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Equal-weighting and value-weighting: which one is better?

Author

Listed:
  • Nan Qin

    (Northern Illinois University)

  • Vijay Singal

    (Pamplin College of Business, Virginia Tech)

Abstract

Prior research shows that noisy prices can introduce biases in returns causing equal-weighted portfolios to outperform value-weighted portfolios. In this paper, we reevaluate the superiority of EW portfolios in the presence of market frictions. We find that trading costs have limited impact on the performance of EW portfolios, while taxes cause the performance of both EW and VW portfolios to deteriorate by a similar magnitude leaving the superiority of EW portfolios intact. Besides mispricing, the results for small cap portfolios may also be affected by the size effect. Overall, EW portfolios earn annualized risk-adjusted returns between 1.23% and 1.79% even after accounting for trading costs and taxes.

Suggested Citation

  • Nan Qin & Vijay Singal, 2022. "Equal-weighting and value-weighting: which one is better?," Review of Quantitative Finance and Accounting, Springer, vol. 58(2), pages 743-768, February.
    • Handle: RePEc:kap:rqfnac:v:58:y:2022:i:2:d:10.1007_s11156-021-01008-w
    DOI: 10.1007/s11156-021-01008-w
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    References listed on IDEAS

    as
    1. Michael J. Brennan & Ashley W. Wang, 2010. "The Mispricing Return Premium," The Review of Financial Studies, Society for Financial Studies, vol. 23(9), pages 3437-3468.
    2. Marshall Blume & Robert Stambaugh, "undated". "Biases in Computed Returns: An Application to the Size Effect (Revision of 2-83)," Rodney L. White Center for Financial Research Working Papers 11-83, Wharton School Rodney L. White Center for Financial Research.
    3. Blume, Marshall E. & Stambaugh, Robert F., 1983. "Biases in computed returns : An application to the size effect," Journal of Financial Economics, Elsevier, vol. 12(3), pages 387-404, November.
    4. Ekkehart Boehmer & Gideon Saar & Lei Yu, 2005. "Lifting the Veil: An Analysis of Pre‐trade Transparency at the NYSE," Journal of Finance, American Finance Association, vol. 60(2), pages 783-815, April.
    5. Fama, Eugene F. & French, Kenneth R., 1993. "Common risk factors in the returns on stocks and bonds," Journal of Financial Economics, Elsevier, vol. 33(1), pages 3-56, February.
    6. Newey, Whitney & West, Kenneth, 2014. "A simple, positive semi-definite, heteroscedasticity and autocorrelation consistent covariance matrix," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 33(1), pages 125-132.
    7. Weimin Liu & Norman Strong, 2008. "Biases in Decomposing Holding-Period Portfolio Returns," The Review of Financial Studies, Society for Financial Studies, vol. 21(5), pages 2243-2274, September.
    8. Carhart, Mark M, 1997. "On Persistence in Mutual Fund Performance," Journal of Finance, American Finance Association, vol. 52(1), pages 57-82, March.
    9. Harris, Lawrence, 1989. "A Day-End Transaction Price Anomaly," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 24(1), pages 29-45, March.
    10. Robert D. Arnott & Jason C. Hsu & Jun Liu & Harry Markowitz, 2015. "Can Noise Create the Size and Value Effects?," Management Science, INFORMS, vol. 61(11), pages 2569-2579, November.
    11. William J. Breen & Laurie Simon Hodrick & Robert A. Korajczyk, 2002. "Predicting Equity Liquidity," Management Science, INFORMS, vol. 48(4), pages 470-483, April.
    12. 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.
    13. Ekkehart Boehmer & Eric K. Kelley, 2009. "Institutional Investors and the Informational Efficiency of Prices," The Review of Financial Studies, Society for Financial Studies, vol. 22(9), pages 3563-3594, September.
    14. Elena Asparouhova & Hendrik Bessembinder & Ivalina Kalcheva, 2013. "Noisy Prices and Inference Regarding Returns," Journal of Finance, American Finance Association, vol. 68(2), pages 665-714, April.
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    More about this item

    Keywords

    Indexing; Equally-weighted index; Stock return bias; Jensen’s inequality; Capital gains tax;
    All these keywords.

    JEL classification:

    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G23 - Financial Economics - - Financial Institutions and Services - - - Non-bank Financial Institutions; Financial Instruments; Institutional Investors

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