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Bayesian Soft Target Zones

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  • Forbes, C.S.
  • Kofman, P.

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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File URL: http://www.buseco.monash.edu.au/ebs/pubs/wpapers/2000/wp4-00.pdf
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Bibliographic Info

Paper provided by Monash University, Department of Econometrics and Business Statistics in its series Monash Econometrics and Business Statistics Working Papers with number 4/00.

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Length: 23 pages
Date of creation: Apr 2000
Date of revision:
Handle: RePEc:msh:ebswps:2000-4

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Related research

Keywords: Bayesian estimation; griddy-Gibbs sampler; credible target zones; soft margins; European Monetary System;

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References

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  1. Krugman, Paul R, 1991. "Target Zones and Exchange Rate Dynamics," The Quarterly Journal of Economics, MIT Press, vol. 106(3), pages 669-82, August.
  2. Bekaert, G.R.J. & Gray, S.F., 1997. "Target zones and exchange rates: An empirical investigation," Discussion Paper 1997-22, Tilburg University, Center for Economic Research.
  3. 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.
  4. Jacob A. Frenkel & Morris Goldstein, 1986. "A Guide to Target Zones," NBER Working Papers 2113, National Bureau of Economic Research, Inc.
  5. Marcus Miller & Paul Weller, 1991. "Currency Bands, Target Zones, and Price Flexibility," IMF Staff Papers, Palgrave Macmillan, vol. 38(1), pages 184-215, March.
  6. 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.
  7. 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.
  8. Wren-Lewis, Simon, 1997. "The Choice of Exchange Rate Regime," Economic Journal, Royal Economic Society, vol. 107(443), pages 1157-68, July.
  9. 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.
  10. 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.
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Citations

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Cited by:
  1. Oleg Korenok & Stanislav Radchenko, 2005. "The smooth transition autoregressive target zone model with the Gaussian stochastic volatility and TGARCH error terms with applications," Econometrics 0508015, EconWPA.
  2. Jes�s Rodríguez López & Hugo Rodríguez Mendizábal, 2007. "The Optimal Degree of Exchange Rate Flexibility: a Target Zone Approach," Review of International Economics, Wiley Blackwell, vol. 15(4), pages 803-822, 09.
  3. Oleg Korenok & Stanislav Radchenko, 2005. "Expectations Anchoring in Inflation Targeting Regimes," Working Papers 0503, VCU School of Business, 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.
  5. Lundbergh, Stefan & Terasvirta, Timo, 2006. "A time series model for an exchange rate in a target zone with applications," Journal of Econometrics, Elsevier, vol. 131(1-2), pages 579-609.

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