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A re-examination of the fragility of evidence from cointegration-based tests of foreign exchange market efficiency

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  • John Barkoulas
  • Christopher Baum

Abstract

We re-examine Sephton and Larsen's (1991) conclusion that cointegration-based tests for market efficiency suffer from temporal instability. We improve upon their research by i) including a drift term in the vector error correction model (VECM) in the Johansen procedure, ii) correcting the likelihood ratio test statistic for finite-sample bias, and iii) fitting the model over longer data sets. We show that instability of the Johansen cointegration tests mostly disappears after accounting for these two factors. The evidence is even more stable in favour of no cointegration when we apply our analysis to longer data sets

Suggested Citation

  • John Barkoulas & Christopher Baum, 1997. "A re-examination of the fragility of evidence from cointegration-based tests of foreign exchange market efficiency," Applied Financial Economics, Taylor & Francis Journals, vol. 7(6), pages 635-643.
  • Handle: RePEc:taf:apfiec:v:7:y:1997:i:6:p:635-643
    DOI: 10.1080/758533855
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    References listed on IDEAS

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    1. Hakkio, Craig S. & Rush, Mark, 1991. "Cointegration: how short is the long run?," Journal of International Money and Finance, Elsevier, vol. 10(4), pages 571-581, December.
    2. Baillie, Richard T & Bollerslev, Tim, 1989. " Common Stochastic Trends in a System of Exchange Rates," Journal of Finance, American Finance Association, vol. 44(1), pages 167-181, March.
    3. Dickey, David A & Fuller, Wayne A, 1981. "Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root," Econometrica, Econometric Society, vol. 49(4), pages 1057-1072, June.
    4. Johansen, Soren & Juselius, Katarina, 1990. "Maximum Likelihood Estimation and Inference on Cointegration--With Applications to the Demand for Money," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 52(2), pages 169-210, May.
    5. Baillie, Richard T & Bollerslev, Tim, 1994. " Cointegration, Fractional Cointegration, and Exchange Rate Dynamics," Journal of Finance, American Finance Association, vol. 49(2), pages 737-745, June.
    6. Sephton, Peter S. & Larsen, Hans K., 1991. "Tests of exchange market efficiency: fragile evidence from cointegration tests," Journal of International Money and Finance, Elsevier, vol. 10(4), pages 561-570, December.
    7. Osterwald-Lenum, Michael, 1992. "A Note with Quantiles of the Asymptotic Distribution of the Maximum Likelihood Cointegration Rank Test Statistics," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 54(3), pages 461-472, August.
    8. Bossaerts, Peter, 1988. "Common nonstationary components of asset prices," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 347-364.
    9. Engle, Robert & Granger, Clive, 2015. "Co-integration and error correction: Representation, estimation, and testing," Applied Econometrics, Publishing House "SINERGIA PRESS", vol. 39(3), pages 106-135.
    10. Sephton, Peter S, 1994. "Cointegration Tests on MARS," Computational Economics, Springer;Society for Computational Economics, vol. 7(1), pages 23-35, February.
    11. Dwyer, Gerald Jr. & Wallace, Myles S., 1992. "Cointegration and market efficiency," Journal of International Money and Finance, Elsevier, vol. 11(4), pages 318-327, August.
    12. Cerchi, Marlene & Havenner, Arthur, 1988. "Cointegration and stock prices : The random walk on wall street revisited," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 333-346.
    13. Cheung, Yin-Wong & Lai, Kon S, 1993. "Finite-Sample Sizes of Johansen's Likelihood Ration Tests for Conintegration," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 55(3), pages 313-328, August.
    14. Diebold, Francis X & Gardeazabal, Javier & Yilmaz, Kamil, 1994. " On Cointegration and Exchange Rate Dynamics," Journal of Finance, American Finance Association, vol. 49(2), pages 727-735, June.
    15. Johansen, Soren, 1988. "Statistical analysis of cointegration vectors," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 231-254.
    16. Craig S. Hakkio & Mark Rush, 1987. "Market efficiency and cointegration," Research Working Paper 87-05, Federal Reserve Bank of Kansas City.
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    Cited by:

    1. Jérôme Héricourt & Julien Reynaud, 2006. "La crise monétaire turque de 2000/2001 : analyse de l'échec du plan de stabilisation par le change du FMI," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00084717, HAL.
    2. Angela Black & David McMillan, 2004. "Long run trends and volatility spillovers in daily exchange rates," Applied Financial Economics, Taylor & Francis Journals, vol. 14(12), pages 895-907.
    3. Eric Zivot, 1998. "Cointegration and Forward and Spot Exchange Rate Regressions," Econometrics 9812001, University Library of Munich, Germany.
    4. Mulligan, Robert F. & Koppl, Roger, 2011. "Monetary policy regimes in macroeconomic data: An application of fractal analysis," The Quarterly Review of Economics and Finance, Elsevier, vol. 51(2), pages 201-211, May.
    5. Heejoon Kang, 1999. "The Applied Cointegration Analysis for the Open Economy: A Critical Review," Open Economies Review, Springer, vol. 10(3), pages 325-346, July.
    6. David McMillan, 2005. "Cointegrating behaviour between spot and forward exchange rates," Applied Financial Economics, Taylor & Francis Journals, vol. 15(16), pages 1135-1144.
    7. Macide Cicek, 2014. "A Cointegration Test for Turkish Foreign Exchange Market Efficiency," Asian Economic and Financial Review, Asian Economic and Social Society, vol. 4(4), pages 451-471, April.
    8. Mulligan, Robert F., 2004. "Fractal analysis of highly volatile markets: an application to technology equities," The Quarterly Review of Economics and Finance, Elsevier, vol. 44(1), pages 155-179, February.
    9. Kühl, Michael, 2007. "Cointegration in the foreign exchange market and market efficiency since the introduction of the Euro: Evidence based on bivariate cointegration analyses," Center for European, Governance and Economic Development Research Discussion Papers 68, University of Goettingen, Department of Economics.
    10. Mulligan, Robert F. & Lombardo, Gary A., 2004. "Maritime businesses: volatile stock prices and market valuation inefficiencies," The Quarterly Review of Economics and Finance, Elsevier, vol. 44(2), pages 321-336, May.
    11. repec:spr:empeco:v:53:y:2017:i:2:d:10.1007_s00181-016-1127-z is not listed on IDEAS
    12. Alan Speight & David McMillan, 2001. "Cointegration and predictability in prereform east European black-market exchange rates," Applied Economics Letters, Taylor & Francis Journals, vol. 8(12), pages 755-759.
    13. Zivot, Eric, 2000. "Cointegration and forward and spot exchange rate regressions," Journal of International Money and Finance, Elsevier, vol. 19(6), pages 785-812, December.
    14. Dimpfl, Thomas, 2014. "A note on cointegration of international stock market indices," International Review of Financial Analysis, Elsevier, vol. 33(C), pages 10-16.
    15. repec:got:cegedp:68 is not listed on IDEAS
    16. Kühl, Michael, 2010. "Bivariate cointegration of major exchange rates, cross-market efficiency and the introduction of the Euro," Journal of Economics and Business, Elsevier, vol. 62(1), pages 1-19, January.
    17. Kim, Jeong-Ryeol, 2002. "The stable long-run CAPM and the cross-section of expected returns," Discussion Paper Series 1: Economic Studies 2002,05, Deutsche Bundesbank.

    More about this item

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • F31 - International Economics - - International Finance - - - Foreign Exchange

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