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Exploring long memory and nonlinearity in Irish real exchange Rates using tests based on semiparametric estimation

Author

Listed:
  • D. (Derek) Bond
  • Michael J. Harrison
  • Edward J. (Edward Joseph) O'Brien

Abstract

Deciding whether a time series that appears nonstationary is in fact fractionally integrated or subject to structural change is a diffcult task. However, various tests have recently been introduced for distinguishing long memory from level shifts and nonlinearity. In this paper, three testing approaches based on the properties of semiparametric estimators of the fractional differencing parameter, d, are described and applied to the (log) Ireland-United Kingdom and Ireland-Germany real exchange rates. The two exchange rates behave quite differently over time and the new tests give different results for each; but overall the results provide fairly strong support for the possibility of nonlinearity rather than long memory.

Suggested Citation

  • D. (Derek) Bond & Michael J. Harrison & Edward J. (Edward Joseph) O'Brien, 2009. "Exploring long memory and nonlinearity in Irish real exchange Rates using tests based on semiparametric estimation," Working Papers 200901, School of Economics, University College Dublin.
  • Handle: RePEc:ucn:wpaper:200901
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    File URL: http://hdl.handle.net/10197/1322
    File Function: First version, 2009
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    References listed on IDEAS

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    3. Taylor, Alan M, 2001. "Potential Pitfalls for the Purchasing-Power-Parity Puzzle? Sampling and Specification Biases in Mean-Reversion Tests of the Law of One Price," Econometrica, Econometric Society, vol. 69(2), pages 473-498, March.
    4. Alex Maynard, 2006. "The forward premium anomaly: statistical artefact or economic puzzle? New evidence from robust tests," Canadian Journal of Economics, Canadian Economics Association, vol. 39(4), pages 1244-1281, November.
    5. Kwiatkowski, Denis & Phillips, Peter C. B. & Schmidt, Peter & Shin, Yongcheol, 1992. "Testing the null hypothesis of stationarity against the alternative of a unit root : How sure are we that economic time series have a unit root?," Journal of Econometrics, Elsevier, vol. 54(1-3), pages 159-178.
    6. Katsumi Shimotsu, 2006. "Simple (but effective) tests of long memory versus structural breaks," Working Papers 1101, Queen's University, Department of Economics.
    7. Smith, Aaron, 2005. "Level Shifts and the Illusion of Long Memory in Economic Time Series," Journal of Business & Economic Statistics, American Statistical Association, vol. 23, pages 321-335, July.
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    12. Gourieroux, Christian & Jasiak, Joann, 2001. "Memory and infrequent breaks," Economics Letters, Elsevier, vol. 70(1), pages 29-41, January.
    13. D. (Derek) Bond & Michael J. Harrison & Edward J. (Edward Joseph) O'Brien, 2007. "Modelling Ireland’s exchange rates : from EMS to EMU," Working Papers 200718, School of Economics, University College Dublin.
    14. Dahl, Christian M. & Gonzalez-Rivera, Gloria, 2003. "Testing for neglected nonlinearity in regression models based on the theory of random fields," Journal of Econometrics, Elsevier, vol. 114(1), pages 141-164, May.
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    Cited by:

    1. Burcu Kıran, 2012. "Nonlinearity and Fractional Integration in the US Dollar/Euro Exchange Rate," Panoeconomicus, Savez ekonomista Vojvodine, Novi Sad, Serbia, vol. 59(3), pages 325-334, June.

    More about this item

    Keywords

    Fractional integration; Long memory; Nonlinearity; Real exchange rates; Structural change; Time-series analysis; Foreign exchange rates--Econometric models; Nonlinear theories;

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • F31 - International Economics - - International Finance - - - Foreign Exchange
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation

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