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Exchange Rate Regimes and Volatility: Comparison of the Snake and Visegrad

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Author Info
Juraj Valachy ()
Evžen Ko?enda ()

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Abstract

Exchange rate stability was defined as one of the prerequisites for monetary integration in Europe. In this paper, we analyze recent developments in the volatility of exchange rates of the Central European countries (the Visegrad Group) and a selected group of European Union countries (the Snake) participating in the former European Monetary System. We compare volatilities in the currencies of both groups under specific exchange rate regimes using two different approaches to modeling exchange rate volatility: squared returns parametric model and GARCH. Both methods provide identical results for the currencies of the Visegrad group: an increase in volatility after a floating exchange rate regime was introduced. The case of the Snake countries exhibits mixed results for two currencies and a concurring result for the others: a decrease in volatility. In one case we are left with an insignificant coefficient. We consider the results as robust and suitable for policy making decisions.

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Paper provided by William Davidson Institute at the University of Michigan Stephen M. Ross Business School in its series William Davidson Institute Working Papers Series with number 2003-622.

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Length: 32 pages
Date of creation: 01 Oct 2003
Date of revision:
Handle: RePEc:wdi:papers:2003-622

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Related research
Keywords: exchange rate regime; volatility; transition; integration; Central Europe; European Union; nonlinearity; interest rate parity;

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Find related papers by JEL classification:
C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Semiparametric and Nonparametric Methods
C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions
C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
E43 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Determination of Interest Rates; Term Structure of Interest Rates
F31 - International Economics - - International Finance - - - Foreign Exchange
F33 - International Economics - - International Finance - - - International Monetary Arrangements and Institutions
F36 - International Economics - - International Finance - - - Financial Aspects of Economic Integration
P59 - Economic Systems - - Comparative Economic Systems - - - Other

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Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
  1. Andersen T. G & Bollerslev T. & Diebold F. X & Labys P., 2001. "The Distribution of Realized Exchange Rate Volatility," Journal of the American Statistical Association, American Statistical Association, vol. 96, pages 42-55, March. [Downloadable!] (restricted)
  2. Juan Ayuso & M.P. Jurado & Fernando Restoy, 1994. "Is Exchange Rate Risk Higher in the E.R.M. after the Widening of Fluctuation Bands?," Banco de España Working Papers 9419, Banco de España.
  3. Baillie, Richard T. & Bollerslev, Tim, 2000. "The forward premium anomaly is not as bad as you think," Journal of International Money and Finance, Elsevier, vol. 19(4), pages 471-488, August. [Downloadable!] (restricted)
  4. E.K. Berndt & B.H. Hall & R.E. Hall, 1974. "Estimation and Inference in Nonlinear Structural Models," NBER Chapters, in: Annals of Economic and Social Measurement, Volume 3, number 4, pages 103-116 National Bureau of Economic Research, Inc. [Downloadable!]
  5. Juan Ayuso & M.P. Jurado & Fernando Restoy, 1994. "Is Exchange Rate Risk Higher in the E.R.M. after the Widening of Fluctuation Bands?," Banco de España Working Papers 9419, Banco de España.
  6. Bansal, Ravi & Dahlquist, Magnus, 2000. "The forward premium puzzle: different tales from developed and emerging economies," Journal of International Economics, Elsevier, vol. 51(1), pages 115-144, June. [Downloadable!] (restricted)
  7. Andrea Brasili & Bruno Sitzia, 2003. "Risk Related Non Linearities in Exchange Rates: Evidence from a Panel of Central and Eastern European Countries," Open Economies Review, Springer, vol. 14(2), pages 135-155, April. [Downloadable!] (restricted)
  8. Bollerslev, Tim, 1986. "Generalized autoregressive conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 31(3), pages 307-327, April. [Downloadable!] (restricted)
  9. Ait-Sahalia, Yacine, 1996. "Testing Continuous-Time Models of the Spot Interest Rate," Review of Financial Studies, Oxford University Press for Society for Financial Studies, vol. 9(2), pages 385-426. [Downloadable!] (restricted)
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Cited by:
(explanations, Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.)

  1. Lucjan T. Orlowski, 2005. "Targeting Relative Inflation Forecast as Monetary Policy Framework for Adopting the Euro," William Davidson Institute Working Papers Series wp754, William Davidson Institute at the University of Michigan Stephen M. Ross Business School. [Downloadable!]
  2. Dipankor Coondoo & Paramita Mukherjee, 2004. "Components of volatility and their empirical measures: a note," Applied Financial Economics, Taylor and Francis Journals, vol. 14(18), pages 1313-1318, December. [Downloadable!] (restricted)
  3. Lucjan T Orlowski, 2005. "Exchange Rate Risk and Convergence to the Euro," Macroeconomics 0501034, EconWPA. [Downloadable!]
  4. Balazs Egert & Evzen Kocenda, 2005. "Contagion Across and Integration of Central and Eastern European Stock Markets: Evidence from Intraday Data," William Davidson Institute Working Papers Series wp798, William Davidson Institute at the University of Michigan Stephen M. Ross Business School. [Downloadable!]
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