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Modelling the FF/MM rate by threshold cointegration analysis

  • Mustapha Baghli
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    This paper investigates a sticky-price model of exchange rate determination: extension of Krugman's target zone model with price inertia applied to the French Franc. A novel theoretical argument is considered, Threshold Cointegration, such that the long-run relationship between the parity and its fundamentals is dormant within a certain range of disequilibria but is restored when the system crosses the boundaries. Over the period 1987-1993, nonlinearities in the FF/DM rate, consistent with the credibility of this target zone, were detected by pointing out a band-reversion mechanism. A shock persistence analysis which highlights a nonlinear reversion of the exchange-rate deviation is also implemented.

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    File URL: http://www.tandfonline.com/doi/abs/10.1080/0003684042000217580
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    Article provided by Taylor & Francis Journals in its journal Applied Economics.

    Volume (Year): 36 (2004)
    Issue (Month): 6 ()
    Pages: 533-548

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    Handle: RePEc:taf:applec:v:36:y:2004:i:6:p:533-548
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    1. Simon M. Potter, 1993. "A Nonlinear Approach to U.S. GNP," UCLA Economics Working Papers 693, UCLA Department of Economics.
    2. Bertola, Giuseppe & Caballero, Ricardo J, 1992. "Target Zones and Realignments," American Economic Review, American Economic Association, vol. 82(3), pages 520-36, June.
    3. Granger, Clive W J, 1995. "Modelling Nonlinear Relationships between Extended-Memory Variables," Econometrica, Econometric Society, vol. 63(2), pages 265-79, March.
    4. Beetsma, Roel M W J & van der Ploeg, Frederick, 1994. "Intramarginal Interventions, Bands and the Pattern of EMS Exchange Rate Distributions," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 35(3), pages 583-602, August.
    5. Kwiatkowski, D. & Phillips, P.C.B. & Schmidt, P., 1990. "Testing the Null Hypothesis of Stationarity Against the Alternative of Unit Root : How Sure are we that Economic Time Series have a Unit Root?," Papers 8905, Michigan State - Econometrics and Economic Theory.
    6. Meese, Richard A & Rose, Andrew K, 1990. "Nonlinear, Nonparametric, Nonessential Exchange Rate Estimation," American Economic Review, American Economic Association, vol. 80(2), pages 192-96, May.
    7. Kitamura, Yuichi & Phillips, Peter C.B., 1995. "Efficient IV Estimation in Nonstationary Regression," Econometric Theory, Cambridge University Press, vol. 11(05), pages 1095-1130, October.
    8. Bruce E. Hansen, 1996. "Sample Splitting and Threshold Estimation," Boston College Working Papers in Economics 319., Boston College Department of Economics, revised 12 May 1998.
    9. Andrews, Donald W K, 1991. "Heteroskedasticity and Autocorrelation Consistent Covariance Matrix Estimation," Econometrica, Econometric Society, vol. 59(3), pages 817-58, May.
    10. Geert Bekaert & Stephen F. Gray, 1999. "Target Zones and Exchange Rates: An Empirical Investigation," NBER Working Papers 5445, National Bureau of Economic Research, Inc.
    11. Flood, Robert P. & Rose, Andrew K. & Mathieson, Donald J., 1991. "An empirical exploration of exchange-rate target-zones," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 35(1), pages 7-65, January.
    12. Yuichi Kitamura & Peter C.B. Phillips, 1994. "Fully Modified IV, GIVE and GMM Estimation with Possibly Non-Stationary Regressions and Instruments," Cowles Foundation Discussion Papers 1082, Cowles Foundation for Research in Economics, Yale University.
    13. 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.
    14. Miller M. & Weller, P., 1990. "Exchange Rate Bands With Price Inertia," The Warwick Economics Research Paper Series (TWERPS) 337, University of Warwick, Department of Economics.
    15. Nathan S. Balke & Thomas B. Fomby, 1992. "Threshold cointegration," Research Paper 9209, Federal Reserve Bank of Dallas.
      • Balke, Nathan S & Fomby, Thomas B, 1997. "Threshold Cointegration," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 38(3), pages 627-45, August.
    16. Richard A. Meese & Andrew K. Rose, 1989. "An empirical assessment of non-linearities in models of exchange rate determination," International Finance Discussion Papers 367, Board of Governors of the Federal Reserve System (U.S.).
    17. Peter C.B. Phillips & Bruce E. Hansen, 1988. "Statistical Inference in Instrumental Variables," Cowles Foundation Discussion Papers 869R, Cowles Foundation for Research in Economics, Yale University, revised Apr 1989.
    18. Koop, Gary & Pesaran, M. Hashem & Potter, Simon M., 1996. "Impulse response analysis in nonlinear multivariate models," Journal of Econometrics, Elsevier, vol. 74(1), pages 119-147, September.
    19. Paul Krugman & Marcus Miller, 1992. "Exchange Rate Targets and Currency Bands," NBER Books, National Bureau of Economic Research, Inc, number krug92-1, August.
    20. Phillips, Peter C B & Hansen, Bruce E, 1990. "Statistical Inference in Instrumental Variables Regression with I(1) Processes," Review of Economic Studies, Wiley Blackwell, vol. 57(1), pages 99-125, January.
    21. Martin Martens & Paul Kofman & Ton C. F. Vorst, 1998. "A threshold error-correction model for intraday futures and index returns," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 13(3), pages 245-263.
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