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Order Flow and Exchange Rate Dynamics in Electronic Brokerage System Data

Author

Listed:
  • David W. Berger
  • Alain P. Chaboud
  • Sergey V. Chernenko
  • Edward Howorka
  • Jonathan H. Wright

Abstract

We analyze the association between order flow and exchange rates using a new dataset representing a majority of global interdealer transactions in the two most-traded currency pairs. The data consist of six years (1999-2004) of order flow and exchange rate data for the euro-dollar and dollar-yen currency pairs at the one-minute frequency from EBS, the electronic broking system that now dominates interdealer spot trading in these currency pairs. This long span of high-frequency data allows us to gain new insights about the joint behavior of these series. We first confirm the presence of a substantial association between interdealer order flow and exchange rate returns at frequencies ranging from one minute to one week, but, using our long span of data, we find that the association is weaker at lower frequencies, with far less long-term association between cumulative order flow and long-term exchange rate movements. We study the linearity and time-variation of the association between high-frequency exchange rate returns and order flow, and document an intradaily pattern to the relationship: it is weakest at times when markets are most active. Overall, our study tends to support the view that, while order flow plays a crucial role in high-frequency exchange rate movements, its role in driving long-term fluctuations is much more limited.

Suggested Citation

  • David W. Berger & Alain P. Chaboud & Sergey V. Chernenko & Edward Howorka & Jonathan H. Wright, 2006. "Order Flow and Exchange Rate Dynamics in Electronic Brokerage System Data," International Finance Discussion Papers 830, Board of Governors of the Federal Reserve System (U.S.).
  • Handle: RePEc:fip:fedgif:830
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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. 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.
    3. Alain P. Chaboud & Sergey V. Chernenko & Edward Howorka & Raj S. Krishnasami Iyer & David Liu & Jonathan H. Wright, 2004. "The high-frequency effects of U.S. macroeconomic data releases on prices and trading activity in the global interdealer foreign exchange market," International Finance Discussion Papers 823, Board of Governors of the Federal Reserve System (U.S.).
    4. Killeen, William P. & Lyons, Richard K. & Moore, Michael J., 2006. "Fixed versus flexible: Lessons from EMS order flow," Journal of International Money and Finance, Elsevier, vol. 25(4), pages 551-579, June.
    5. Gonzalo, Jesus & Lee, Tae-Hwy, 1998. "Pitfalls in testing for long run relationships," Journal of Econometrics, Elsevier, vol. 86(1), pages 129-154, June.
    6. Breedon, Francis & Vitale, Paolo, 2004. "An empirical study of liquidity and information effects of order flow on exchange rates," Working Paper Series 424, European Central Bank.
    7. 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..
    8. Dunne, Peter & Hau, Harald & Moore, Michael, 2004. "Macroeconomic Order Flows: Explaining Equity and Exchange Rate Returns," CEPR Discussion Papers 4806, C.E.P.R. Discussion Papers.
    9. Peter C. B. Phillips & Bruce E. Hansen, 1990. "Statistical Inference in Instrumental Variables Regression with I(1) Processes," Review of Economic Studies, Oxford University Press, vol. 57(1), pages 99-125.
    10. Harald Hau & William Killeen & Michael Moore, 2002. "How has the euro changed the foreign exchange market? [‘The distribution of realized exchange rate volatility’]," Economic Policy, CEPR;CES;MSH, vol. 17(34), pages 149-192.
    11. Bjonnes, Geir Hoidal & Rime, Dagfinn & Solheim, Haakon O.Aa., 2005. "Liquidity provision in the overnight foreign exchange market," Journal of International Money and Finance, Elsevier, vol. 24(2), pages 175-196, March.
    12. Michael W. Brandt & Kenneth A. Kavajecz, 2004. "Price Discovery in the U.S. Treasury Market: The Impact of Orderflow and Liquidity on the Yield Curve," Journal of Finance, American Finance Association, vol. 59(6), pages 2623-2654, December.
    13. 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.
    14. Carlson, John A. & Lo, Melody, 2006. "One minute in the life of the DM/US$: Public news in an electronic market," Journal of International Money and Finance, Elsevier, vol. 25(7), pages 1090-1102, November.
    15. Payne, Richard, 2003. "Informed trade in spot foreign exchange markets: an empirical investigation," Journal of International Economics, Elsevier, vol. 61(2), pages 307-329, December.
    16. Jones, Charles M & Kaul, Gautam & Lipson, Marc L, 1994. "Transactions, Volume, and Volatility," Review of Financial Studies, Society for Financial Studies, vol. 7(4), pages 631-651.
    17. Love, Ryan & Payne, Richard, 2008. "Macroeconomic News, Order Flows, and Exchange Rates," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 43(2), pages 467-488, June.
    18. Charles Goodhart & Takatoshi Ito & Richard Payne, 1996. "One Day in June 1993: A Study of the Working of the Reuters 2000-2 Electronic Foreign Exchange Trading System," NBER Chapters, in: The Microstructure of Foreign Exchange Markets, pages 107-182, National Bureau of Economic Research, Inc.
    19. 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..
    20. Philippe Bacchetta & Eric Van Wincoop, 2006. "Can Information Heterogeneity Explain the Exchange Rate Determination Puzzle?," American Economic Review, American Economic Association, vol. 96(3), pages 552-576, June.
    21. Martin D. D. Evans(Georgetown University and NBER) and Richard K. Lyons(U.C. Berkeley and NBER, Haas School of Business), 2005. "Exchange Rate Fundamentals and Order Flow (July 2004)," Working Papers gueconwpa~05-05-03, Georgetown University, Department of Economics.
    22. Johansen, Soren, 1988. "Statistical analysis of cointegration vectors," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 231-254.
    23. 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.
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    More about this item

    Keywords

    Order flow; Foreign exchange; High-frequency data; News announcements; Micro exchange rate economics; Private information;
    All these keywords.

    JEL classification:

    • F31 - International Economics - - International Finance - - - Foreign Exchange
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

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