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How Brokers Facilitate Trade for Long-Term Clients in Competitive Securities Markets

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  • Aitken, Michael J
  • Garvey, Gerald T
  • Swan, Peter L

Abstract

In adverse-selection models of security market microstructure, a market maker could enhance efficiency if he or she were willing to sustain short-term trading losses. We show that this desirable activity can be supported as a self-enforcing agreement between broker-dealers and long-lived clients. An implication is that brokers who sustain such losses should charge higher fees to long-term clients for trades where the broker merely receives a commission. This prediction is supported by an analysis of brokerage rates on the Australian Stock Exchange. By contrast, market makers who make trading profits charge lower agency fees to large, long-term clients. Copyright 1995 by University of Chicago Press.

Suggested Citation

  • Aitken, Michael J & Garvey, Gerald T & Swan, Peter L, 1995. "How Brokers Facilitate Trade for Long-Term Clients in Competitive Securities Markets," The Journal of Business, University of Chicago Press, vol. 68(1), pages 1-33, January.
  • Handle: RePEc:ucp:jnlbus:v:68:y:1995:i:1:p:1-33
    DOI: 10.1086/296651
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    Citations

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    Cited by:

    1. Desgranges, Gabriel & Foucault, Thierry, 2005. "Reputation-based pricing and price improvements," Journal of Economics and Business, Elsevier, vol. 57(6), pages 493-527.
    2. Michael Aitken & Niall Almeida & Frederick H. deB. Harris & Thomas H. McInish, 2008. "Financial analysts and price discovery," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 48(1), pages 1-24, March.
    3. Ainsworth, Andrew & Lee, Adrian D., 2014. "Waiting costs and limit order book liquidity: Evidence from the ex-dividend deadline in Australia," Journal of Financial Markets, Elsevier, vol. 20(C), pages 101-128.
    4. Aitken, Michael & Frino, Alex, 1996. "The accuracy of the tick test: Evidence from the Australian stock exchange," Journal of Banking & Finance, Elsevier, vol. 20(10), pages 1715-1729, December.
    5. Brown, Philip & Thomson, Nathanial & Walsh, David, 1999. "Characteristics of the order flow through an electronic open limit order book," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 9(4), pages 335-357, November.
    6. Michail Anthropelos & Scott Robertson & Konstantinos Spiliopoulos, 2021. "Optimal investment, derivative demand, and arbitrage under price impact," Mathematical Finance, Wiley Blackwell, vol. 31(1), pages 3-35, January.
    7. Michail Anthropelos & Scott Robertson & Konstantinos Spiliopoulos, 2018. "Optimal Investment, Demand and Arbitrage under Price Impact," Papers 1804.09151, arXiv.org, revised Dec 2018.
    8. deB. Harris, Frederick H. & McInish, Thomas H. & Wood, Robert A., 2002. "Security price adjustment across exchanges: an investigation of common factor components for Dow stocks," Journal of Financial Markets, Elsevier, vol. 5(3), pages 277-308, July.
    9. W. Yang, 1999. "The Demand for and Supply of Shares. An Empirical Study of the Limit Order Book on the ASX," Economics Discussion / Working Papers 99-03, The University of Western Australia, Department of Economics.
    10. Aitken, Michael & Frino, Alex, 1996. "Execution costs associated with institutional trades on the Australian Stock Exchange," Pacific-Basin Finance Journal, Elsevier, vol. 4(1), pages 45-58, May.
    11. Gabre-Madhin, Eleni Z., 1999. "Transaction costs and market institutions," MTID discussion papers 31, International Food Policy Research Institute (IFPRI).
    12. Michael A. Goldstein & Paul Irvine & Eugene Kandel & Zvi Wiener, 2009. "Brokerage Commissions and Institutional Trading Patterns," The Review of Financial Studies, Society for Financial Studies, vol. 22(12), pages 5175-5212, December.

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