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An Improved Method to Predict Assignment of Stocks into Russell Indexes

Itzhak Ben-David, Francesco Franzoni and Rabih Moussawi
Additional contact information
Francesco Franzoni: USI Lugano; Swiss Finance Institute; Centre for Economic Policy Research (CEPR)
Rabih Moussawi: Villanova University - Department of Finance; University of Pennsylvania - The Wharton School

Working Paper Series from Ohio State University, Charles A. Dice Center for Research in Financial Economics

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).

JEL-codes: G12 G14 G15 (search for similar items in EconPapers)
Date: 2019-10
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Citations: View citations in EconPapers (5)

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http://ssrn.com/abstract=3465790

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Working Paper: An Improved Method to Predict Assignment of Stocks into Russell Indexes (2019) Downloads
Working Paper: An Improved Method to Predict Assignment of Stocks into Russell Indexes (2019) Downloads
Working Paper: An Improved Method to Predict Assignment of Stocks into Russell Indexes (2019) Downloads
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Persistent link: https://EconPapers.repec.org/RePEc:ecl:ohidic:2019-24

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