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Order Flows, News, and Exchange Rate Volatility

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  • M. FRÖMMEL

    ()

  • A. MENDE
  • L. MENKHOFF

Abstract

This paper examines the roles of order flow (reflecting private information) and news (reflecting public information) in explaining exchange rate volatility. Analyzing four months of a bank’s high frequency US dollar-euro trading, three different kinds of order flow are used in addition to seasonal patterns in explaining volatility. We find that only larger sized order flows from financial customers and banks – indicating informed trading – contribute to explaining volatility, whereas flows from commercial customers do not. The result is robust when we control for news and other measures of market activity. This strengthens the view that exchange rate volatility reflects information processing.

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Bibliographic Info

Paper provided by Ghent University, Faculty of Economics and Business Administration in its series Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium with number 07/474.

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Length: 27 pages
Date of creation: Jun 2007
Date of revision:
Handle: RePEc:rug:rugwps:07/474

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Keywords: exchange rate; market microstructure; order flow; financial customer orders; volatility patterns;

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References

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  1. Yin-Wong Cheung & Menzie D. Chinn, 2000. "Currency Traders and Exchange Rate Dynamics: A Survey of the U.S. Market," CESifo Working Paper Series 251, CESifo Group Munich.
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Citations

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Cited by:
  1. Michael Frömmel & Norbert Kiss M. & Klára Pintér, 2009. "Macroeconomic announcements, communication and order flow on the Hungarian foreign exchange market," MNB Working Papers 2009/3, Magyar Nemzeti Bank (the central bank of Hungary).
  2. Christopher J. Neely & Brett W. Fawley, 2012. "Capital Flows And Japanese Asset Volatility," Pacific Economic Review, Wiley Blackwell, vol. 17(3), pages 391-414, 08.
  3. Michael R. King & Carol Osler & Dagfinn Rime, 2013. "The market microstructure approach to foreign exchange - Looking back and looking forward," Working Paper 2013/12, Norges Bank.
  4. Osler, Carol L. & Mende, Alexander & Menkhoff, Lukas, 2011. "Price discovery in currency markets," Journal of International Money and Finance, Elsevier, vol. 30(8), pages 1696-1718.
  5. Fatum, Rasmus & Hutchison, Michael & Wu, Thomas, 2012. "Asymmetries and state dependence: The impact of macro surprises on intraday exchange rates," Journal of the Japanese and International Economies, Elsevier, vol. 26(4), pages 542-560.
  6. Yuliya Lovcha & Alejandro Perez-Laborda, 2010. "Is exchange rate – customer order flow relationship linear? Evidence from the Hungarian FX market," MNB Working Papers 2010/10, Magyar Nemzeti Bank (the central bank of Hungary).
  7. Huang, Alex YiHou & Peng, Sheng-Pen & Li, Fangjhy & Ke, Ching-Jie, 2011. "Volatility forecasting of exchange rate by quantile regression," International Review of Economics & Finance, Elsevier, vol. 20(4), pages 591-606, October.
  8. Deniz Erdemlioglu & Sébastien Laurent & Christopher J. Neely, 2012. "Econometric modeling of exchange rate volatility and jumps," Working Papers 2012-008, Federal Reserve Bank of St. Louis.
  9. Hyun Kook Shin & Byoung Hark Yoo, 2012. "The Volatility Of The Won-Dollar Exchange Rate During The 2008-9 Crisis," Journal of Economic Development, Chung-Ang Unviersity, Department of Economics, vol. 37(4), pages 61-77, December.

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