IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Login to save this article or follow this journal

Efficient estimation and testing of oil futures contracts in a mutual offset system

  • M. McAleer
  • J. M. Sequeira

With the globalization of financial and commodity markets, it is becoming increasingly important to recognize price linkages between markets beyond national boundaries. Models of futures pricing that incorporate such price linkages into the information set can be expected to be superior empirically. Test results obtained in the paper support this proposition strongly in the case of Brent crude oil futures contracts traded in a mutual offset system between the Singapore International Monetary Exchange (SIMEX) and the International Petroleum Exchange (IPE). Augmented models of SIMEX Brent futures contracts are obtained by incorporating the previous day's IPE Brent futures price into the equation system for the unbiased expectations and the cost-of-carry hypotheses, whereas augmented models of IPE Brent futures contracts are obtained by incorporating the same day's SIMEX Brent futures price in the system for the two hypotheses. On the basis of tests of zero restrictions, the system for the augmented unbiased expectations hypothesis is found to be superior empirically to the system for the standard Unbiased Expectations hypothesis, and the augmented cost-of-carry system is also found to be superior empirically to the standard cost-of-carry system for both SIMEX Brent futures and IPE Brent futures contracts.

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: http://www.tandfonline.com/doi/abs/10.1080/0960310042000284687
Download Restriction: Access to full text is restricted to subscribers.

As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.

Article provided by Taylor & Francis Journals in its journal Applied Financial Economics.

Volume (Year): 14 (2004)
Issue (Month): 13 ()
Pages: 953-962

as
in new window

Handle: RePEc:taf:apfiec:v:14:y:2004:i:13:p:953-962
Contact details of provider: Web page: http://www.tandfonline.com/RAFE20

Order Information: Web: http://www.tandfonline.com/pricing/journal/RAFE20

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

as in new window
  1. Campbell, John & Perron, Pierre, 1991. "Pitfalls and Opportunities: What Macroeconomists Should Know about Unit Roots," Scholarly Articles 3374863, Harvard University Department of Economics.
  2. James G. MacKinnon, 1990. "Critical Values for Cointegration Tests," Working Papers 1227, Queen's University, Department of Economics.
  3. Park, Joon Y. & Phillips, Peter C.B., 1989. "Statistical Inference in Regressions with Integrated Processes: Part 2," Econometric Theory, Cambridge University Press, vol. 5(01), pages 95-131, April.
  4. Bekaert, Geert & Hodrick, Robert J, 1992. " Characterizing Predictable Components in Excess Returns on Equity and Foreign Exchange Markets," Journal of Finance, American Finance Association, vol. 47(2), pages 467-509, June.
  5. Engle, R. F. & Granger, C. W. J. (ed.), 1991. "Long-Run Economic Relationships: Readings in Cointegration," OUP Catalogue, Oxford University Press, number 9780198283393.
  6. Engle, Robert F & Granger, Clive W J, 1987. "Co-integration and Error Correction: Representation, Estimation, and Testing," Econometrica, Econometric Society, vol. 55(2), pages 251-76, March.
  7. Fama, Eugene F & Farber, Andre, 1979. "Money, Bonds, and Foreign Exchange," American Economic Review, American Economic Association, vol. 69(4), pages 639-49, September.
  8. Banerjee, Anindya & Dolado, Juan J. & Galbraith, John W. & Hendry, David, 1993. "Co-integration, Error Correction, and the Econometric Analysis of Non-Stationary Data," OUP Catalogue, Oxford University Press, number 9780198288107.
  9. Geert Bekaert & Robert J. Hodrick, 1991. "On Biases in the Measurement of Foreign Exchange Risk Premiums," NBER Working Papers 3861, National Bureau of Economic Research, Inc.
  10. Amin, Kaushik I. & Jarrow, Robert A., 1991. "Pricing foreign currency options under stochastic interest rates," Journal of International Money and Finance, Elsevier, vol. 10(3), pages 310-329, September.
Full references (including those not matched with items on IDEAS)

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

When requesting a correction, please mention this item's handle: RePEc:taf:apfiec:v:14:y:2004:i:13:p:953-962. 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: (Michael McNulty)

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.

If references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link to it, you can help with 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 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.

This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.