IDEAS home Printed from https://ideas.repec.org/a/eee/jimfin/v77y2017icp199-215.html
   My bibliography  Save this article

Order flow and exchange rate comovement

Author

Listed:
  • Kleinbrod, Vincent M.
  • Li, Xiao-Ming

Abstract

This paper extends the literature on the linkage between order flows and exchange rates from the univariate to the multivariate framework. We examine how order flow differentials drive exchange rate comovements using data on five major exchange rates and at three different intraday frequencies. We also control for bid-ask spreads and the possible effects of order flow on returns and return volatility, and employ alternative order flow measures. Our results show that the effect of order flow on exchange rate comovements is significantly negative during the tranquil period but can become positive during the turbulet period. This negative effect lessens as the intraday frequency lowers. Generally over the entire sample period, exchange rate correlations are stronger during joint appreciations than joint depreciations.

Suggested Citation

  • Kleinbrod, Vincent M. & Li, Xiao-Ming, 2017. "Order flow and exchange rate comovement," Journal of International Money and Finance, Elsevier, vol. 77(C), pages 199-215.
    • Handle: RePEc:eee:jimfin:v:77:y:2017:i:c:p:199-215
    DOI: 10.1016/j.jimonfin.2017.07.022
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0261560617301432
    Download Restriction: Full text for ScienceDirect subscribers only

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    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. Robert F. Engle & Kevin Sheppard, 2001. "Theoretical and Empirical properties of Dynamic Conditional Correlation Multivariate GARCH," NBER Working Papers 8554, National Bureau of Economic Research, Inc.
    3. Madhavan, Ananth, 2000. "Market microstructure: A survey," Journal of Financial Markets, Elsevier, vol. 3(3), pages 205-258, August.
    4. Beine, Michel & Grauwe, Paul De & Grimaldi, Marianna, 2009. "The impact of FX central bank intervention in a noise trading framework," Journal of Banking & Finance, Elsevier, vol. 33(7), pages 1187-1195, July.
    5. Dick van Dijk & Haris Munandar & Christian Hafner, 2011. "The euro introduction and noneuro currencies," Applied Financial Economics, Taylor & Francis Journals, vol. 21(1-2), pages 95-116.
    6. Jón Daníelsson & Jinhui Luo & Richard Payne, 2012. "Exchange rate determination and inter-market order flow effects," The European Journal of Finance, Taylor & Francis Journals, vol. 18(9), pages 823-840, October.
    7. Bauwens, Luc & Ben Omrane, Walid & Giot, Pierre, 2005. "News announcements, market activity and volatility in the euro/dollar foreign exchange market," Journal of International Money and Finance, Elsevier, vol. 24(7), pages 1108-1125, November.
    8. Ian W. Marsh & Teng Miao, 2012. "High-frequency information content in end-user foreign exchange order flows," The European Journal of Finance, Taylor & Francis Journals, vol. 18(9), pages 865-884, October.
    9. 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.
    10. Li, Xiao-Ming, 2011. "How do exchange rates co-move? A study on the currencies of five inflation-targeting countries," Journal of Banking & Finance, Elsevier, vol. 35(2), pages 418-429, February.
    11. Cerrato, Mario & Kim, Hyunsok & MacDonald, Ronald, 2015. "Microstructure order flow: statistical and economic evaluation of nonlinear forecasts," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 39(C), pages 40-52.
    12. 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.
    13. Dagfinn Rime & Hans Jørgen Tranvåg, 2012. "Flows Of The Pacific: Asian Foreign Exchange Markets Through Tranquility And Turbulence," Pacific Economic Review, Wiley Blackwell, vol. 17(3), pages 434-466, August.
    14. 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.
    15. Beine, Michel, 2004. "Conditional covariances and direct central bank interventions in the foreign exchange markets," Journal of Banking & Finance, Elsevier, vol. 28(6), pages 1385-1411, June.
    16. Lyons, Richard K. & Moore, Michael J., 2009. "An information approach to international currencies," Journal of International Economics, Elsevier, vol. 79(2), pages 211-221, November.
    17. Lovcha, Yuliya & Perez-Laborda, Alejandro, 2013. "Is exchange rate – Customer order flow relationship linear? Evidence from the Hungarian FX market," Journal of International Money and Finance, Elsevier, vol. 35(C), pages 20-35.
    18. Jón Daníelsson & Richard Payne, 2012. "Liquidity determination in an order-driven market," The European Journal of Finance, Taylor & Francis Journals, vol. 18(9), pages 799-821, October.
    19. 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.
    20. Wu, Chih-Chiang & Chung, Huimin & Chang, Yu-Hsien, 2012. "The economic value of co-movement between oil price and exchange rate using copula-based GARCH models," Energy Economics, Elsevier, vol. 34(1), pages 270-282.
    21. Qianqiu Liu, 2009. "On portfolio optimization: How and when do we benefit from high-frequency data?," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 24(4), pages 560-582.
    22. Hibbert, Ann Marie & Daigler, Robert T. & Dupoyet, Brice, 2008. "A behavioral explanation for the negative asymmetric return-volatility relation," Journal of Banking & Finance, Elsevier, vol. 32(10), pages 2254-2266, October.
    23. 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..
    24. Manzan, Sebastiano & Westerhoff, Frank, 2005. "Representativeness of news and exchange rate dynamics," Journal of Economic Dynamics and Control, Elsevier, vol. 29(4), pages 677-689, April.
    25. Lobato, Ignacio & Nankervis, John C & Savin, N E, 2001. "Testing for Autocorrelation Using a Modified Box-Pierce Q Test," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 42(1), pages 187-205, February.
    26. Sigridur Benediktsdottir & Chiara Scotti, 2009. "Exchange rates dependence: what drives it?," International Finance Discussion Papers 969, Board of Governors of the Federal Reserve System (U.S.), revised 2009.
    27. Andrew J. Patton, 2006. "Modelling Asymmetric Exchange Rate Dependence," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 47(2), pages 527-556, May.
    Full references (including those not matched with items on IDEAS)

    More about this item

    Keywords

    Order flow; Exchange rate comovement; FX market;

    JEL classification:

    • F4 - International Economics - - Macroeconomic Aspects of International Trade and Finance
    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
    • C5 - Mathematical and Quantitative Methods - - Econometric Modeling

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:jimfin:v:77:y:2017:i:c:p:199-215. 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: (Haili He). General contact details of provider: http://www.elsevier.com/locate/inca/30443 .

    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 CitEc recognized a reference but did not link an item in RePEc 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 RePEc Author Service 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.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.