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Bayesian Target Zones

Author

Listed:
  • Catherine S. Forbes

    (Monash University)

  • Paul Kofman

    (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.

Suggested Citation

  • Catherine S. Forbes & Paul Kofman, 2000. "Bayesian Target Zones," Research Paper Series 32, Quantitative Finance Research Centre, University of Technology, Sydney.
  • Handle: RePEc:uts:rpaper:32
    as

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    References listed on IDEAS

    as
    1. 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.
    2. Bekaert, Geert & Gray, Stephen F., 1998. "Target zones and exchange rates:: An empirical investigation," Journal of International Economics, Elsevier, vol. 45(1), pages 1-35, June.
    3. Marcus Miller & Paul Weller, 1991. "Currency Bands, Target Zones, and Price Flexibility," IMF Staff Papers, Palgrave Macmillan, vol. 38(1), pages 184-215, March.
    4. 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.
    5. 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.
    6. Paul R. Krugman, 1991. "Target Zones and Exchange Rate Dynamics," The Quarterly Journal of Economics, Oxford University Press, vol. 106(3), pages 669-682.
    7. 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.
    8. 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. Jesús 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, September.
    2. Oleg Korenok & Stanislav Radchenko, 2005. "Expectations Anchoring in Inflation Targeting Regimes," Working Papers 0503, VCU School of Business, Department of Economics.
    3. 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.
    4. Theis Lange, 2009. "First and second order non-linear cointegration models," CREATES Research Papers 2009-04, Department of Economics and Business Economics, Aarhus University.

    More about this item

    Keywords

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

    JEL classification:

    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • F31 - International Economics - - International Finance - - - Foreign Exchange
    • F33 - International Economics - - International Finance - - - International Monetary Arrangements and Institutions

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