unbiasedness hypothesis of Forward Freight Agreement (FFA) prices in the freight over-the-counter (OTC) forward market trades. Cointegration techniques are employed to examine the hypothesis. The results indicate that: FFA prices one and two months before maturity are unbiased predictors of the realised spot freight rates for all investigated shipping routes; three months FFA prices for panamax Pacific routes are unbiased predictors of spot prices, while FFA prices for panamax Atlantic routes are found to be biased predictors of spot prices. This diverse evidence suggests that the validity of the unbiasedness hypothesis depends on the specific characteristics of the market under investigation, the selected trading route and the time to maturity of the contract. Copyright Kluwer Academic Publishers 2005
Keywords: forward markets; cointegration; unbiasedness; shipping (search for similar items in EconPapers)
Date: 2005
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (12)
Downloads: (external link)
http://hdl.handle.net/10.1007/s11147-004-4811-7 (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:kap:revdev:v:7:y:2005:i:3:p:241-266
Ordering information: This journal article can be ordered from
http://www.springer. ... 29/journal/11147/PS2
DOI: 10.1007/s11147-004-4811-7
Access Statistics for this article
Review of Derivatives Research is currently edited by Gurdip Bakshi and Dilip Madan
More articles in Review of Derivatives Research from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().