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Public news announcements and quoting activity in the Euro/Dollar foreign exchange market

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  • Ben Omrane, Walid
  • Heinen, Andréas

Abstract

The effect of public news announcements on dealers' quoting activity is analyzed with the multivariate double autoregressive conditional Poisson model. Quoting activity is measured by the frequency of price revisions in the Euro/Dollar foreign exchange market. The multivariate double autoregressive conditional Poisson model is designed for time series of count data. It is based on the double Poisson distribution, which can be both over- and underdispersed. The main findings are first a significant interaction between dealers' quoting activity, which confirms hot potato trading. Second, news announcements have a different impact on the quoting activity of different banks. Third, impulse-response functions to news announcements show the dynamic nature of the reaction to these news releases.

Suggested Citation

  • Ben Omrane, Walid & Heinen, Andréas, 2010. "Public news announcements and quoting activity in the Euro/Dollar foreign exchange market," Computational Statistics & Data Analysis, Elsevier, vol. 54(11), pages 2419-2431, November.
  • Handle: RePEc:eee:csdana:v:54:y:2010:i:11:p:2419-2431
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    References listed on IDEAS

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    1. Martin D.D. Evans & Richard K. Lyons, 2017. "Order Flow and Exchange Rate Dynamics," World Scientific Book Chapters,in: Studies in Foreign Exchange Economics, chapter 6, pages 247-290 World Scientific Publishing Co. Pte. Ltd..
    2. 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.
    3. Jung, Robert C. & Kukuk, Martin & Liesenfeld, Roman, 2006. "Time series of count data: modeling, estimation and diagnostics," Computational Statistics & Data Analysis, Elsevier, vol. 51(4), pages 2350-2364, December.
    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. Heinen, Andréas & Rengifo, Erick, 2008. "Multivariate reduced rank regression in non-Gaussian contexts, using copulas," Computational Statistics & Data Analysis, Elsevier, vol. 52(6), pages 2931-2944, February.
    6. Martin D. D. Evans, 2017. "FX Trading and Exchange Rate Dynamics," World Scientific Book Chapters,in: Studies in Foreign Exchange Economics, chapter 5, pages 189-245 World Scientific Publishing Co. Pte. Ltd..
    7. 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.
    8. 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.
    9. 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.
    10. Danielsson, J. & Payne, R., 2002. "Real trading patterns and prices in spot foreign exchange markets," Journal of International Money and Finance, Elsevier, vol. 21(2), pages 203-222, April.
    11. 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.
    12. H. Henry Cao & Martin D. D. Evans & Richard K. Lyons, 2017. "Inventory Information," World Scientific Book Chapters,in: Studies in Foreign Exchange Economics, chapter 9, pages 363-413 World Scientific Publishing Co. Pte. Ltd..
    13. Rigby, R.A. & Stasinopoulos, D.M. & Akantziliotou, C., 2008. "A framework for modelling overdispersed count data, including the Poisson-shifted generalized inverse Gaussian distribution," Computational Statistics & Data Analysis, Elsevier, vol. 53(2), pages 381-393, December.
    14. 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.
    15. Ito, Takatoshi & Roley, V. Vance, 1987. "News from the U.S. and Japan : Which moves the yen/dollar exchange rate?," Journal of Monetary Economics, Elsevier, vol. 19(2), pages 255-277, March.
    16. Andrew J. Patton, 2006. "Estimation of multivariate models for time series of possibly different lengths," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(2), pages 147-173.
    17. 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.
    18. 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.
    19. Sapp, Stephen G., 2002. "Price Leadership in the Spot Foreign Exchange Market," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 37(03), pages 425-448, September.
    20. Heinen, Andreas & Rengifo, Erick, 2007. "Multivariate autoregressive modeling of time series count data using copulas," Journal of Empirical Finance, Elsevier, vol. 14(4), pages 564-583, September.
    21. 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..
    22. Höhle, Michael & Paul, Michaela, 2008. "Count data regression charts for the monitoring of surveillance time series," Computational Statistics & Data Analysis, Elsevier, vol. 52(9), pages 4357-4368, May.
    23. 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.
    24. HEINEN, Andréas, 2003. "Modelling time series count data: an autoregressive conditional Poisson model," CORE Discussion Papers 2003062, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    25. Cheung, Yin-Wong & Wong, Clement Yuk-Pang, 2000. "A survey of market practitioners' views on exchange rate dynamics," Journal of International Economics, Elsevier, vol. 51(2), pages 401-419, August.
    26. Alain P. Chaboud & Sergey V. Chernenko & Jonathan H. Wright, 2008. "Trading Activity and Macroeconomic Announcements in High-Frequency Exchange Rate Data," Journal of the European Economic Association, MIT Press, vol. 6(2-3), pages 589-596, 04-05.
    27. Lyons, Richard K., 1997. "A simultaneous trade model of the foreign exchange hot potato," Journal of International Economics, Elsevier, vol. 42(3-4), pages 275-298, May.
    28. 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. Aymen Belgacem & Anna Creti & Khaled Guesmi & Amine Lahiani, 2015. "Volatility spillovers and macroeconomic announcements: evidence from crude oil markets," Applied Economics, Taylor & Francis Journals, vol. 47(28), pages 2974-2984, June.
    2. repec:ipg:wpaper:2014-050 is not listed on IDEAS
    3. Walid Ben Omrane & Christian Hafner, 2015. "Macroeconomic news surprises and volatility spillover in foreign exchange markets," Empirical Economics, Springer, vol. 48(2), pages 577-607, March.
    4. Aymen Belgacem & Amine Lahiani, 2012. "More on the impact of US macroeconomic announcements: Evidence from French and German stock markets' volatility," Economics Bulletin, AccessEcon, vol. 32(2), pages 1509-1526.
    5. Vortelinos, Dimitrios I., 2015. "Out-of-sample evaluation of macro announcements, linearity, long memory, heterogeneity and jumps in mini-futures markets," Review of Financial Economics, Elsevier, vol. 27(C), pages 58-67.

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