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What Can We Learn About the Real Exchange Rate Behavior in the Case of a Peripheral Country?

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  • Zied Ftiti

    (OCRE-Laboratory
    ISG Tunis, LR GEF-2A)

  • Slim Chaouachi

    (ISG Tunis, UR UAQUAP)

Abstract

Since the reforms undertaken by policymakers to stop the depreciation of the Tunisian currency have failed, this paper investigates the dynamic of the Tunisian real exchange rate RER). The paper examines the nonlinear behavior of the power party purchase in Tunisia. It also considers whether the RER follows a true long-memory or spurious long-memory process with the presence of shifts. The analysis has two main findings. First, strong evidence of short memory in the presence of structural breaks appears in the Tunisian RER and, second, our results highlight that the presence of structural breaks creates distortions that prevent Tunisian policymakers from reacting to the exchange rate system effectively through central bank intervention. The dynamic of the Tunisian exchange rate is governed by the heterogeneity among investors and policy changes. The presence of multiple regimes in the Tunisian exchange rate implies that monetary policy cannot affect the exchange rate dynamic through central bank interventions. Therefore, this study recommends that Tunisian policymakers follow a market-oriented strategy in making relevant reforms, such as revisiting the weight of the dinar against the euro, to ensure better management of the risks associated with foreign exchange fluctuations.

Suggested Citation

  • Zied Ftiti & Slim Chaouachi, 2018. "What Can We Learn About the Real Exchange Rate Behavior in the Case of a Peripheral Country?," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 16(3), pages 681-707, September.
  • Handle: RePEc:spr:jqecon:v:16:y:2018:i:3:d:10.1007_s40953-017-0098-z
    DOI: 10.1007/s40953-017-0098-z
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    More about this item

    Keywords

    Long memory; Structural break; Spurious long memory; Markov switching; ESTAR; Tunisia;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • F31 - International Economics - - International Finance - - - Foreign Exchange

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