IDEAS home Printed from https://ideas.repec.org/a/mcb/jmoncb/v45y2013i5p953-965.html

Intraday Patterns in FX Returns and Order Flow

Author

Listed:
  • FRANCIS BREEDON
  • ANGELO RANALDO

Abstract

Using 10 years of high-frequency foreign exchange data, we present evidence of time-of-day effects in foreign exchange returns through a significant tendency for currencies to depreciate during local trading hours. We confirm this pattern across a range of currencies and find that, in the case of EUR/USD, it can form a simple, profitable trading strategy. We also find that this pattern is present in order flow and suggest that both patterns relate to the tendency of market participants to be net purchasers of foreign exchange in their own trading hours. Data from alternative sources appear to corroborate that interpretation.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Francis Breedon & Angelo Ranaldo, 2013. "Intraday Patterns in FX Returns and Order Flow," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 45(5), pages 953-965, August.
  • Handle: RePEc:mcb:jmoncb:v:45:y:2013:i:5:p:953-965
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1111/
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to look for a different version below or

    for a different version of it.

    Other versions of this item:

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Dyhrberg, Anne H. & Foley, Sean & Svec, Jiri, 2023. "When Bigger is Better: The Impact of a Tiny Tick Size on Undercutting Behavior," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 58(6), pages 2387-2416, September.
    2. Vitale, Paolo & Rime, Dagfinn & Breedon, Francis, 2010. "A Transaction Data Study of the Forward Bias Puzzle," CEPR Discussion Papers 7791, C.E.P.R. Discussion Papers.
    3. Jonathan Batten & Brian Lucey & Frank McGroarty & Maurice Peat & Andrew Urquhart, 2017. "Stylized facts of intraday precious metals," PLOS ONE, Public Library of Science, vol. 12(4), pages 1-21, April.
    4. Wang, Jinghua & Ngene, Geoffrey M., 2020. "Does Bitcoin still own the dominant power? An intraday analysis," International Review of Financial Analysis, Elsevier, vol. 71(C).
    5. Serdengeçti, Süleyman & Sensoy, Ahmet & Nguyen, Duc Khuong, 2021. "Dynamics of return and liquidity (co) jumps in emerging foreign exchange markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 73(C).
    6. Francis Breedon & Dagfinn Rime & Paolo Vitale, 2016. "Carry Trades, Order Flow, and the Forward Bias Puzzle," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 48(6), pages 1113-1134, September.
    7. Eross, Andrea & McGroarty, Frank & Urquhart, Andrew & Wolfe, Simon, 2019. "The intraday dynamics of bitcoin," Research in International Business and Finance, Elsevier, vol. 49(C), pages 71-81.
    8. Ingomar Krohn & Philippe Mueller & Paul Whelan, 2024. "Foreign Exchange Fixings and Returns around the Clock," Journal of Finance, American Finance Association, vol. 79(1), pages 541-578, February.
    9. Ranaldo, Angelo, 2009. "Segmentation and time-of-day patterns in foreign exchange markets," Journal of Banking & Finance, Elsevier, vol. 33(12), pages 2199-2206, December.
    10. Zhang, Hao, 2018. "Intraday patterns in foreign exchange returns and realized volatility," Finance Research Letters, Elsevier, vol. 27(C), pages 99-104.
    11. Ranaldo, Angelo & Somogyi, Fabricius, 2021. "Asymmetric information risk in FX markets," Journal of Financial Economics, Elsevier, vol. 140(2), pages 391-411.
    12. Wenqian Huang & Peter O'Neill & Angelo Ranaldo & Shihao Yu, 2023. "HFTs and Dealer Banks: Liquidity and Price Discovery in FX Trading," Swiss Finance Institute Research Paper Series 23-48, Swiss Finance Institute.
    13. Khademalomoom, Siroos & Narayan, Paresh Kumar, 2019. "Intraday effects of the currency market," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 58(C), pages 65-77.
    14. Nina Boyarchenko & Lars C Larsen & Paul Whelan & Stefano Giglio, 2023. "The Overnight Drift," The Review of Financial Studies, Society for Financial Studies, vol. 36(9), pages 3502-3547.
    15. Nina Karnaukh & Angelo Ranaldo & Paul Söderlind, 2015. "Understanding FX Liquidity," The Review of Financial Studies, Society for Financial Studies, vol. 28(11), pages 3073-3108.
    16. Dan Gabriel Anghel, 2020. "What Can Machine Learning Tell Us About Intraday Price Patterns in a Frontier Stock Market?," International Journal of Financial Research, International Journal of Financial Research, Sciedu Press, vol. 11(5), pages 205-220, October.
    17. Munazza Jabeen & Abdul Rashid, 2022. "Macroeconomic News and Exchange Rates: Exploring the Role of Order Flow," Global Journal of Emerging Market Economies, Emerging Markets Forum, vol. 14(2), pages 222-245, May.
    18. Melvin, Michael & Pan, Wenqiang & Wikstrom, Petra, 2020. "Retaining alpha: The effect of trade size and rebalancing frequency on FX strategy returns," Journal of Financial Markets, Elsevier, vol. 51(C).
    19. Sensoy, Ahmet & Serdengeçti, Süleyman, 2019. "Intraday volume-volatility nexus in the FX markets: Evidence from an emerging market," International Review of Financial Analysis, Elsevier, vol. 64(C), pages 1-12.
    20. Khademalomoom, Siroos & Narayan, Paresh Kumar, 2020. "Intraday-of-the-week effects: What do the exchange rate data tell us?," Emerging Markets Review, Elsevier, vol. 43(C).
    21. Leopoldo Catania & Mads Sandholdt, 2019. "Bitcoin at High Frequency," JRFM, MDPI, vol. 12(1), pages 1-20, February.
    22. Ranaldo, Angelo & de Magistris, Paolo Santucci, 2022. "Liquidity in the global currency market," Journal of Financial Economics, Elsevier, vol. 146(3), pages 859-883.
    23. Lee, Suzanne S. & Wang, Minho, 2020. "Tales of tails: Jumps in currency markets," Journal of Financial Markets, Elsevier, vol. 48(C).
    24. Bogousslavsky, Vincent, 2021. "The cross-section of intraday and overnight returns," Journal of Financial Economics, Elsevier, vol. 141(1), pages 172-194.
    25. Angelo Ranaldo & Paolo Santucci de Magistris, 2018. "Trading Volume, Illiquidity and Commonalities in FX Markets," Working Papers on Finance 1823, University of St. Gallen, School of Finance, revised Oct 2019.

    More about this item

    JEL classification:

    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

    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:mcb:jmoncb:v:45:y:2013:i:5:p:953-965. See general information about how to correct material in RePEc.

    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.

    We have no bibliographic references for this item. You can help adding them by using 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.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley-Blackwell Digital Licensing or Christopher F. Baum (email available below). General contact details of provider: http://www.blackwellpublishing.com/journal.asp?ref=0022-2879 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.