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The determinants of EURO/TND exchange rate volatility in Tunisia

Author

Listed:
  • Nadia Dridi

    (High School of Economics and Commerce of Tunis)

  • Fathi Ayachi

    (High School of Economics and Commerce of Tunis)

Abstract

This paper aims to study the different determinants of nominal exchange rate volatility of the Tunisian Dinar (TND) against the Euro (EURO), principal money of the commercial and financial partners of Tunisia and, particularly, the most volatile money relative to other international currencies as Dollar. We used monthly data from January 2006 to March 2016. In this study, EURO/TND exchange rate volatility is measured employing EGARCH (1,1) approach. For this purpose, we identify relevant variables that influence exchange rate volatility (net assets in foreign currency, current account, debt service average ratio, average money market interest rate, consumer price index family, Tunindex ) which were included in our model estimation. The cointegration analysis reveals the presence of a long-run equilibrium relationship between exchange rate volatility and its various determinants and shows that only the current account and debt service ratio have significant negative effects on exchange rate volatility during the study period. At the short-run, the VECM indicate the presence of positive significant relationship among all the explanatory variables and exchange rate volatility with exception of average money market interest rate that has a significant negative effect.

Suggested Citation

  • Nadia Dridi & Fathi Ayachi, 2022. "The determinants of EURO/TND exchange rate volatility in Tunisia," Economics Bulletin, AccessEcon, vol. 42(4), pages 1981-1997.
    • Handle: RePEc:ebl:ecbull:eb-22-00463
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    References listed on IDEAS

    as
    1. Johansen, Soren & Juselius, Katarina, 1990. "Maximum Likelihood Estimation and Inference on Cointegration--With Applications to the Demand for Money," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 52(2), pages 169-210, May.
    2. Adamu Hassan & Mika’ilu Abubakar & Yusuf Umar Dantama, 2017. "Determinants of Exchange Rate Volatility: New Estimates from Nigeria," Eastern Journal of Economics and Finance, Pacharapa Naka, vol. 3(1), pages 1-12.
    3. Adamu Hassan & Mika’ilu Abubakar & Yusuf Umar Dantama, 2017. "Determinants of Exchange Rate Volatility: New Estimates from Nigeria," Eastern Journal of Economics and Finance, Online Science Publishing, vol. 3(1), pages 1-12.
    4. Trust R. Mpofu, 2021. "The determinants of real exchange rate volatility in South Africa," The World Economy, Wiley Blackwell, vol. 44(5), pages 1380-1401, May.
    5. Bollerslev, Tim, 1986. "Generalized autoregressive conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 31(3), pages 307-327, April.
    6. Paul Alagidede & Muazu Ibrahim, 2017. "On the Causes and Effects of Exchange Rate Volatility on Economic Growth: Evidence from Ghana," Journal of African Business, Taylor & Francis Journals, vol. 18(2), pages 169-193, April.
    7. Pesaran, H. Hashem & Shin, Yongcheol, 1998. "Generalized impulse response analysis in linear multivariate models," Economics Letters, Elsevier, vol. 58(1), pages 17-29, January.
    8. Johansen, Soren, 1988. "Statistical analysis of cointegration vectors," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 231-254.
    9. Calderón, César & Kubota, Megumi, 2018. "Does higher openness cause more real exchange rate volatility?," Journal of International Economics, Elsevier, vol. 110(C), pages 176-204.
    10. Nelson, Daniel B, 1991. "Conditional Heteroskedasticity in Asset Returns: A New Approach," Econometrica, Econometric Society, vol. 59(2), pages 347-370, March.
    11. Zakoian, Jean-Michel, 1994. "Threshold heteroskedastic models," Journal of Economic Dynamics and Control, Elsevier, vol. 18(5), pages 931-955, September.
    12. Serhan Cevik & Richard D. F. Harris & Fatih Yilmaz, 2017. "Soft power and exchange rate volatility," International Finance, Wiley Blackwell, vol. 20(3), pages 271-288, December.
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    More about this item

    Keywords

    Exchange Rate Volatility; EGARCH; Cointegration; VECM; Impulse- Response Functions and Variance Decomposition Analysis.;
    All these keywords.

    JEL classification:

    • F4 - International Economics - - Macroeconomic Aspects of International Trade and Finance
    • G1 - Financial Economics - - General Financial Markets

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