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Dynamic news effects in high frequency Euro exchange rates

  • Evans, Kevin P.
  • Speight, Alan E.H.
Registered author(s):

    This paper investigates the dynamic, short-run response of Euro exchange rate returns to the information surprise of global macroeconomic announcements. In addition, it advocates a new approach to modelling intraday exchange rate volatility to allow accurate characterisation of reactions. US macroeconomic news generates far more dramatic responses in EUR-USD returns and returns volatility than news on the macroeconomic performance of other countries. However, some Eurozone and German indicators are also important and UK announcements are important for the EUR-GBP rate. The reaction of exchange rate returns to news is very quick and occurs within the first 5Â min of the release with very little reaction in the 15Â min before and after. These findings show that exchange rates are strongly linked to fundamentals in the 5-min intervals immediately following the data release. Reactions to news are found to vary in magnitude over the sample, with the largest responses to news occurring in response to turning points in the cumulative flow of news.

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    Article provided by Elsevier in its journal Journal of International Financial Markets, Institutions and Money.

    Volume (Year): 20 (2010)
    Issue (Month): 3 (July)
    Pages: 238-258

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    Handle: RePEc:eee:intfin:v:20:y:2010:i:3:p:238-258
    Contact details of provider: Web page: http://www.elsevier.com/locate/intfin

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    1. BAUWENS, Luc & BEN OMRANE, Walid & GIOT, Pierre, 2003. "News announcements, market activity and volatility in the Euro/Dollar foreign exchange market," CORE Discussion Papers 2003029, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    2. Charles Engel & Kenneth D. West, 2005. "Exchange Rates and Fundamentals," Journal of Political Economy, University of Chicago Press, vol. 113(3), pages 485-517, June.
    3. Rime, Dagfinn & Sarno, Lucio & Sojli, Elvira, 2010. "Exchange rate forecasting, order flow and macroeconomic information," Journal of International Economics, Elsevier, vol. 80(1), pages 72-88, January.
    4. Evans, Martin D.D. & Lyons, Richard K., 2008. "How is macro news transmitted to exchange rates?," Journal of Financial Economics, Elsevier, vol. 88(1), pages 26-50, April.
    5. Evans, Martin D.D. & Lyons, Richard K., 2005. "Do currency markets absorb news quickly?," Journal of International Money and Finance, Elsevier, vol. 24(2), pages 197-217, March.
    6. Evans, Martin D. & Lyons, Richard K., 1999. "Order Flow and Exchange Rate Dynamics," Research Program in Finance, Working Paper Series qt0dh1c16w, Research Program in Finance, Institute for Business and Economic Research, UC Berkeley.
    7. Mark P. Taylor, 1995. "The Economics of Exchange Rates," Journal of Economic Literature, American Economic Association, vol. 33(1), pages 13-47, March.
    8. Love, Ryan & Payne, Richard, 2008. "Macroeconomic News, Order Flows, and Exchange Rates," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 43(02), pages 467-488, June.
    9. 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.
    10. Mark, Nelson C, 1995. "Exchange Rates and Fundamentals: Evidence on Long-Horizon Predictability," American Economic Review, American Economic Association, vol. 85(1), pages 201-18, March.
    11. Carlson, John A. & Lo, Melody, 2006. "One minute in the life of the DM/US$: Public news in an electronic market," Journal of International Money and Finance, Elsevier, vol. 25(7), pages 1090-1102, November.
    12. Torben G. Andersen & Tim Bollerslev, 1998. "Deutsche Mark-Dollar Volatility: Intraday Activity Patterns, Macroeconomic Announcements, and Longer Run Dependencies," Journal of Finance, American Finance Association, vol. 53(1), pages 219-265, 02.
    13. Cheung, Yin-Wong & Chinn, Menzie & Garcia Pascual, Antonio, 2003. "Empirical Exchange Rate Models of the Nineties: Are Any Fit to Survive?," Santa Cruz Center for International Economics, Working Paper Series qt5fc508pt, Center for International Economics, UC Santa Cruz.
    14. Michael J. Fleming & Eli M. Remolona, 1999. "Price Formation and Liquidity in the U.S. Treasury Market: The Response to Public Information," Journal of Finance, American Finance Association, vol. 54(5), pages 1901-1915, October.
    15. Flood, Robert P & Rose, Andrew K, 1998. "Understanding Exchange Rate Volatility Without the Contrivance of Macroeconomics," CEPR Discussion Papers 1944, C.E.P.R. Discussion Papers.
    16. DeGennaro, Ramon P. & Shrieves, Ronald E., 1997. "Public information releases, private information arrival and volatility in the foreign exchange market," Journal of Empirical Finance, Elsevier, vol. 4(4), pages 295-315, December.
    17. Taylor, Nicholas, 2004. "Trading intensity, volatility, and arbitrage activity," Journal of Banking & Finance, Elsevier, vol. 28(5), pages 1137-1162, May.
    18. Jeremy Berkowitz & Lorenzo Giorgianni, 2001. "Long-Horizon Exchange Rate Predictability?," The Review of Economics and Statistics, MIT Press, vol. 83(1), pages 81-91, February.
    19. Chang, Yuanchen & Taylor, Stephen J., 2003. "Information arrivals and intraday exchange rate volatility," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 13(2), pages 85-112, April.
    20. Ehrmann, Michael & Fratzscher, Marcel, 2005. "Exchange rates and fundamentals: new evidence from real-time data," Journal of International Money and Finance, Elsevier, vol. 24(2), pages 317-341, March.
    21. Bollerslev, Tim & Domowitz, Ian, 1993. " Trading Patterns and Prices in the Interbank Foreign Exchange Market," Journal of Finance, American Finance Association, vol. 48(4), pages 1421-43, September.
    22. Andersen, Torben G. & Bollerslev, Tim, 1997. "Intraday periodicity and volatility persistence in financial markets," Journal of Empirical Finance, Elsevier, vol. 4(2-3), pages 115-158, June.
    23. Ederington, Louis H. & Lee, Jae Ha, 1995. "The Short-Run Dynamics of the Price Adjustment to New Information," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 30(01), pages 117-134, March.
    24. Gabriele Galati & Corrinne Ho, 2003. "Macroeconomic News and the Euro/Dollar Exchange Rate," Economic Notes, Banca Monte dei Paschi di Siena SpA, vol. 32(3), pages 371-398, November.
    25. Jeffrey A. Frankel & Andrew K. Rose, 1994. "A Survey of Empirical Research on Nominal Exchange Rates," NBER Working Papers 4865, National Bureau of Economic Research, Inc.
    26. Torben G. Andersen & Tim Bollerslev & Francis X. Diebold & Clara Vega, 2007. "Real-Time Price Discovery in Global Stock, Bond and Foreign Exchange Markets," CREATES Research Papers 2007-20, School of Economics and Management, University of Aarhus.
    27. T. Clifton Green, 2004. "Economic News and the Impact of Trading on Bond Prices," Journal of Finance, American Finance Association, vol. 59(3), pages 1201-1234, 06.
    28. Pierre Giot, 2005. "Market risk models for intraday data," The European Journal of Finance, Taylor & Francis Journals, vol. 11(4), pages 309-324.
    29. Meese, Richard A. & Rogoff, Kenneth, 1983. "Empirical exchange rate models of the seventies : Do they fit out of sample?," Journal of International Economics, Elsevier, vol. 14(1-2), pages 3-24, February.
    30. Ederington, Louis H & Lee, Jae Ha, 1993. " How Markets Process Information: News Releases and Volatility," Journal of Finance, American Finance Association, vol. 48(4), pages 1161-91, September.
    31. Balduzzi, Pierluigi & Elton, Edwin J. & Green, T. Clifton, 2001. "Economic News and Bond Prices: Evidence from the U.S. Treasury Market," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 36(04), pages 523-543, December.
    32. Frankel, Jeffrey A. & Rose, Andrew K., 1995. "Empirical research on nominal exchange rates," Handbook of International Economics, in: G. M. Grossman & K. Rogoff (ed.), Handbook of International Economics, edition 1, volume 3, chapter 33, pages 1689-1729 Elsevier.
    33. Sager, Michael J. & Taylor, Mark P., 2004. "The impact of European Central Bank Governing Council announcements on the foreign exchange market: a microstructural analysis," Journal of International Money and Finance, Elsevier, vol. 23(7-8), pages 1043-1051.
    34. Andersen, Torben G. & Bollerslev, Tim & Cai, Jun, 2000. "Intraday and interday volatility in the Japanese stock market," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 10(2), pages 107-130, June.
    35. Simpson, Marc W. & Ramchander, Sanjay & Chaudhry, Mukesh, 2005. "The impact of macroeconomic surprises on spot and forward foreign exchange markets," Journal of International Money and Finance, Elsevier, vol. 24(5), pages 693-718, September.
    36. Zhang, Michael Yuanjie & Russell, Jeffrey R. & Tsay, Ruey S., 2001. "A nonlinear autoregressive conditional duration model with applications to financial transaction data," Journal of Econometrics, Elsevier, vol. 104(1), pages 179-207, August.
    37. Gençay, Ramazan & Selçuk, Faruk & Whitcher, Brandon, 2001. "Differentiating intraday seasonalities through wavelet multi-scaling," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 289(3), pages 543-556.
    38. Robert F. Engle & Jeffrey R. Russell, 1998. "Autoregressive Conditional Duration: A New Model for Irregularly Spaced Transaction Data," Econometrica, Econometric Society, vol. 66(5), pages 1127-1162, September.
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