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The response of individual FX dealers'quoting activity to macroeconomic news announcements

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  • BEN OMRANE, Walid
  • HEINEN, Andréas

Abstract

This paper analyses the effect of nine categories of news announcements on the quoting activity of individual FX dealers on the Euro/Dollar exchange rate from May to October 2001. We use the Double Autoregressive Conditional Poisson model (DACP), which is designed for time series of count data, which can be both under- or overdispersed. We find that dealers' quoting activity reacts differently to the same announcements, some increasing their activity, whist others decrease it in response to the same news. We attribute this to the heterogeneous interpretation of the news content by individual traders. This means that studies of quoting activity at the aggregate level can miss the point. Finally, we identify the news announcements that impact quoting activity as non-common knowledge news.

Suggested Citation

  • BEN OMRANE, Walid & HEINEN, Andréas, 2003. "The response of individual FX dealers'quoting activity to macroeconomic news announcements," CORE Discussion Papers 2003070, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
  • Handle: RePEc:cor:louvco:2003070
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    File URL: https://uclouvain.be/en/research-institutes/immaq/core/dp-2003.html
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    References listed on IDEAS

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    1. 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.
    2. Wang, Jian-Xin, 2001. "Quote revision and information flow among foreign exchange dealers," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 11(2), pages 115-136, June.
    3. Bauwens, Luc & Ben Omrane, Walid & Giot, Pierre, 2005. "News announcements, market activity and volatility in the euro/dollar foreign exchange market," Journal of International Money and Finance, Elsevier, vol. 24(7), pages 1108-1125, November.
    4. Benassy-Quere, Agnes & Larribeau, Sophie & MacDonald, Ronald, 2003. "Models of exchange rate expectations: how much heterogeneity?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 13(2), pages 113-136, April.
    5. Melvin, Michael & Yin, Xixi, 2000. "Public Information Arrival, Exchange Rate Volatility, and Quote Frequency," Economic Journal, Royal Economic Society, vol. 110(465), pages 644-661, July.
    6. Peiers, Bettina, 1997. " Informed Traders, Intervention, and Price Leadership: A Deeper View of the Microstructure of the Foreign Exchange Market," Journal of Finance, American Finance Association, vol. 52(4), pages 1589-1614, September.
    7. Diebold, Francis X & Gunther, Todd A & Tay, Anthony S, 1998. "Evaluating Density Forecasts with Applications to Financial Risk Management," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 39(4), pages 863-883, November.
    8. 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..
    9. 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 1421-1443, September.
    10. Goodhart, C. A. E. & Figliuoli, L., 1991. "Every minute counts in financial markets," Journal of International Money and Finance, Elsevier, vol. 10(1), pages 23-52, March.
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    Cited by:

    1. Áron Gereben & György Gyomai & Norbert Kiss M., 2005. "The microstructure approach to exchange rates: a survey from a central bank’s viewpoint," MNB Occasional Papers 2005/42, Magyar Nemzeti Bank (Central Bank of Hungary).

    More about this item

    Keywords

    foreign exchange; market microstructure; time series; count data;

    JEL classification:

    • F31 - International Economics - - International Finance - - - Foreign Exchange
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
    • C35 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions

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