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Order Flow Information and Spot Rate Dynamics

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This paper examines why order flows are empirically important drivers of spot exchange rate dynamics. We consider a decomposition for the depreciation rate that must hold in any model and show that order flows will appear as important proximate drivers when they convey significant incremental information about future interest rate differentials, risk premiums and/or long-run exchange rate levels (i.e., information that cannot be inferred from publicly observed variables). We estimate the importance of these incremental information flows for the EURNOK spot exchange rate using eight years of high- quality, disaggregated, end-user order flow data collected by the Norges Bank.

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  • Martin Evans & Dagfinn Rime, 2015. "Order Flow Information and Spot Rate Dynamics," Working Papers gueconwpa~15-15-02, Georgetown University, Department of Economics.
  • Handle: RePEc:geo:guwopa:gueconwpa~15-15-02
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    1. King, Michael & Sarno, Lucio & Sojli, Elvira, 2010. "Timing exchange rates using order flow: The case of the Loonie," Journal of Banking & Finance, Elsevier, vol. 34(12), pages 2917-2928, December.
    2. 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..
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    5. 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.
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    12. Martin D. D. Evans & Richard K. Lyons, 2017. "Do Currency Markets Absorb News Quickly?," World Scientific Book Chapters, in: Studies in Foreign Exchange Economics, chapter 12, pages 477-505, World Scientific Publishing Co. Pte. Ltd..
    13. Rime, Dagfinn & Sarno, Lucio & Sojli, Elvira, 2010. "Exchange rate forecasting, order flow and macroeconomic information," Journal of International Economics, Elsevier, vol. 80(1), pages 72-88, January.
    14. 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..
    15. 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..
    16. Martin D. D. Evans, 2017. "Exchange-Rate Dark Matter," World Scientific Book Chapters, in: Studies in Foreign Exchange Economics, chapter 4, pages 101-185, World Scientific Publishing Co. Pte. Ltd..
    17. Kyle, Albert S, 1985. "Continuous Auctions and Insider Trading," Econometrica, Econometric Society, vol. 53(6), pages 1315-1335, November.
    18. Menzie D. Chinn & Michael J. Moore, 2011. "Order Flow and the Monetary Model of Exchange Rates: Evidence from a Novel Data Set," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 43(8), pages 1599-1624, December.
    19. Mintao Fan & Richard K. Lyons, 2003. "Customer trades and extreme events in foreign exchange," Chapters, in: Paul Mizen (ed.), Monetary History, Exchange Rates and Financial Markets, chapter 6, Edward Elgar Publishing.
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    2. Yu‐Lun Chen & Yin‐Feng Gau, 2022. "The information effect of order flows in foreign currency futures and spot markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 42(8), pages 1549-1572, August.
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    More about this item

    Keywords

    exchange rate dynamics; microstructure; order flow.;
    All these keywords.

    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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