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A Currency Board Model of Hong Kong

  • Yue Ma

    (Lingnan University)

  • Guy Meredith

    (International Monetary Fund)

  • Matthew S. Yiu

    (Hong Kong INstitute for Monetary Research)

Registered author(s):

The need for a deeper understanding of the operation of Hong Kong's currency board arrangements was highlighted during the Asian financial crisis in 1998. A model-based approach built on hypothetical stochastic simulations would be useful for this purpose. This paper develops a new procedure of implementing stochastic simulations in a currency board model for Hong Kong. Our new procedure is useful in the context of a nonlinear model with forward-looking expectations under conditions of noncertainty-equivalence, such as the model of Hong Kong's currency board. A simple target-zone model of the exchange rate is used as an example to illustrate the difference between our new simulation procedure and existing procedures in the literature. Finally, the new procedure is applied to the currency board model to investigate the stochastic properties of endogenous variables under a wide range of shocks.

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Paper provided by Hong Kong Institute for Monetary Research in its series Working Papers with number 012002.

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Length: 29 pages
Date of creation: Jan 2002
Date of revision:
Handle: RePEc:hkm:wpaper:012002
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  1. Paul R. Krugman, 1988. "Target Zones and Exchange Rate Dynamics," NBER Working Papers 2481, National Bureau of Economic Research, Inc.
  2. McCallum, Bennett T., 1983. "On non-uniqueness in rational expectations models : An attempt at perspective," Journal of Monetary Economics, Elsevier, vol. 11(2), pages 139-168.
  3. Robert J. Barro & N. Gregory Mankiw & Xavier Sala-i-Martin, 1994. "Capital mobility in Neoclassical models of growth," Economics Working Papers 82, Department of Economics and Business, Universitat Pompeu Fabra.
  4. Rose, Colin, 1995. "A statistical identity linking folded and censored distributions," Journal of Economic Dynamics and Control, Elsevier, vol. 19(8), pages 1391-1403, November.
  5. Ma, Yue, 1992. "Policy Measurement for the Dynamic Linear Model with Expectations Variables: A Multiplier Approach," Computer Science in Economics & Management, Society for Computational Economics, vol. 5(4), pages 303-12, November.
  6. Ray C. Fair & John B. Taylor, 1989. "Full Information Estimation and Stochastic Simulation of Models with Rational Expectations," Cowles Foundation Discussion Papers 921, Cowles Foundation for Research in Economics, Yale University.
  7. Ray C. Fair & John B. Taylor, 1980. "Solution and Maximum Likelihood Estimation of Dynamic Nonlinear RationalExpectations Models," NBER Technical Working Papers 0005, National Bureau of Economic Research, Inc.
  8. Ma, Yue & Kanas, Angelos, 2000. "Testing for a nonlinear relationship among fundamentals and exchange rates in the ERM," Journal of International Money and Finance, Elsevier, vol. 19(1), pages 135-152, February.
  9. John Y. Campbell, 1992. "Inspecting the Mechanism: An Analytical Approach to the Stochastic Growth Model," NBER Working Papers 4188, National Bureau of Economic Research, Inc.
  10. Meese, Richard A. & Rogoff, Kenneth, 1983. "Empirical exchange rate models of the seventies : Do they fit out of sample?," Journal of International Economics, Elsevier, vol. 14(1-2), pages 3-24, February.
  11. Blanchard, Olivier Jean & Kahn, Charles M, 1980. "The Solution of Linear Difference Models under Rational Expectations," Econometrica, Econometric Society, vol. 48(5), pages 1305-11, July.
  12. Bennett T. McCallum, 1998. "Solutions to Linear Rational Expectations Models: A Compact Exposition," NBER Technical Working Papers 0232, National Bureau of Economic Research, Inc.
  13. King, Robert G. & Plosser, Charles I. & Rebelo, Sergio T., 1988. "Production, growth and business cycles : I. The basic neoclassical model," Journal of Monetary Economics, Elsevier, vol. 21(2-3), pages 195-232.
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