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Informed Trading in an Electronic Foreign Exchange Market

Author

Listed:
  • Ramazan Gencay

    (Department of Economics, Simon Fraser University)

  • Nikola Gradojevic

    (Faculty of Business Administration, Lakehead University)

Abstract

We examine a recent set of high-frequency spot EUR-USD foreign exchange transaction data from an electronic foreign exchange market. Our framework is based on a continuous time-sequential microstructure trade model that measures the market makers beliefs directly. We present evidence of the strategic arrival of informed traders on a particular day of the week, time of day and geographic location (market).

Suggested Citation

  • Ramazan Gencay & Nikola Gradojevic, 2009. "Informed Trading in an Electronic Foreign Exchange Market," Working Paper series 24_09, Rimini Centre for Economic Analysis.
    • Handle: RePEc:rim:rimwps:24_09
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    Citations

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    Cited by:

    1. Sirimon Treepongkaruna & Robert Brooks & Stephen Gray, 2012. "Do trading hours affect volatility links in the foreign exchange market?," Australian Journal of Management, Australian School of Business, vol. 37(1), pages 7-27, April.
    2. Ledenyov, Dimitri O. & Ledenyov, Viktor O., 2015. "Wave function method to forecast foreign currencies exchange rates at ultra high frequency electronic trading in foreign currencies exchange markets," MPRA Paper 67470, University Library of Munich, Germany.
    3. K. Bień-Barkowska, 2013. "Informed and uninformed trading in the EUR/PLN spot market," Applied Financial Economics, Taylor & Francis Journals, vol. 23(7), pages 619-628, April.

    More about this item

    Keywords

    Foreign Exchange Markets; Volume; Informed Trading; Noise Trading;
    All these keywords.

    JEL classification:

    • G0 - Financial Economics - - General
    • G1 - Financial Economics - - General Financial Markets
    • F3 - International Economics - - International Finance

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