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Determinants of the Dinar-Euro Nominal Exchange Rate

Author

Listed:
  • Milan Nedeljkovic

    (National Bank of Serbia)

  • Branko Urosevic

    (National Bank of Serbia)

Abstract

This paper studies drivers of daily dynamics of the nominal dinar-euro exchange rate from September 2006 to June 2010. Using a novel semiparametric approach we are able to incorporate the evidence of nonlinearities under very weak assumptions on the underlying data generating process. We identify several factors influencing daily exchange rate returns whose importance varies over time. In the period preceeding the financial crisis, information in past returns, changes in households’ foreign currency savings and banks' net purchases of foreign currency are the most significant factors. From September 2008 onwards other factors related to changes in country's risk and the information processing in the market gain importance. NBS interventions are found to be effective with a time delay.

Suggested Citation

  • Milan Nedeljkovic & Branko Urosevic, 2011. "Determinants of the Dinar-Euro Nominal Exchange Rate," Working papers 18, National Bank of Serbia.
    • Handle: RePEc:nsb:wpaper:18
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    References listed on IDEAS

    as
    1. McKinnon, Ronald I, 1982. "Currency Substitution and Instability in the World Dollar Standard," American Economic Review, American Economic Association, vol. 72(3), pages 320-333, June.
    2. Jansen, Dennis W. & Li, Qi & Wang, Zijun & Yang, Jian, 2008. "Fiscal policy and asset markets: A semiparametric analysis," Journal of Econometrics, Elsevier, vol. 147(1), pages 141-150, November.
    3. Cozmanca, Bogdan-Octavian & Manea, Florentina, 2010. "Exchange Rate Pass-Through into Romanian Price Indices. Avar Approach," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(3), pages 26-52, September.
    4. Lyons, Richard K., 1995. "Tests of microstructural hypotheses in the foreign exchange market," Journal of Financial Economics, Elsevier, vol. 39(2-3), pages 321-351.
    5. Egert, Balazs & Komarek, Lubos, 2006. "Foreign exchange interventions and interest rate policy in the Czech Republic: Hand in glove?," Economic Systems, Elsevier, vol. 30(2), pages 121-140, June.
    6. Cheung, Yin-Wong & Chinn, Menzie D. & Pascual, Antonio Garcia, 2005. "Empirical exchange rate models of the nineties: Are any fit to survive?," Journal of International Money and Finance, Elsevier, vol. 24(7), pages 1150-1175, November.
    7. Fatum, Rasmus & Pedersen, Jesper, 2009. "Real-time effects of central bank intervention in the euro market," Journal of International Economics, Elsevier, vol. 78(1), pages 11-20, June.
    8. Humpage, Owen F, 1999. "U.S. Intervention: Assessing the Probability of Success," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 31(4), pages 731-747, November.
    9. Galati, Gabriele & Melick, William & Micu, Marian, 2005. "Foreign exchange market intervention and expectations: The yen/dollar exchange rate," Journal of International Money and Finance, Elsevier, vol. 24(6), pages 982-1011, October.
    10. Torben G. Andersen & Tim Bollerslev & Francis X. Diebold & Clara Vega, 2003. "Micro Effects of Macro Announcements: Real-Time Price Discovery in Foreign Exchange," American Economic Review, American Economic Association, vol. 93(1), pages 38-62, March.
    11. Chen, Xiaohong & Fan, Yanqin, 1999. "Consistent hypothesis testing in semiparametric and nonparametric models for econometric time series," Journal of Econometrics, Elsevier, vol. 91(2), pages 373-401, August.
    12. Li, Qi & Hsiao, Cheng & Zinn, Joel, 2003. "Consistent specification tests for semiparametric/nonparametric models based on series estimation methods," Journal of Econometrics, Elsevier, vol. 112(2), pages 295-325, February.
    13. Li, Qi & Wooldridge, Jeffrey M., 2002. "Semiparametric Estimation Of Partially Linear Models For Dependent Data With Generated Regressors," Econometric Theory, Cambridge University Press, vol. 18(03), pages 625-645, June.
    14. Jesus Crespo-Cuaresma & Jarko Fidrmuc & Ronald MacDonald, 2005. "The monetary approach to exchange rates in the CEECs," The Economics of Transition, The European Bank for Reconstruction and Development, vol. 13(2), pages 395-416, April.
    15. Jesús Crespo Cuaresma & Jarko Fidrmuc & Maria Silgoner, 2008. "Fundamentals, the exchange rate and prospects for the current and future EU enlargements: evidence from Bulgaria, Croatia, Romania and Turkey," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 35(2), pages 195-211, April.
    16. Clark, Peter K, 1973. "A Subordinated Stochastic Process Model with Finite Variance for Speculative Prices," Econometrica, Econometric Society, vol. 41(1), pages 135-155, January.
    17. Alan M. Taylor & Mark P. Taylor, 2004. "The Purchasing Power Parity Debate," Journal of Economic Perspectives, American Economic Association, vol. 18(4), pages 135-158, Fall.
    18. Nikola Gradojević & Vladimir Djaković & Goran Andjelić, 2010. "Random Walk Theory and Exchange Rate Dynamics in Transition Economies," Panoeconomicus, Savez ekonomista Vojvodine, Novi Sad, Serbia, vol. 57(3), pages 303-320, September.
    19. Disyatat, Piti & Galati, Gabriele, 2007. "The effectiveness of foreign exchange intervention in emerging market countries: Evidence from the Czech koruna," Journal of International Money and Finance, Elsevier, vol. 26(3), pages 383-402, April.
    20. De Long, J Bradford & Andrei Shleifer & Lawrence H. Summers & Robert J. Waldmann, 1990. "Noise Trader Risk in Financial Markets," Journal of Political Economy, University of Chicago Press, vol. 98(4), pages 703-738, August.
    21. Juan Carlos Escanciano, 2004. "Model Checks Using Residual Marked Empirical Processes," Faculty Working Papers 13/04, School of Economics and Business Administration, University of Navarra.
    22. Michael Frömmel & Norbert Kiss M. & Klára Pintér, 2011. "Macroeconomic announcements, communication and order flow on the Hungarian foreign exchange market," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 16(2), pages 172-188, April.
    23. Martin D. D. Evans & Richard K. Lyons, 2017. "How is Macro News Transmitted to Exchange Rates?," World Scientific Book Chapters,in: Studies in Foreign Exchange Economics, chapter 14, pages 547-596 World Scientific Publishing Co. Pte. Ltd..
    24. Li, Qi, 2000. "Efficient Estimation of Additive Partially Linear Models," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 41(4), pages 1073-1092, November.
    25. Akcay, O. Cevdet & Alper, C. Emre & Karasulu, Meral, 1997. "Currency substitution and exchange rate instability: The Turkish case," European Economic Review, Elsevier, vol. 41(3-5), pages 827-835, April.
    26. Mandelbrot, Benoit B, 1973. "A Subordinated Stochastic Process Model with Finite Variance for Speculative Prices: Comment," Econometrica, Econometric Society, vol. 41(1), pages 157-159, January.
    27. Copeland, Thomas E, 1976. "A Model of Asset Trading under the Assumption of Sequential Information Arrival," Journal of Finance, American Finance Association, vol. 31(4), pages 1149-1168, September.
    28. Hsing, Yu & Hsieh, Wen-jen, 2010. "Responses of Real Output in Serbia to the Financial and Global Economic Conditions," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(3), pages 107-114, September.
    29. Jianhua Z. Huang & Lijian Yang, 2004. "Identification of non‐linear additive autoregressive models," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 66(2), pages 463-477, May.
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    More about this item

    Keywords

    Foreign exchange market; Partially linear model; Kernel estimation;

    JEL classification:

    • F31 - International Economics - - International Finance - - - Foreign Exchange
    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • G18 - Financial Economics - - General Financial Markets - - - Government Policy and Regulation

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