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An Improved Method to Predict Assignment of Stocks into Russell Indexes

Author

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  • Ben-David, Itzhak

    (Ohio State University (OSU) - Department of Finance; National Bureau of Economic Research (NBER))

  • Franzoni, Francesco

    (USI Lugano; Swiss Finance Institute; Centre for Economic Policy Research (CEPR))

  • Moussawi, Rabih

    (Villanova University - Department of Finance; University of Pennsylvania - The Wharton School)

Abstract

A growing literature uses the Russell 1000/2000 reconstitution event as an identification strategy to investigate corporate finance and asset pricing questions. To implement this identification strategy, researchers need to approximate the ranking variable used to assign stocks to indexes. We develop a procedure that predicts assignment to the Russell 1000/2000 with significant improvements relative to previous approaches. We apply this methodology to extend the tests in Ben-David, Franzoni, and Moussawi (2018).

Suggested Citation

  • Ben-David, Itzhak & Franzoni, Francesco & Moussawi, Rabih, 2019. "An Improved Method to Predict Assignment of Stocks into Russell Indexes," Working Paper Series 2019-24, Ohio State University, Charles A. Dice Center for Research in Financial Economics.
    • Handle: RePEc:ecl:ohidic:2019-24
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    References listed on IDEAS

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    1. David S. Lee & Thomas Lemieux, 2010. "Regression Discontinuity Designs in Economics," Journal of Economic Literature, American Economic Association, vol. 48(2), pages 281-355, June.
    2. Itzhak Ben‐David & Francesco Franzoni & Rabih Moussawi, 2018. "Do ETFs Increase Volatility?," Journal of Finance, American Finance Association, vol. 73(6), pages 2471-2535, December.
    3. Schmidt, Cornelius & Fahlenbrach, Rüdiger, 2017. "Do exogenous changes in passive institutional ownership affect corporate governance and firm value?," Journal of Financial Economics, Elsevier, vol. 124(2), pages 285-306.
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    6. Andrew Bird & Stephen A. Karolyi, 2016. "Do Institutional Investors Demand Public Disclosure?," The Review of Financial Studies, Society for Financial Studies, vol. 29(12), pages 3245-3277.
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    10. Alan D. Crane & Sébastien Michenaud & James P. Weston, 2016. "Editor's Choice The Effect of Institutional Ownership on Payout Policy: Evidence from Index Thresholds," The Review of Financial Studies, Society for Financial Studies, vol. 29(6), pages 1377-1408.
    11. Appel, Ian R. & Gormley, Todd A. & Keim, Donald B., 2016. "Passive investors, not passive owners," Journal of Financial Economics, Elsevier, vol. 121(1), pages 111-141.
    12. Boone, Audra L. & White, Joshua T., 2015. "The effect of institutional ownership on firm transparency and information production," Journal of Financial Economics, Elsevier, vol. 117(3), pages 508-533.
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    Cited by:

    1. Ormazabal, Gaizka & Azar, José & Duro, Miguel & Kadach, Igor, 2020. "The Big Three and Corporate Carbon Emissions Around the World," CEPR Discussion Papers 15522, C.E.P.R. Discussion Papers.
    2. Azar, José & Duro, Miguel & Kadach, Igor & Ormazabal, Gaizka, 2021. "The Big Three and corporate carbon emissions around the world," Journal of Financial Economics, Elsevier, vol. 142(2), pages 674-696.
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    5. Coles, Jeffrey L. & Heath, Davidson & Ringgenberg, Matthew C., 2022. "On index investing," Journal of Financial Economics, Elsevier, vol. 145(3), pages 665-683.

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    More about this item

    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
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

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