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Whose trades convey information? Evidence from a cross-section of traders

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  • Menkhoff, Lukas
  • Schmeling, Maik

Abstract

This paper contributes empirically to our understanding of informed traders. It analyzes traders' characteristics in a foreign exchange electronic limit order market via anonymous trader identities. We use six indicators of informed trading in a cross-sectional multivariate approach to identify traders with high price impact. More information is conveyed by those traders' trades which--simultaneously--use medium-sized orders (practice stealth trading), have large trading volume, are located in a financial center, trade early in the trading session, at times of wide spreads and when the order book is thin.

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Bibliographic Info

Article provided by Elsevier in its journal Journal of Financial Markets.

Volume (Year): 13 (2010)
Issue (Month): 1 (February)
Pages: 101-128

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Handle: RePEc:eee:finmar:v:13:y:2010:i:1:p:101-128

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Web page: http://www.elsevier.com/locate/finmar

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Keywords: Market microstructure Informed trading Trade size Foreign exchange;

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Citations

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Cited by:
  1. King, Michael R. & Osler, Carol L. & Rime, Dagfinn, 2013. "The market microstructure approach to foreign exchange: Looking back and looking forward," Journal of International Money and Finance, Elsevier, vol. 38(C), pages 95-119.
  2. Lukas Mankhoff & Lucio Sarno & Maik Schmeling & Andreas Schrimpf, 2013. "Information Flows in Dark Markets: Dissecting Customer Currency Trades," BIS Working Papers 405, Bank for International Settlements.
  3. Lukas Menkhoff & Carol L. Osler & Maik Schmeling, 2010. "Limit-Order Submission Strategies under Asymmetric Information," CESifo Working Paper Series 3054, CESifo Group Munich.
  4. Gençay, Ramazan & Gradojevic, Nikola, 2013. "Private information and its origins in an electronic foreign exchange market," Economic Modelling, Elsevier, vol. 33(C), pages 86-93.
  5. Schreiber, Ben Z., 2014. "Identifying speculators in the FX market: A microstructure approach," Journal of Economics and Business, Elsevier, vol. 73(C), pages 97-119.
  6. M. Frömmel & F Van Gysegem, 2014. "Bid-Ask Spread Components on the Foreign Exchange Market: Quantifying the Risk Component," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 14/878, Ghent University, Faculty of Economics and Business Administration.
  7. Moore, Michael J. & Payne, Richard, 2011. "On the sources of private information in FX markets," Journal of Banking & Finance, Elsevier, vol. 35(5), pages 1250-1262, May.
  8. Ligon, James A. & Liu, Hao-Chen, 2013. "The relation of trade size and price contribution in a traditional foreign exchange brokered market," Pacific-Basin Finance Journal, Elsevier, vol. 21(1), pages 1024-1045.
  9. Fricke, Christoph & Menkhoff, Lukas, 2010. "Does the "Bund" dominate price discovery in Euro bond futures? Examining information shares," Hannover Economic Papers (HEP) dp-449, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
  10. Menkhoff, Lukas & Schmeling, Maik, 2009. "Trader see, trader do: How do (small) FX traders react to large counterparties' trades?," Hannover Economic Papers (HEP) dp-415, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
  11. Kate Phylaktis & Long Chen, 2010. "Asymmetric information, price discovery and macroeconomic announcements in FX market: do top trading banks know more?," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 15(3), pages 228-246.

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