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Betting against betting against beta

Author

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  • Novy-Marx, Robert
  • Velikov, Mihail

Abstract

Frazzini and Pedersen’s (2014) Betting Against Beta (BAB) factor is based on the same basic idea as Blacks’(1972) beta-arbitrage, but its astonishing performance has generated academic interest and made it highly influential with practitioners. This performance is driven by non-standard procedures used in its construction that effectively, but non-transparently, equal weight stock returns. For each dollar invested in BAB, the strategy commits on average $1.05 to stocks in the bottom 1% of total market capitalization. BAB earns positive returns after accounting for transaction costs, but earns these by tilting toward profitability and investment. Predictable biases resulting from Frazzini and Pedersen’s non-standard beta estimation procedure drive results presented as evidence supporting BAB’s underlying theory.

Suggested Citation

  • Novy-Marx, Robert & Velikov, Mihail, 2022. "Betting against betting against beta," Journal of Financial Economics, Elsevier, vol. 143(1), pages 80-106.
  • Handle: RePEc:eee:jfinec:v:143:y:2022:i:1:p:80-106
    DOI: 10.1016/j.jfineco.2021.05.023
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    References listed on IDEAS

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    1. Eugene F. Fama & Kenneth R. French, 2008. "Dissecting Anomalies," Journal of Finance, American Finance Association, vol. 63(4), pages 1653-1678, August.
    2. Frazzini, Andrea & Pedersen, Lasse Heje, 2014. "Betting against beta," Journal of Financial Economics, Elsevier, vol. 111(1), pages 1-25.
    3. Ivo Welch, 2022. "Simply Better Market Betas," Critical Finance Review, now publishers, vol. 11(1), pages 37-64, February.
    4. Scott Cederburg & Michael S. O'Doherty, 2016. "Does It Pay to Bet Against Beta? On the Conditional Performance of the Beta Anomaly," Journal of Finance, American Finance Association, vol. 71(2), pages 737-774, April.
    5. Vasicek, Oldrich A, 1973. "A Note on Using Cross-Sectional Information in Bayesian Estimation of Security Betas," Journal of Finance, American Finance Association, vol. 28(5), pages 1233-1239, December.
    6. Alan Moreira & Tyler Muir, 2017. "Volatility-Managed Portfolios," Journal of Finance, American Finance Association, vol. 72(4), pages 1611-1644, August.
    7. Scholes, Myron & Williams, Joseph, 1977. "Estimating betas from nonsynchronous data," Journal of Financial Economics, Elsevier, vol. 5(3), pages 309-327, December.
    8. Fama, Eugene F. & French, Kenneth R., 2015. "A five-factor asset pricing model," Journal of Financial Economics, Elsevier, vol. 116(1), pages 1-22.
    9. Dimson, Elroy, 1979. "Risk measurement when shares are subject to infrequent trading," Journal of Financial Economics, Elsevier, vol. 7(2), pages 197-226, June.
    10. Li, Hongtao & Novy-Marx, Robert & Velikov, Mihail, 2019. "Liquidity Risk and Asset Pricing," Critical Finance Review, now publishers, vol. 8(1-2), pages 223-255, December.
    11. 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.
    12. Liu, Jianan & Stambaugh, Robert F. & Yuan, Yu, 2018. "Absolving beta of volatility’s effects," Journal of Financial Economics, Elsevier, vol. 128(1), pages 1-15.
    13. Robert Novy-Marx & Mihail Velikov, 2016. "A Taxonomy of Anomalies and Their Trading Costs," The Review of Financial Studies, Society for Financial Studies, vol. 29(1), pages 104-147.
    14. 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.
    15. Black, Fischer, 1972. "Capital Market Equilibrium with Restricted Borrowing," The Journal of Business, University of Chicago Press, vol. 45(3), pages 444-455, July.
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    Cited by:

    1. Andrew Detzel & Robert Novy‐Marx & Mihail Velikov, 2023. "Model Comparison with Transaction Costs," Journal of Finance, American Finance Association, vol. 78(3), pages 1743-1775, June.
    2. Insana, Alessandra, 2023. "Betting against beta with intraday and overnight signals," International Review of Financial Analysis, Elsevier, vol. 86(C).
    3. James Yae & Yang Luo, 2023. "Robust monitoring machine: a machine learning solution for out-of-sample R $$^2$$ 2 -hacking in return predictability monitoring," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-28, December.
    4. Joshua Traut, 2023. "What we know about the low-risk anomaly: a literature review," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 37(3), pages 297-324, September.

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    More about this item

    Keywords

    Factor models; Beta-arbitrage; Defensive equity; Non-standard methods; Asset pricing;
    All these keywords.

    JEL classification:

    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates

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