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Segmentation and time-of-day patterns in foreign exchange markets

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  • Ranaldo, Angelo

Abstract

This paper sheds light on a puzzling pattern in spot foreign exchange markets: domestic currencies appreciate (depreciate) systematically during foreign (domestic) working hours. This phenomenon spans many years and several exchange rates, and overrides calendar effects. We argue that it is mainly due to liquidity and inventory patterns that emerge from the combination of two factors: domestic agents tend to be net buyers of foreign currency and to trade mostly in their country's working hours. The prevalence of domestic (foreign) traders demanding the counterpart currency during domestic (foreign) working hours implies sell-price (buy-price) pressure on the domestic currency during domestic (foreign) working hours.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:jbfina:v:33:y:2009:i:12:p:2199-2206
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    3. 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.
    4. 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.
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    8. Menkhoff, Lukas & Osler, Carol L. & Schmeling, Maik, 2010. "Limit-order submission strategies under asymmetric information," Journal of Banking & Finance, Elsevier, vol. 34(11), pages 2665-2677, November.
    9. Ranaldo, Angelo & Somogyi, Fabricius, 2021. "Asymmetric information risk in FX markets," Journal of Financial Economics, Elsevier, vol. 140(2), pages 391-411.
    10. 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).
    11. Ramazan Gençay & Nikola Gradojevic & Richard Olsen & Faruk Selçuk, 2015. "Informed traders’ arrival in foreign exchange markets: Does geography matter?," Empirical Economics, Springer, vol. 49(4), pages 1431-1462, December.
    12. Klee, Elizabeth, 2010. "Operational outages and aggregate uncertainty in the federal funds market," Journal of Banking & Finance, Elsevier, vol. 34(10), pages 2386-2402, October.
    13. Ingomar Krohn & Philippe Mueller & Paul Whelan, 2021. "Foreign Exchange Fixings and Returns Around the Clock," Staff Working Papers 21-48, Bank of Canada.
    14. Zhang, Hao, 2018. "Intraday patterns in foreign exchange returns and realized volatility," Finance Research Letters, Elsevier, vol. 27(C), pages 99-104.
    15. Boyarchenko, Nina & Larsen, Lars & Whelan, Paul, 2020. "The Overnight Drift," CEPR Discussion Papers 14462, C.E.P.R. Discussion Papers.
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    17. Charles S. Bos, 2008. "Model-based Estimation of High Frequency Jump Diffusions with Microstructure Noise and Stochastic Volatility," Tinbergen Institute Discussion Papers 08-011/4, Tinbergen Institute.

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    More about this item

    Keywords

    Exchange rates Time-of-day patterns Market segmentation Microstructure Calendar effects Liquidity Inventory High-frequency data;

    JEL classification:

    • F31 - International Economics - - International Finance - - - Foreign Exchange
    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

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