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The cointegration relationships among G-7 foreign exchange rates

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  • Kang, Heejoon

Abstract

A search method is applied to foreign exchange rates of G-7 countries, in terms of the US dollar, to estimate cointegration relationships. The method searches numerically, by strictly following the definition of the cointegration, a particular linear combination of nonstationary series in order to make it a stationary series. The list of those exchange rates which are cointegrated from the new method is very different from those derived from the conventional maximum likelihood estimation or ordinary least squares methods. The new method also provides confidence intervals for cointegration coefficients. From the confidence intervals, it is determined that certain G-7 currencies expressed in terms of the mark or the pound become stationary.

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Bibliographic Info

Article provided by Elsevier in its journal International Review of Financial Analysis.

Volume (Year): 17 (2008)
Issue (Month): 3 (June)
Pages: 446-460

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Handle: RePEc:eee:finana:v:17:y:2008:i:3:p:446-460

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Web page: http://www.elsevier.com/locate/inca/620166

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  1. John P. Lajaunie & Atsuyuki Naka, 1997. "Re-examining Cointegration, Unit Roots and Efficiency in Foreign Exchange Rates," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 24(3), pages 363-374.
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  5. repec:fth:sydnec:167 is not listed on IDEAS
  6. James H. Stock & Mark W. Watson, 1991. "A simple estimator of cointegrating vectors in higher order integrated systems," Working Paper Series, Macroeconomic Issues 91-3, Federal Reserve Bank of Chicago.
  7. Diebold, Francis X & Gardeazabal, Javier & Yilmaz, Kamil, 1994. " On Cointegration and Exchange Rate Dynamics," Journal of Finance, American Finance Association, vol. 49(2), pages 727-35, June.
  8. Johansen, Soren, 1991. "Estimation and Hypothesis Testing of Cointegration Vectors in Gaussian Vector Autoregressive Models," Econometrica, Econometric Society, vol. 59(6), pages 1551-80, November.
  9. Copeland, Laurence S, 1991. "Cointegration Tests with Daily Exchange Rate Data," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 53(2), pages 185-98, May.
  10. Neil Kellard & Paul Newbold & Tony Rayner, 2001. "Evaluating currency market efficiency: are cointegration tests appropriate?," Applied Financial Economics, Taylor & Francis Journals, vol. 11(6), pages 681-691.
  11. Montserrat Ferre & Stephen Hall, 2002. "Foreign exchange market efficiency and cointegration," Applied Financial Economics, Taylor & Francis Journals, vol. 12(2), pages 131-139.
  12. Rapp, Tammy A. & Sharma, Subhash C., 1999. "Exchange rate market efficiency: across and within countries," Journal of Economics and Business, Elsevier, vol. 51(5), pages 423-439, September.
  13. Jeremy Berkowitz & Lorenzo Giorgianni, 2001. "Long-Horizon Exchange Rate Predictability?," The Review of Economics and Statistics, MIT Press, vol. 83(1), pages 81-91, February.
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Cited by:
  1. Ciner, Cetin, 2011. "Information transmission across currency futures markets: Evidence from frequency domain tests," International Review of Financial Analysis, Elsevier, vol. 20(3), pages 134-139, June.

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