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Measures of implicit trading costs and buy-sell asymmetry

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  • Hu, Gang

Abstract

This paper shows that the widely documented buy-sell asymmetry in implicit institutional trading cost is mainly driven by mechanical characteristics of a specific class of measures: pre-trade measures. If a post-trade measure is used, the asymmetry is reversed in both rising and falling markets. Both pre-trade and post-trade measures are highly influenced by market movement, while during-trade measures are relatively neutral to market movement. I further show that a pre-trade measure can be decomposed into a market movement component and a during-trade measure, and empirically the market movement component is the dominant component. This paper demonstrates that simple mechanical characteristics of trading cost measures can have important implications for how empirical results are interpreted.

Suggested Citation

  • Hu, Gang, 2009. "Measures of implicit trading costs and buy-sell asymmetry," Journal of Financial Markets, Elsevier, vol. 12(3), pages 418-437, August.
  • Handle: RePEc:eee:finmar:v:12:y:2009:i:3:p:418-437
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    Cited by:

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    2. Chakravarty, Sugato & Ray, Rina, 2020. "On short-term institutional trading skill, behavioral biases, and liquidity need," Journal of Corporate Finance, Elsevier, vol. 65(C).
    3. Bhattacharya, Utpal & Wei, Kelsey D. & Xia, Han, 2019. "Follow the money: Investor trading around investor-paid credit rating changes," Journal of Corporate Finance, Elsevier, vol. 58(C), pages 68-91.
    4. Alexander Eisele & Tamara Nefedova & Gianpaolo Parise, 2015. "Are Star Funds Really Shining? Cross-trading And Performance Shifting In Mutual Fund Families," Post-Print hal-01458357, HAL.
    5. Ryan GARVEY & Fei WU, 2012. "Are Market Center Trading Cost Measures Reliable?," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 62(6), pages 505-517, December.
    6. Azi Ben-Rephael & Ryan D Israelsen, 2018. "Are Some Clients More Equal Than Others? An Analysis of Asset Management Companies’ Execution Costs [An analysis of trade-size clustering and its relation to stealth trading]," Review of Finance, European Finance Association, vol. 22(5), pages 1705-1736.
    7. Hu, Gang & Jo, Koren M. & Wang, Yi Alex & Xie, Jing, 2018. "Institutional trading and Abel Noser data," Journal of Corporate Finance, Elsevier, vol. 52(C), pages 143-167.
    8. Brennan, Michael J. & Chordia, Tarun & Subrahmanyam, Avanidhar & Tong, Qing, 2012. "Sell-order liquidity and the cross-section of expected stock returns," Journal of Financial Economics, Elsevier, vol. 105(3), pages 523-541.
    9. Qin Lei & Murli Rajan & Xuewu Wang, 2012. "An empirical analysis of corporate insiders' trading performance," China Finance Review International, Emerald Group Publishing Limited, vol. 2(3), pages 246-264, June.
    10. Chiyachantana, Chiraphol & Jain, Pankaj K. & Jiang, Christine & Sharma, Vivek, 2017. "Permanent price impact asymmetry of trades with institutional constraints," Journal of Financial Markets, Elsevier, vol. 36(C), pages 1-16.
    11. Barardehi, Yashar H. & Bernhardt, Dan & Da, Zhi & Mitch Warachka, Mitch, 2022. "Institutional Liquidity Demand and the Internalization of Retail Order Flow : The Tail Does Not Wag the Dog," The Warwick Economics Research Paper Series (TWERPS) 1394, University of Warwick, Department of Economics.
    12. Chen, Yangyang & Hu, Gang & Yu, Danlei Bonnie & Zhao, Jingran, 2019. "Catastrophic risk and institutional investors: Evidence from institutional trading around 9/11," Pacific-Basin Finance Journal, Elsevier, vol. 56(C), pages 211-233.
    13. Henderson, Brian J. & Pearson, Neil D., 2011. "The dark side of financial innovation: A case study of the pricing of a retail financial product," Journal of Financial Economics, Elsevier, vol. 100(2), pages 227-247, May.

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