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Exchange Rates Dynamics in a Target Zone – A Heterogeneous Expectations Approach

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  • Christian Bauer
  • Paul De Grauwe
  • Stefan Reitz

Abstract

The target zone model of Krugman (1991) has failed empirically. In this paper, we develop a model of the exchange rate with heterogeneous agents in a free floating and a target zone regime. We show that this simple model mimics the empirical puzzles of exchange rates: excessive volatility, fat tails, volatility clustering, and disconnection from the fundamentals. In addition, the target zone regime replicates a reduced nominal volatility for the same level of fundamental volatility as in the free floating regime and the distribution of the exchange rate within the band is hump-shaped.

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File URL: http://www.cesifo-group.de/portal/page/portal/DocBase_Content/WP/WP-CESifo_Working_Papers/wp-cesifo-2007/wp-cesifo-2007-08/cesifo1_wp2080.pdf
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Bibliographic Info

Paper provided by CESifo Group Munich in its series CESifo Working Paper Series with number 2080.

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Date of creation: 2007
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Handle: RePEc:ces:ceswps:_2080

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Keywords: exchange rate; heterogeneous agents; target zones;

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Cited by:
  1. Dieci, Roberto & Westerhoff, Frank, 2009. "A simple model of a speculative housing market," BERG Working Paper Series 62, Bamberg University, Bamberg Economic Research Group.
  2. Reitz, Stefan & Rülke, Jan & Stadtmann, Georg, 2012. "Nonlinear Expectations in Speculative Markets," Annual Conference 2012 (Goettingen): New Approaches and Challenges for the Labor Market of the 21st Century 62045, Verein für Socialpolitik / German Economic Association.
  3. Dieci, Roberto & Westerhoff, Frank, 2010. "Heterogeneous speculators, endogenous fluctuations and interacting markets: A model of stock prices and exchange rates," Journal of Economic Dynamics and Control, Elsevier, vol. 34(4), pages 743-764, April.
  4. Hommes, C.H., 2010. "The Heterogeneous Expectations Hypothesis: Some Evidence from the Lab," CeNDEF Working Papers 10-06, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
  5. Reitz, Stefan & Rülke, Jan-Christoph & Stadtmann, Georg, 2012. "Nonlinear expectations in speculative markets – Evidence from the ECB survey of professional forecasters," Journal of Economic Dynamics and Control, Elsevier, vol. 36(9), pages 1349-1363.
  6. Dick, Christian D. & Menkhoff, Lukas, 2013. "Exchange rate expectations of chartists and fundamentalists," Journal of Economic Dynamics and Control, Elsevier, vol. 37(7), pages 1362-1383.
  7. Lee, Hsiu-Yun, 2011. "Nonlinear exchange rate dynamics under stochastic official intervention," Economic Modelling, Elsevier, vol. 28(4), pages 1510-1518, July.
  8. Barunik, J. & Vosvrda, M., 2009. "Can a stochastic cusp catastrophe model explain stock market crashes?," Journal of Economic Dynamics and Control, Elsevier, vol. 33(10), pages 1824-1836, October.
  9. António Portugal Duarte & João Sousa Andrade & Adelaide Duarte, 2010. "Exchange Rate and Interest Rate Distribution and Volatility under the Portuguese Target Zone," Panoeconomicus, Savez ekonomista Vojvodine, Novi Sad, Serbia, vol. 57(3), pages 261-282, September.
  10. António Portugal Duarte & João Sousa Andrade & Adelaide Duarte, 2010. "Exchange Rate Target Zones: A Survey of the Literature," GEMF Working Papers 2010-14, GEMF - Faculdade de Economia, Universidade de Coimbra.
  11. Miller, J. Isaac, 2011. "Testing the bounds: Empirical behavior of target zone fundamentals," Economic Modelling, Elsevier, vol. 28(4), pages 1782-1792, July.
  12. Grosche, Stephanie & Heckelei, Thomas, 2014. "Price dynamics and financialization effects in corn futures markets with heterogeneous traders," Discussion Papers 172077, University of Bonn, Institute for Food and Resource Economics.
  13. Antony Jackson & Daniel Ladley, 2013. "Market Ecologies: The Interaction and Profitability of Technical Trading Strategies," Discussion Papers in Economics 13/02, Department of Economics, University of Leicester.

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