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Short-term trading skill: An analysis of investor heterogeneity and execution quality

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  • Sağlam, Mehmet
  • Moallemi, Ciamac C.
  • Sotiropoulos, Michael G.

Abstract

We examine short-horizon return predictability using a novel data set of institutional trades on large-cap U.S. stocks. We estimate investor-specific short-term trading skill and find that there is pronounced heterogeneity in predicting short-term returns among institutional investors. Incorporating short-term predictive ability, our model explains much higher fraction of variation in asset returns. Ignoring the heterogeneity in short-term trading skill can have major implications in modeling price impact. We uncover several stylized trading patterns of skilled trading: skilled investors choose larger trade sizes, avoid dark pools, and trade fewer stocks on any given day, but they do not time high-liquidity periods.

Suggested Citation

  • Sağlam, Mehmet & Moallemi, Ciamac C. & Sotiropoulos, Michael G., 2019. "Short-term trading skill: An analysis of investor heterogeneity and execution quality," Journal of Financial Markets, Elsevier, vol. 42(C), pages 1-28.
    • Handle: RePEc:eee:finmar:v:42:y:2019:i:c:p:1-28
    DOI: 10.1016/j.finmar.2018.12.002
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    Cited by:

    1. Zhu, Minchen & Lv, Dayong & Wu, Wenfeng, 2022. "Market stabilization fund and stock price crash risk: Evidence from the post-crash period," Journal of Economic Dynamics and Control, Elsevier, vol. 139(C).
    2. Bogousslavsky, Vincent & Collin-Dufresne, Pierre & Sağlam, Mehmet, 2021. "Slow-moving capital and execution costs: Evidence from a major trading glitch," Journal of Financial Economics, Elsevier, vol. 139(3), pages 922-949.
    3. Neumeier, Christian & Gozluklu, Arie & Hoffmann, Peter & O’Neill, Peter & Suntheim, Felix, 2023. "Banning dark pools: Venue selection and investor trading costs," Journal of Financial Markets, Elsevier, vol. 65(C).
    4. Eaton, Gregory W. & Irvine, Paul J. & Liu, Tingting, 2021. "Measuring institutional trading costs and the implications for finance research: The case of tick size reductions," Journal of Financial Economics, Elsevier, vol. 139(3), pages 832-851.
    5. Lien, Donald & Hung, Pi-Hsia & Chen, Hung-Ju, 2021. "Who knows more and makes more? A perspective of order submission decisions across investor types," The Quarterly Review of Economics and Finance, Elsevier, vol. 79(C), pages 381-398.
    6. Eraslan, Veysel & Omole, John & Sensoy, Ahmet & Ozdamar, Melisa, 2022. "Other people's money: A comparison of institutional investors," Emerging Markets Review, Elsevier, vol. 53(C).
    7. Saæglam, Mehmet & Tuzun, Tugkan & Wermers, Russ, 2021. "Do ETFs increase liquidity?," CFR Working Papers 21-03, University of Cologne, Centre for Financial Research (CFR).
    8. Brad Bachu & Xin Wan & Ciamac C. Moallemi, 2024. "Quantifying Price Improvement in Order Flow Auctions," Papers 2405.00537, arXiv.org, revised May 2024.

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    More about this item

    Keywords

    Short-term trading skill; Price impact; Execution costs;
    All these keywords.

    JEL classification:

    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G24 - Financial Economics - - Financial Institutions and Services - - - Investment Banking; Venture Capital; Brokerage

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