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Improving factor momentum: Statistical significance matters

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  • Liu, Yangyi
  • Luo, Ronghua
  • Zhao, Senyang

Abstract

Factor selection in the crowded “factor zoo” presents a significant challenge. This study introduces the statistical factor momentum (SFMOM), a novel approach employing pairwise t-test procedures to adeptly balance Type I and Type II errors, thereby enhancing factor momentum. Through empirical analysis of 207 factors, we demonstrate SFMOM’s superior performance, particularly in long-short portfolios. SFMOM prefers low-volatility factors and its effectiveness is most pronounced during periods of substantial dispersion in factors’ risk-adjusted performance. Our study offers a new perspective on factor selection and a practical tool for portfolio managers, and the methodology can be applied to other markets.

Suggested Citation

  • Liu, Yangyi & Luo, Ronghua & Zhao, Senyang, 2023. "Improving factor momentum: Statistical significance matters," Economics Letters, Elsevier, vol. 233(C).
    • Handle: RePEc:eee:ecolet:v:233:y:2023:i:c:s0165176523004706
    DOI: 10.1016/j.econlet.2023.111444
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    References listed on IDEAS

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    1. Campbell R. Harvey & Yan Liu, 2020. "False (and Missed) Discoveries in Financial Economics," Journal of Finance, American Finance Association, vol. 75(5), pages 2503-2553, October.
    2. John H. Cochrane, 2011. "Presidential Address: Discount Rates," Journal of Finance, American Finance Association, vol. 66(4), pages 1047-1108, August.
    3. Sina Ehsani & Juhani T. Linnainmaa, 2022. "Factor Momentum and the Momentum Factor," Journal of Finance, American Finance Association, vol. 77(3), pages 1877-1919, June.
    4. Minyou Fan & Youwei Li & Ming Liao & Jiadong Liu, 2022. "A reexamination of factor momentum: How strong is it?," The Financial Review, Eastern Finance Association, vol. 57(3), pages 585-615, August.
    5. Whitney Newey & Kenneth West, 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.
    6. Fan, Minyou & Kearney, Fearghal & Li, Youwei & Liu, Jiadong, 2022. "Momentum and the Cross-section of Stock Volatility," Journal of Economic Dynamics and Control, Elsevier, vol. 144(C).
    7. Andrew Y. Chen & Tom Zimmermann, 2022. "Open Source Cross-Sectional Asset Pricing," Critical Finance Review, now publishers, vol. 11(2), pages 207-264, May.
    8. Amit Goyal & Narasimhan Jegadeesh, 2018. "Cross-Sectional and Time-Series Tests of Return Predictability: What Is the Difference?," The Review of Financial Studies, Society for Financial Studies, vol. 31(5), pages 1784-1824.
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    Keywords

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    JEL classification:

    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates

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