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The High-Frequency Response of the EUR-USD Exchange Rate to ECB Communication

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  • CHRISTIAN CONRAD
  • MICHAEL J. LAMLA

Abstract

We investigate the impact of the European Central Bank's monetary policy communication during the press conference held after the monthly Governing Council meeting on the EUR-USD exchange rate in high frequency. Based on the method of Content Analysis, we construct communication indicators for the introductory statement and find that communication with respect to future price developments is most relevant. In response to statements about increasing risks to price stability the EUR appreciates on impact. To the contrary, communication about economic activity and monetary aggregates does not generate significant exchange rate reactions. Copyright (c) 2010 The Ohio State University.

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Bibliographic Info

Article provided by Blackwell Publishing in its journal Journal of Money, Credit and Banking.

Volume (Year): 42 (2010)
Issue (Month): 7 (October)
Pages: 1391-1417

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Handle: RePEc:mcb:jmoncb:v:42:y:2010:i:7:p:1391-1417

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Web page: http://www.blackwellpublishing.com/journal.asp?ref=0022-2879

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Cited by:
  1. Ales Bulir & Jaromir Hurnik & Katerina Smidkova, 2013. "Inflation Reports and Models: How Well Do Central Banks Really Write?," Working Papers 2013/03, Czech National Bank, Research Department.
  2. Barbara Bedowska-Sojka, 2011. "The Impact of Macro News on Volatility of Stock Exchanges," Dynamic Econometric Models, Uniwersytet Mikolaja Kopernika, vol. 11, pages 99-110.
  3. Krieger, Kevin & Mauck, Nathan & Vasquez, Joseph, 2014. "Comparing U.S. and European Market Volatility Responses to Interest Rate Policy Announcements," MPRA Paper 52959, University Library of Munich, Germany.
  4. Conrad, Christian & Zumbach, Klaus Ulrich, 2012. "The Effect of Political Communication on European Financial Markets during the Sovereign Debt Crisis," Working Papers 0536, University of Heidelberg, Department of Economics.
  5. Christopher J. Neely, 2011. "A survey of announcement effects on foreign exchange volatility and jumps," Review, Federal Reserve Bank of St. Louis, issue Sep, pages 361-385.
  6. Christian Conrad & Menelaos Karanasos & Ning Zeng, 2008. "Multivariate Fractionally Integrated APARCH Modeling of Stock Market Volatility: A multi-country study," Working Papers 0472, University of Heidelberg, Department of Economics, revised Jul 2008.

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