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Lack of Anonymity and the Inference from Order Flow

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  • Juhani T. Linnainmaa
  • Gideon Saar

Abstract

This article investigates the information content of signals about the identity of investors and their role in price formation. Whereas we document that investors use multiple brokers, broker identity is nevertheless a powerful signal about the identity of investors who initiate trades. The market also correctly processes this signal: the permanent price impact of orders coming from different brokers fits the information profile of the investors associated with these brokers. Our results suggest that an increase in the degree of anonymity may render order flow less informative, which could explain why the literature has documented liquidity improvements in exchanges that reduce transparency. The Author 2012. Published by Oxford University Press on behalf of The Society for Financial Studies. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com., Oxford University Press.

Suggested Citation

  • Juhani T. Linnainmaa & Gideon Saar, 2012. "Lack of Anonymity and the Inference from Order Flow," Review of Financial Studies, Society for Financial Studies, vol. 25(5), pages 1414-1456.
  • Handle: RePEc:oup:rfinst:v:25:y:2012:i:5:p:1414-1456
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    File URL: http://hdl.handle.net/10.1093/rfs/hhs002
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    Cited by:

    1. Duong, Huu Nhan & Kalev, Petko S., 2013. "Anonymity and order submissions," Pacific-Basin Finance Journal, Elsevier, pages 101-118.
    2. de Frutos, M. Ángeles & Manzano, Carolina, 2014. "Market transparency, market quality, and sunshine trading," Journal of Financial Markets, Elsevier, vol. 17(C), pages 174-198.
    3. Thu Phuong Pham, 2015. "Broker ID transparency and price impact of trades: evidence from the Korean Exchange," International Journal of Managerial Finance, Emerald Group Publishing, vol. 11(1), pages 117-131, February.
    4. Pham, Thu Phuong & Westerholm, P. Joakim, 2013. "A survey of research into broker identity and limit order book," Working Papers 17212, University of Tasmania, Tasmanian School of Business and Economics, revised 16 Oct 2013.
    5. Tarishi Matsuoka & Makoto Watanabe, 2017. "Banking Panics and Liquidity in a Monetary Economy," CESifo Working Paper Series 6722, CESifo Group Munich.
    6. repec:uts:finphd:34 is not listed on IDEAS
    7. Vasios, Michalis & Payne, Richard & Nolte, Ingmar, 2015. "Profiting from Mimicking Strategies in Non-Anonymous Markets," MPRA Paper 61710, University Library of Munich, Germany.
    8. Tóth, Bence & Palit, Imon & Lillo, Fabrizio & Farmer, J. Doyne, 2015. "Why is equity order flow so persistent?," Journal of Economic Dynamics and Control, Elsevier, vol. 51(C), pages 218-239.
    9. Piccotti, Louis R. & Schreiber, Ben Z., 2015. "Information shares of two parallel currency options markets: Trading costs versus transparency/tradability," Journal of Empirical Finance, Elsevier, pages 210-229.
    10. Duong, Huu Nhan & Kalev, Petko S., 2014. "Anonymity and the Information Content of the Limit Order Book," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 30(C), pages 205-219.
    11. Murphy Jun Jie Lee, 2013. "The Microstructure of Trading Processes on the Singapore Exchange," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 4.
    12. Friederich, Sylvain & Payne, Richard, 2014. "Trading anonymity and order anticipation," Journal of Financial Markets, Elsevier, vol. 21(C), pages 1-24.

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