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The Euro and Other Major Currencies Floating Against the U.S. Dollar

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  • Jorge Pérez-Rodríguez

Abstract

This paper discusses the interdependent effects of conditional volatilities in returns of the Euro and other major currencies against U.S. dollar exchange rates (spot rates) since the launch of the Euro, using, for this purpose, the daily data and dynamic conditional correlation (DCC)–GARCH model with country-specific effects. The following conclusions are drawn: there are volatility spillovers (contemporaneous and lagged) in the Euro, Yen, and British pound, the degree of the correlation is high between the Euro and British pound against the U.S. dollar, there is a very strong association between the ECB Euro reference rate (fixing rates) and U.S.-traded spot rates, and finally, the impulse-response of volatility (after the accession of new Member States to the European Union) rapidly diminishes in the spot markets, indicating a short-run dynamic effect. Copyright International Atlantic Economic Society 2006

Suggested Citation

  • Jorge Pérez-Rodríguez, 2006. "The Euro and Other Major Currencies Floating Against the U.S. Dollar," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 34(4), pages 367-384, December.
    • Handle: RePEc:kap:atlecj:v:34:y:2006:i:4:p:367-384
    DOI: 10.1007/s11293-006-9042-x
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    1. Engle, Robert F & Sheppard, Kevin K, 2001. "Theoretical and Empirical Properties of Dynamic Conditional Correlation Multivariate GARCH," University of California at San Diego, Economics Working Paper Series qt5s2218dp, Department of Economics, UC San Diego.
    2. Ito, Takatoshi & Engle, Robert F. & Lin, Wen-Ling, 1992. "Where does the meteor shower come from? : The role of stochastic policy coordination," Journal of International Economics, Elsevier, vol. 32(3-4), pages 221-240, May.
    3. Kristin J. Forbes & Roberto Rigobon, 2002. "No Contagion, Only Interdependence: Measuring Stock Market Comovements," Journal of Finance, American Finance Association, vol. 57(5), pages 2223-2261, October.
    4. Hartmann,Philipp, 2007. "Currency Competition and Foreign Exchange Markets," Cambridge Books, Cambridge University Press, number 9780521046930, September.
    5. Engle, Robert F & Ito, Takatoshi & Lin, Wen-Ling, 1990. "Meteor Showers or Heat Waves? Heteroskedastic Intra-daily Volatility in the Foreign Exchange Market," Econometrica, Econometric Society, vol. 58(3), pages 525-542, May.
    6. Mr. Paul R Masson & Mr. Bart Turtelboom, 1997. "Characteristics of the Euro, the Demand for Reserves, and Policy Coordination Under EMU," IMF Working Papers 1997/058, International Monetary Fund.
    7. Chinn, Menzie David & Frankel, Jeffrey A., 2006. "Will the Euro Eventually Surpass the Dollar As Leading International Reserve Currency?," Santa Cruz Department of Economics, Working Paper Series qt4hz4n9pb, Department of Economics, UC Santa Cruz.
    8. Currie,David & Levine,Paul, 2009. "Rules, Reputation and Macroeconomic Policy Coordination," Cambridge Books, Cambridge University Press, number 9780521104609, September.
    9. Clostermann, Jörg & Schnatz, Bernd, 2000. "The determinants of the euro-dollar exchange rate: synthetic fundamentals and a non-existing currency," Discussion Paper Series 1: Economic Studies 2000,02, Deutsche Bundesbank.
    10. Mark P. Taylor & Lucio Sarno, 2001. "Official Intervention in the Foreign Exchange Market: Is It Effective and, If So, How Does It Work?," Journal of Economic Literature, American Economic Association, vol. 39(3), pages 839-868, September.
    11. Cohen, Daniel, 1997. "How will the euro behave ?," CEPREMAP Working Papers (Couverture Orange) 9704, CEPREMAP.
    12. M.J. Artis, 2003. "Reflections on the optimal currency area (OCA) criteria in the light of EMU," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 8(4), pages 297-307.
    13. Harald Hau & William Killeen & Michael Moore, 2002. "How has the euro changed the foreign exchange market? [‘The distribution of realized exchange rate volatility’]," Economic Policy, CEPR, CESifo, Sciences Po;CES;MSH, vol. 17(34), pages 149-192.
    14. Angela Black & David McMillan, 2004. "Long run trends and volatility spillovers in daily exchange rates," Applied Financial Economics, Taylor & Francis Journals, vol. 14(12), pages 895-907.
    15. Matthew B. Canzoneri & Dale W. Henderson, 1991. "Monetary Policy in Interdependent Economies: A Game-Theoretic Approach," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262031787, April.
    16. Michael Melvin & Manuel Gomez, 2004. "Explaining the dollar/euro exchange rate: the role of policy uncertainty, asymmetric information, and hedging opportunities," Econometric Society 2004 North American Winter Meetings 72, Econometric Society.
    17. Menzie Chinn & Jeffrey A. Frankel, 2007. "Will the Euro Eventually Surpass the Dollar as Leading International Reserve Currency?," NBER Chapters, in: G7 Current Account Imbalances: Sustainability and Adjustment, pages 283-338, National Bureau of Economic Research, Inc.
    18. Robert Mundell, 1998. "What the euro means for the dollar and the international Monetary system," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 26(3), pages 227-237, September.
    19. Speight, Alan E. H. & McMillan, David G., 2001. "Volatility spillovers in East European black-market exchange rates," Journal of International Money and Finance, Elsevier, vol. 20(3), pages 367-378, June.
    20. Stein L., 2001. "The Equilibrium Value of The Euro/$ US Exchange Rate: An Evaluation of Research," European Research Studies Journal, European Research Studies Journal, vol. 0(1-2), pages 73-108, January -.
    21. Nikkinen, Jussi & Sahlstrom, Petri & Vahamaa, Sami, 2006. "Implied volatility linkages among major European currencies," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 16(2), pages 87-103, April.
    22. Coppel, Jonathan & Durand, Martine & Visco, Ignazio, 2000. "The European Monetary Union, the euro, and the European policy mix," Journal of Asian Economics, Elsevier, vol. 11(1), pages 31-63.
    23. Bollerslev, Tim, 1990. "Modelling the Coherence in Short-run Nominal Exchange Rates: A Multivariate Generalized ARCH Model," The Review of Economics and Statistics, MIT Press, vol. 72(3), pages 498-505, August.
    24. Engle, Robert F & Sheppard, Kevin K, 2001. "Theoretical and Empirical Properties of Dynamic Conditional Correlation Multivariate GARCH," University of California at San Diego, Economics Working Paper Series qt5s2218dp, Department of Economics, UC San Diego.
    25. Michael D. McKenzie, 1999. "The Impact of Exchange Rate Volatility on International Trade Flows," Journal of Economic Surveys, Wiley Blackwell, vol. 13(1), pages 71-106, February.
    26. Mussa, Michael, 2000. "The Relationship Between the Euro and the Dollar," Journal of Policy Modeling, Elsevier, vol. 22(3), pages 369-377, May.
    27. Kearney, Colm & Patton, Andrew J, 2000. "Multivariate GARCH Modeling of Exchange Rate Volatility Transmission in the European Monetary System," The Financial Review, Eastern Finance Association, vol. 35(1), pages 29-48, February.
    28. Jerome L. Stein, 2001. "The Equilibrium Value of the Euro/$ US Exchange Rate: An Evaluation of Research," CESifo Working Paper Series 525, CESifo.
    29. Eichengreen, Barry, 2000. "The Euro One Year On," Journal of Policy Modeling, Elsevier, vol. 22(3), pages 355-368, May.
    30. Lin, Wen-Ling, 1997. "Impulse Response Function for Conditional Volatility in GARCH Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 15(1), pages 15-25, January.
    31. Engle, Robert, 2002. "Dynamic Conditional Correlation: A Simple Class of Multivariate Generalized Autoregressive Conditional Heteroskedasticity Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(3), pages 339-350, July.
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    2. Rim Ammar Lamouchi & Ruba Khalid Shira, 2023. "Heterogeneous Behavior and Volatility Transmission in the Forex Market using High-Frequency Data," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 13(3), pages 1-3.
    3. Antonakakis, Nikolaos, 2012. "Exchange return co-movements and volatility spillovers before and after the introduction of euro," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 22(5), pages 1091-1109.
    4. Roberto Casarin & Marco Tronzano & Domenico Sartore, 2013. "Bayesian Markov Switching Stochastic Correlation Models," Working Papers 2013:11, Department of Economics, University of Venice "Ca' Foscari".
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    6. Tamakoshi, Go & Hamori, Shigeyuki, 2014. "Co-movements among major European exchange rates: A multivariate time-varying asymmetric approach," International Review of Economics & Finance, Elsevier, vol. 31(C), pages 105-113.
    7. El Abed, Riadh & Zardoub, Amna, 2017. "Time varying and asymmetric effect between sovereign credit market and financial market: The asymmetric DCC model," Economics Discussion Papers 2017-97, Kiel Institute for the World Economy (IfW Kiel).
    8. Yang, Lu & Cai, Xiao Jing & Zhang, Huimin & Hamori, Shigeyuki, 2016. "Interdependence of foreign exchange markets: A wavelet coherence analysis," Economic Modelling, Elsevier, vol. 55(C), pages 6-14.
    9. Kenourgios, Dimitris & Papadamou, Stephanos & Dimitriou, Dimitrios, 2015. "On quantitative easing and high frequency exchange rate dynamics," Research in International Business and Finance, Elsevier, vol. 34(C), pages 110-125.
    10. Zouheir Mighri, 2018. "On the Dynamic Linkages Among International Emerging Currencies," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 16(2), pages 427-473, June.
    11. Kühl, Michael, 2009. "Excess comovements between the Euro/US dollar and British pound/US dollar exchange rates," University of Göttingen Working Papers in Economics 89, University of Goettingen, Department of Economics.

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    More about this item

    Keywords

    C32; D72; F31; F33; DCC–GARCH models; impulse-response functions of volatility;
    All these keywords.

    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
    • D72 - Microeconomics - - Analysis of Collective Decision-Making - - - Political Processes: Rent-seeking, Lobbying, Elections, Legislatures, and Voting Behavior
    • F31 - International Economics - - International Finance - - - Foreign Exchange
    • F33 - International Economics - - International Finance - - - International Monetary Arrangements and Institutions

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