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Measuring institutional trading costs and the implications for finance research: The case of tick size reductions

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  • Eaton, Gregory W.
  • Irvine, Paul J.
  • Liu, Tingting

Abstract

Using proprietary institutional trade data, we construct a price impact measure that represents the costs faced by institutional investors. We show that many widely used liquidity measures do not adequately capture institutional trading costs. We then find that institutional trading costs are not dramatically impacted by decimalization, casting doubt on the widely used identification strategy that employs decimalization as an exogenous shock to liquidity, particularly institutional liquidity. Indeed, we find that conclusions from prior research are significantly altered when we measure liquidity using institutional trading data.

Suggested Citation

  • 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.
  • Handle: RePEc:eee:jfinec:v:139:y:2021:i:3:p:832-851
    DOI: 10.1016/j.jfineco.2020.09.003
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    Cited by:

    1. Maruyama, Hiroyuki & Tabata, Tomoaki, 2022. "Timing of tick size reduction: Threshold and smooth transition model analysis," Finance Research Letters, Elsevier, vol. 45(C).
    2. Raymond Kan & Xiaolu Wang & Guofu Zhou, 2022. "Optimal Portfolio Choice with Estimation Risk: No Risk-Free Asset Case," Management Science, INFORMS, vol. 68(3), pages 2047-2068, March.

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    More about this item

    Keywords

    Decimalization; Institutional trading costs; Market microstructure; Stock liquidity; Tick size reductions;
    All these keywords.

    JEL classification:

    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • G20 - Financial Economics - - Financial Institutions and Services - - - General

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