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On Russell index reconstitution

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  • Hsiu-Lang Chen

Abstract

This paper investigates whether abnormal returns permanently exist in transparent U.S. Russell index reconstitution and provides evidence to disentangle the competing hypotheses associated with the index effect in the literature. Additions to Russell 1000 generate cumulative excess returns of 10.9% from 2 days before May 31 to June 30 while stocks deleted from Russell 2000 Growth Index suffer cumulative loss of 6.6%. The effect of index reconstitution on stocks in the style switching groups is moderate while it is much smaller for stocks in the retention groups. Based on daily trading volume, there is evidence that money managers tied to Russell style indexes tend not to rebalance their portfolios actively until the time of index reconstitution to avoid tracking error. However, for stocks generating large excess returns, money managers trade them actively prior to the reconstitution. This study is supportive of the imperfect substitutes hypothesis in explaining the index effect, given the absence of complete reversal of the event period abnormal returns and of consistent improvement in liquidity for the index additions. In the joint test, the price pressure hypothesis and the liquidity hypothesis explain the marginal index effect at most by 0.12% and 3.05%, respectively, while the imperfect substitutes hypothesis explains it at least by 9.21%. Furthermore, the index effect is not purely driven by individual stock price momentum. Copyright Springer Science + Business Media, LLC 2006

Suggested Citation

  • Hsiu-Lang Chen, 2006. "On Russell index reconstitution," Review of Quantitative Finance and Accounting, Springer, vol. 26(4), pages 409-430, June.
  • Handle: RePEc:kap:rqfnac:v:26:y:2006:i:4:p:409-430
    DOI: 10.1007/s11156-006-7441-3
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    1. Barberis, Nicholas & Shleifer, Andrei, 2003. "Style investing," Journal of Financial Economics, Elsevier, vol. 68(2), pages 161-199, May.
    2. Aditya Kaul & Vikas Mehrotra & Randall Morck, 2000. "Demand Curves for Stocks Do Slope Down: New Evidence from an Index Weights Adjustment," Journal of Finance, American Finance Association, vol. 55(2), pages 893-912, April.
    3. Ernest N. Biktimirov & Arnold R. Cowan & Bradford D. Jordan, 2004. "Do Demand Curves for Small Stocks Slope Down?," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 27(2), pages 161-178, June.
    4. Daniel, Kent & Titman, Sheridan, 1997. "Evidence on the Characteristics of Cross Sectional Variation in Stock Returns," Journal of Finance, American Finance Association, vol. 52(1), pages 1-33, March.
    5. George, Thomas J & Kaul, Gautam & Nimalendran, M, 1991. "Estimation of the Bid-Ask Spread and Its Components: A New Approach," Review of Financial Studies, Society for Financial Studies, vol. 4(4), pages 623-656.
    6. Fama, Eugene F & MacBeth, James D, 1973. "Risk, Return, and Equilibrium: Empirical Tests," Journal of Political Economy, University of Chicago Press, vol. 81(3), pages 607-636, May-June.
    7. Amihud, Yakov & Mendelson, Haim, 1986. "Asset pricing and the bid-ask spread," Journal of Financial Economics, Elsevier, vol. 17(2), pages 223-249, December.
    8. Fama, Eugene F & French, Kenneth R, 1996. "Multifactor Explanations of Asset Pricing Anomalies," Journal of Finance, American Finance Association, vol. 51(1), pages 55-84, March.
    9. Lee, Charles M C & Ready, Mark J, 1991. "Inferring Trade Direction from Intraday Data," Journal of Finance, American Finance Association, vol. 46(2), pages 733-746, June.
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    Cited by:

    1. Jerry Coakley & George Dotsis & Apostolos Kourtis & Dimitris Psychoyios, 2024. "The S&P 500 index inclusion effect: Evidence from the options market," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 29(1), pages 1157-1171, January.
    2. Akhigbe, Aigbe & Martin, Anna D. & Newman, Melinda & de Souza, Andre, 2022. "Russell index reconstitutions and short interest," The Quarterly Review of Economics and Finance, Elsevier, vol. 84(C), pages 577-588.
    3. Ernest Biktimirov & Boya Li, 2014. "Asymmetric stock price and liquidity responses to changes in the FTSE SmallCap index," Review of Quantitative Finance and Accounting, Springer, vol. 42(1), pages 95-122, January.
    4. Tchai Tavor, 2014. "Abnormal investor response to the index effect for daily and intraday data," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 28(3), pages 281-303, August.
    5. Petajisto, Antti, 2011. "The index premium and its hidden cost for index funds," Journal of Empirical Finance, Elsevier, vol. 18(2), pages 271-288, March.
    6. Chen, Haiwei & Ngo, Thanh, 2017. "Leverage-based index revisions: The case of Dow Jones Islamic Market World Index," Global Finance Journal, Elsevier, vol. 32(C), pages 16-34.
    7. Nico Katzke & Charlotte van Tiddens, 2019. "FTSE/JSE Index Migration: Testing for the Index Effect in Stocks Entering and Exiting the Top 40," Working Papers 10/2019, Stellenbosch University, Department of Economics.
    8. Yun, Jooyoung & Kim, Tong S., 2010. "The effect of changes in index constitution: Evidence from the Korean stock market," International Review of Financial Analysis, Elsevier, vol. 19(4), pages 258-269, September.
    9. Houdou Basse Mama & Stefan Mueller & Ulrich Pape, 2017. "What’s in the news? The ambiguity of the information content of index reconstitutions in Germany," Review of Quantitative Finance and Accounting, Springer, vol. 49(4), pages 1087-1119, November.
    10. John Geppert & Stoyu Ivanov & Gordon Karels, 2011. "An analysis of the importance of S&P 500 discretionary constituent changes," Review of Quantitative Finance and Accounting, Springer, vol. 37(1), pages 21-34, July.
    11. Alessandro Micheli & Eyal Neuman, 2020. "Evidence of Crowding on Russell 3000 Reconstitution Events," Papers 2006.07456, arXiv.org, revised Sep 2022.

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