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Exchange Rate Fundamentals and Order Flow (July 2004)

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Abstract

This paper addresses the striking ability of transaction flows to explain exchange rate movements. Specifically, we examine whether this arises because transaction flows convey incremental information about fundamentals. If so, then these flows should affect price upon their realization and observation by price setters (marketmakers). Our model is a simple general equilibrium model of information aggregation that provides---in a setting of incomplete markets---a utility-based present-value representation for exchange rates. The model produces testable implications for the relationships between realized transaction flows, current and future exchange rate returns, and future fundamentals (e.g., money supplies). We then bring these implications to the data, making use of a new dataset covering over six years of transactions (which permits estimation at the monthly frequency). We find strong contemporanous effects of transaction flows on exchange rates, corroborating past findings. More importantly, we present four key findings that are both new to the literature and supportive of our model: (1) transaction flows forecast (Granger cause) future macroeconomic variables such as money growth, output growth, and inflation, (2) transaction flows forecast future exchange rates changes, and do so more effectively than forward discounts, (3) the future exchange rate components that current flows forecast are primarily the future non-flow-driven components, and (4) though flows convey new information about future fundamentals, much of this information is still not impounded in the exchange rate 9 months later. The slow pace of learning implies that abstracting from information aggregation---as is standard in exchange rate economics---is not innocuous.

Suggested Citation

  • 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.
  • Handle: RePEc:geo:guwopa:gueconwpa~05-05-03
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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. repec:wsi:wschap:9789813148543_0011 is not listed on IDEAS
    3. Kenneth A. Froot & Tarun Ramadorai, 2005. "Currency Returns, Intrinsic Value, and Institutional-Investor Flows," Journal of Finance, American Finance Association, vol. 60(3), pages 1535-1566, June.
    4. Charles Engel & Kenneth D. West, 2005. "Exchange Rates and Fundamentals," Journal of Political Economy, University of Chicago Press, vol. 113(3), pages 485-517, June.
    5. Martin D.D. Evans & Richard K. Lyons, 2004. "A New Micro Model of Exchange Rate Dynamics," NBER Working Papers 10379, National Bureau of Economic Research, Inc.
    6. Croushore, Dean & Stark, Tom, 2001. "A real-time data set for macroeconomists," Journal of Econometrics, Elsevier, vol. 105(1), pages 111-130, November.
    7. Martin D. D. Evans, 2005. "Where Are We Now? Real-Time Estimates of the Macroeconomy," International Journal of Central Banking, International Journal of Central Banking, vol. 1(2), September.
    8. Martin D. D. Evans & Richard K. Lyons, 2017. "Meese-Rogoff Redux: Micro-Based Exchange-Rate Forecasting," World Scientific Book Chapters,in: Studies in Foreign Exchange Economics, chapter 11, pages 457-475 World Scientific Publishing Co. Pte. Ltd..
    9. Martin D. D. Evans & Richard K. Lyons, 2017. "Informational Integration and FX Trading," World Scientific Book Chapters,in: Studies in Foreign Exchange Economics, chapter 7, pages 291-324 World Scientific Publishing Co. Pte. Ltd..
    10. Stark, Tom & Croushore, Dean, 2002. "Forecasting with a real-time data set for macroeconomists," Journal of Macroeconomics, Elsevier, vol. 24(4), pages 507-531, December.
    11. Carol L. Osler, 2001. "Currency orders and exchange-rate dynamics: explaining the success of technical analysis," Staff Reports 125, Federal Reserve Bank of New York.
    12. Cheung, Yin-Wong & Chinn, Menzie D. & Pascual, Antonio Garcia, 2005. "Empirical exchange rate models of the nineties: Are any fit to survive?," Journal of International Money and Finance, Elsevier, vol. 24(7), pages 1150-1175, November.
    13. Jeffrey A. Frankel & Andrew K. Rose, 1994. "A Survey of Empirical Research on Nominal Exchange Rates," NBER Working Papers 4865, National Bureau of Economic Research, Inc.
    14. Meese, Richard A. & Rogoff, Kenneth, 1983. "Empirical exchange rate models of the seventies : Do they fit out of sample?," Journal of International Economics, Elsevier, vol. 14(1-2), pages 3-24, February.
    15. Frankel, Jeffrey A. & Rose, Andrew K., 1995. "Empirical research on nominal exchange rates," Handbook of International Economics,in: G. M. Grossman & K. Rogoff (ed.), Handbook of International Economics, edition 1, volume 3, chapter 33, pages 1689-1729 Elsevier.
    16. Campbell, John Y. & Viceira, Luis M., 2002. "Strategic Asset Allocation: Portfolio Choice for Long-Term Investors," OUP Catalogue, Oxford University Press, number 9780198296942.
    17. Martin D. D. Evans & Richard K. Lyons, 2017. "Understanding Order Flow," World Scientific Book Chapters,in: Studies in Foreign Exchange Economics, chapter 13, pages 507-546 World Scientific Publishing Co. Pte. Ltd..
    18. 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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    Cited by:

    1. Paolo Vitale, 2007. "An assessment of some open issues in the analysis of foreign exchange intervention," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 12(2), pages 155-170.
    2. Berger, David W. & Chaboud, Alain P. & Chernenko, Sergey V. & Howorka, Edward & Wright, Jonathan H., 2008. "Order flow and exchange rate dynamics in electronic brokerage system data," Journal of International Economics, Elsevier, vol. 75(1), pages 93-109, May.
    3. Menkhoff, Lukas & Schmeling, Maik, 2008. "Local information in foreign exchange markets," Journal of International Money and Finance, Elsevier, vol. 27(8), pages 1383-1406, December.
    4. Kate Phylaktis & Long Chen, 2010. "Asymmetric information, price discovery and macroeconomic announcements in FX market: do top trading banks know more?," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 15(3), pages 228-246.

    More about this item

    Keywords

    Exchange Rate Dynamics; Microstructure; Order Flow.;

    JEL classification:

    • F3 - International Economics - - International Finance
    • F4 - International Economics - - Macroeconomic Aspects of International Trade and Finance
    • G1 - Financial Economics - - General Financial Markets

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