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Exchange Rate Mean Reversion within a Target Zone: Evidence from a Country on the Periphery of the ERM

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Listed:
  • António Portugal Duarte

    (Faculdade de Economia/GEMF, Universidade de Coimbra)

  • João Sousa Andrade

    (Faculdade de Economia/GEMF, Universidade de Coimbra)

  • Adelaide Duarte

    (Faculdade de Economia/GEMF, Universidade de Coimbra)

Abstract

The aim of this study is to assess to what extent the Portuguese participation in the European Monetary System (EMS) has been characterized by mean reverting behaviour, as predicted by the exchange rate target zone model developed by Krugman (1991). For this purpose, a new class of mean reversion tests is introduced. The empirical analysis of mean reversion in the Portuguese exchange rate shows that most of the traditional unit root and stationarity tests point to the nonstationarity of the exchange rate within the band. However, using a set of variance-ratio tests, it was possible to detect the presence of a martingale difference sequence. This suggests that the Portuguese foreign exchange market has functioned efficiently, allowing us to conclude that the adoption of an exchange rate target zone regime has contributed decisively to the creation of the macroeconomic stability conditions necessary for the participation of Portugal in the euro area.

Suggested Citation

  • António Portugal Duarte & João Sousa Andrade & Adelaide Duarte, 2009. "Exchange Rate Mean Reversion within a Target Zone: Evidence from a Country on the Periphery of the ERM," GEMF Working Papers 2009-15, GEMF, Faculty of Economics, University of Coimbra.
  • Handle: RePEc:gmf:wpaper:2009-15
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    References listed on IDEAS

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    Cited by:

    1. António Portugal Duarte & João Sousa Andrade & Adelaide Duarte, 2013. "Exchange Rate Target Zones: A Survey Of The Literature," Journal of Economic Surveys, Wiley Blackwell, vol. 27(2), pages 247-268, April.
    2. Kevin C. Chua, 2018. "A Model Of Inflation Transmission In An Exchange Rate Target Zone," Bulletin of Economic Research, Wiley Blackwell, vol. 70(3), pages 285-297, July.
    3. António Portugal Duarte & João Sousa Andrade & Adelaide Duarte, 2012. "Is There a Trade-off between Exchange Rate and Interest Rate Volatility? Evidence from an M-GARCH Model," International Journal of Economic Sciences, Prague University of Economics and Business, vol. 2012(1), pages 19-37.

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    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • F31 - International Economics - - International Finance - - - Foreign Exchange
    • F41 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - Open Economy Macroeconomics
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

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