An Improved Method to Predict Assignment of Stocks into Russell Indexes

43 Pages Posted: 1 Nov 2019 Last revised: 15 Nov 2019

See all articles by Itzhak Ben-David

Itzhak Ben-David

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

Francesco A. 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

Multiple version iconThere are 3 versions of this paper

Date Written: October 14, 2019

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).

Keywords: Russell, institutional investors, ETFs, volatility

JEL Classification: G12, G14, G15

Suggested Citation

Ben-David, Itzhak and Franzoni, Francesco A. and Moussawi, Rabih, An Improved Method to Predict Assignment of Stocks into Russell Indexes (October 14, 2019). Swiss Finance Institute Research Paper No. 19-56. Available at SSRN: https://ssrn.com/abstract=3477334

Itzhak Ben-David

Ohio State University (OSU) - Department of Finance ( email )

2100 Neil Avenue
Fisher 700D
Columbus, OH 43210-1144
United States
773 988 1353 (Phone)

HOME PAGE: http://fisher.osu.edu/fin/faculty/Ben-David/index.htm

National Bureau of Economic Research (NBER) ( email )

1050 Massachusetts Avenue
Cambridge, MA 02138
United States

HOME PAGE: http://fisher.osu.edu/fin/faculty/Ben-David/

Francesco A. Franzoni (Contact Author)

USI Lugano ( email )

Via G. Buffi 13
Lugano, 6904
Switzerland

Swiss Finance Institute

Switzerland

Centre for Economic Policy Research (CEPR) ( email )

London
United Kingdom

Rabih Moussawi

Villanova University - Department of Finance ( email )

800 E Lancaster Ave
Bartley Hall, 2051
Villanova, PA 19085
United States

HOME PAGE: http://www.homepage.villanova.edu/rabih.moussawi

University of Pennsylvania - The Wharton School ( email )

United States

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