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Bayesian Target Zones

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  • Catherine S. Forbes
  • Paul Kofman

    (Department of Finance, University of Melbourne)

Abstract

Several authors have postulated econometric models for exchange rates restricted to lie within known target zones. However, it is not uncommon to observe exchange rate data with known limits that are not fully 'credible'; that is, where some of the observations fall outside the stated range. An empirical model for exchange rates in a soft target zone where there is a controlled probability of the observed rates exceeding the stated limits is developed in this paper. A Bayesian approach is used to analyse the model, which is then demonstrated on Deutschemark-French franc and ECU-French franc exchange rate data.

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Bibliographic Info

Paper provided by Quantitative Finance Research Centre, University of Technology, Sydney in its series Research Paper Series with number 32.

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Date of creation: 01 Mar 2000
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Handle: RePEc:uts:rpaper:32

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Keywords: bayesian estimation; griddy-Gibbs sampler; credible target zones; soft margins; european monetary system;

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References

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  1. Kofman, Paul & de Vaal, Albert & de Vries, Casper G., 1993. "Fixing soft margins," Journal of International Economics, Elsevier, vol. 34(3-4), pages 359-374, May.
  2. Mizrach, Bruce, 1995. "Target zone models with stochastic realignments: an econometric evaluation," Journal of International Money and Finance, Elsevier, vol. 14(5), pages 641-657, October.
  3. Geert Bekaert & Stephen F. Gray, 1999. "Target Zones and Exchange Rates: An Empirical Investigation," NBER Working Papers 5445, National Bureau of Economic Research, Inc.
  4. Krugman, Paul R, 1991. "Target Zones and Exchange Rate Dynamics," The Quarterly Journal of Economics, MIT Press, vol. 106(3), pages 669-82, August.
  5. Kees G. Koedijk & Philip A. Stork & Casper G. De Vries, 1998. "An EMS target zone model in discrete time," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 13(1), pages 31-48.
  6. Honohan, Patrick, 1998. "A pitfall in computing exchange rate density in the EMS band," Journal of International Money and Finance, Elsevier, vol. 17(5), pages 839-853, October.
  7. Marcus Miller & Paul Weller, 1991. "Currency Bands, Target Zones, and Price Flexibility," IMF Staff Papers, Palgrave Macmillan, vol. 38(1), pages 184-215, March.
  8. Alejandro M. Werner, 1996. "Target Zones and Realignment Expectations: The Israeli and Mexican Experiences," IMF Staff Papers, Palgrave Macmillan, vol. 43(3), pages 571-586, September.
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Cited by:
  1. Lundbergh, Stefan & Teräsvirta, Timo, 2003. "A time series model for an exchange rate in a target zone with applications," Working Paper Series in Economics and Finance 533, Stockholm School of Economics.
  2. Oleg Korenok & Stanislav Radchenko, 2005. "Expectations Anchoring in Inflation Targeting Regimes," Working Papers 0503, VCU School of Business, Department of Economics.
  3. Jesús Rodríguez López & Hugo Rodríguez Mendizábal, 2006. "The optimal degree of exchange rate flexibility: A target zone approach," Working Papers 06.22, Universidad Pablo de Olavide, Department of Economics.
  4. Theis Lange, 2009. "First and second order non-linear cointegration models," CREATES Research Papers 2009-04, School of Economics and Management, University of Aarhus.

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