IDEAS home Printed from
MyIDEAS: Login to save this article or follow this journal

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

  • Ben Omrane, Walid
  • Heinen, Andréas

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.

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL:
Download Restriction: Full text for ScienceDirect subscribers only.

As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.

Article provided by Elsevier in its journal Computational Statistics & Data Analysis.

Volume (Year): 54 (2010)
Issue (Month): 11 (November)
Pages: 2419-2431

in new window

Handle: RePEc:eee:csdana:v:54:y:2010:i:11:p:2419-2431
Contact details of provider: Web page:

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

as in new window
  1. Heinen, Andreas, 2003. "Modelling Time Series Count Data: An Autoregressive Conditional Poisson Model," MPRA Paper 8113, University Library of Munich, Germany.
  2. Martin D. D. Evans, 2001. "FX Trading and Exchange Rate Dynamics," NBER Working Papers 8116, National Bureau of Economic Research, Inc.
  3. Anderson, Torben G. & Bollerslev, Tim & Diebold, Francis X. & Vega, Clara, 2002. "Micro Effects of Macro Announcements: Real-Time Price Discovery in Foreign Exchange," Working Papers 02-1, University of Pennsylvania, Wharton School, Weiss Center.
  4. Takatoshi Ito & Robert F. Engle & Wen-Ling Lin, 1990. "Where Does the Meteor Shower Come From? The Role of Stochastic Policy Coordination," NBER Working Papers 3504, National Bureau of Economic Research, Inc.
  5. BAUWENS, Luc & BEN OMRANE, Walid & GIOT, Pierre, . "News announcements, market activity and volatility in the euro/dollar foreign exchange market," CORE Discussion Papers RP 1787, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
  6. 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.
  7. 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.
  8. Richard K. Lyons, 1993. "Tests of Microstructural Hypotheses in the Foreign Exchange Market," NBER Working Papers 4471, National Bureau of Economic Research, Inc.
  9. 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.
  10. 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.
  11. Martin D.D. Evans, H. Henry Cao, Richard K. Lyons, 2003. "Inventory Information," Working Papers gueconwpa~03-03-33, Georgetown University, Department of Economics.
  12. 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.
  13. 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.
  14. 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 863-83, November.
  15. 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.
  16. 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.
  17. 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.
  18. 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.
  19. Michael Melvin & Xixi Yin, . "Public Information Arrival, Exchange Rate Volatility, and Quote Frequency," Working Papers 96/1, Arizona State University, Department of Economics.
  20. 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 525-42, May.
  21. 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.
  22. 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.
  23. Jon Danielsson & Richard Payne, 1999. "Real Trading Patterns and Prices in Spot Foreign Exchange Markets," FMG Discussion Papers dp320, Financial Markets Group.
  24. 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.
  25. 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.
  26. 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.
  27. 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.
  28. 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.
Full references (including those not matched with items on IDEAS)

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

When requesting a correction, please mention this item's handle: RePEc:eee:csdana:v:54:y:2010:i:11:p:2419-2431. See general information about how to correct material in RePEc.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Zhang, Lei)

If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

If references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.

If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.

Please note that corrections may take a couple of weeks to filter through the various RePEc services.

This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.