IDEAS home Printed from https://ideas.repec.org/p/nbr/nberwo/20985.html
   My bibliography  Save this paper

How Can a Q-Theoretic Model Price Momentum?

Author

Listed:
  • Robert Novy-Marx

Abstract

The answer, of course, is that it can't. Hou, Xue, and Zhang's (2014) empirical model does price portfolios sorted on prior year's performance, but for reasons outside of q-theory---it does so by including a fundamental momentum factor, i.e., a factor based on momentum in firm fundamentals. The ROE factor, which does all the work pricing momentum, is constructed by sorting stocks on the most recently announced quarterly earnings, which tend to be high after positive earnings surprises. A post earnings announcement drift factor prices the model's ROE factor, and subsumes the role the ROE factor plays pricing momentum portfolios when both are included as explanatory variables. The HXZ model also only prices portfolios sorted on gross profitability by conflating earnings profitability, which drives the ROE factor's covariance with gross profitability, with post earnings announcement drift, which drives the ROE factor's high average returns. Controlling for fundamental momentum, the HXZ model also loses its power to explain the performance of gross profitability. These facts are inconsistent with a neoclassical interpretation of the empirical model.

Suggested Citation

  • Robert Novy-Marx, 2015. "How Can a Q-Theoretic Model Price Momentum?," NBER Working Papers 20985, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:20985
    Note: AP
    as

    Download full text from publisher

    File URL: http://www.nber.org/papers/w20985.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Kewei Hou & Haitao Mo & Chen Xue & Lu Zhang, 2019. "Which Factors?," Review of Finance, European Finance Association, vol. 23(1), pages 1-35.
    2. Novy-Marx, Robert, 2013. "The other side of value: The gross profitability premium," Journal of Financial Economics, Elsevier, vol. 108(1), pages 1-28.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Wang, Baolian, 2019. "The cash conversion cycle spread," Journal of Financial Economics, Elsevier, vol. 133(2), pages 472-497.
    2. Subrahmanyam, Avanidhar, 2018. "Equity market momentum: A synthesis of the literature and suggestions for future work," Pacific-Basin Finance Journal, Elsevier, vol. 51(C), pages 291-296.
    3. Chue, Timothy K. & Xu, Jin Karen, 2022. "Profitability, asset investment, and aggregate stock returns," Journal of Banking & Finance, Elsevier, vol. 143(C).
    4. Lin, Qi, 2021. "The q5 model and its consistency with the intertemporal CAPM," Journal of Banking & Finance, Elsevier, vol. 127(C).
    5. Clarke, Charles, 2022. "The level, slope, and curve factor model for stocks," Journal of Financial Economics, Elsevier, vol. 143(1), pages 159-187.
    6. Zaremba, Adam & Karathanasopoulos, Andreas & Maydybura, Alina & Czapkiewicz, Anna & Bagheri, Noushin, 2020. "Dissecting anomalies in Islamic stocks: Integrated or segmented pricing?," Pacific-Basin Finance Journal, Elsevier, vol. 62(C).
    7. Blitz, David & Hanauer, Matthias X. & Vidojevic, Milan, 2020. "The idiosyncratic momentum anomaly," International Review of Economics & Finance, Elsevier, vol. 69(C), pages 932-957.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Gagliardini, Patrick & Ossola, Elisa & Scaillet, Olivier, 2019. "A diagnostic criterion for approximate factor structure," Journal of Econometrics, Elsevier, vol. 212(2), pages 503-521.
    2. Klaus Grobys & James W. Kolari & Jere Rutanen, 2022. "Factor momentum, option-implied volatility scaling, and investor sentiment," Journal of Asset Management, Palgrave Macmillan, vol. 23(2), pages 138-155, March.
    3. Kim, Sang-Joon & Bae, John & Oh, Hannah, 2019. "Financing strategically: The moderation effect of marketing activities on the bifurcated relationship between debt level and firm valuation of small and medium enterprises," The North American Journal of Economics and Finance, Elsevier, vol. 48(C), pages 663-681.
    4. Mahata, Ajit & Rai, Anish & Nurujjaman, Md. & Prakash, Om, 2021. "Modeling and analysis of the effect of COVID-19 on the stock price: V and L-shape recovery," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 574(C).
    5. Berggrun, Luis & Cardona, Emilio & Lizarzaburu, Edmundo, 2020. "Firm profitability and expected stock returns: Evidence from Latin America," Research in International Business and Finance, Elsevier, vol. 51(C).
    6. JULES H. van BINSBERGEN & CHRISTIAN C. OPP, 2019. "Real Anomalies," Journal of Finance, American Finance Association, vol. 74(4), pages 1659-1706, August.
    7. Arati Kale & Devendra Kale & Sriram Villupuram, 2024. "Decomposition of risk for small size and low book-to-market stocks," Journal of Asset Management, Palgrave Macmillan, vol. 25(1), pages 96-112, February.
    8. Lindaas, Knut F. & Simlai, Prodosh, 2014. "The value premium, aggregate risk innovations, and average stock returns," Finance Research Letters, Elsevier, vol. 11(3), pages 303-317.
    9. Christian Fieberg & Daniel Metko & Thorsten Poddig & Thomas Loy, 2023. "Machine learning techniques for cross-sectional equity returns’ prediction," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 45(1), pages 289-323, March.
    10. Guidolin, Massimo & Ricci, Andrea, 2020. "Arbitrage risk and a sentiment as causes of persistent mispricing: The European evidence," The Quarterly Review of Economics and Finance, Elsevier, vol. 76(C), pages 1-11.
    11. José Luis Miralles-Quirós & María Mar Miralles-Quirós & José Manuel Nogueira, 2020. "Sustainable Development Goals and Investment Strategies: The Profitability of Using Five-Factor Fama-French Alphas," Sustainability, MDPI, vol. 12(5), pages 1-16, February.
    12. Geertsema, Paul & Lu, Helen, 2020. "The correlation structure of anomaly strategies," Journal of Banking & Finance, Elsevier, vol. 119(C).
    13. Lin, Chaonan & Ko, Kuan-Cheng & Lin, Lin & Yang, Nien-Tzu, 2017. "Price limits and the value premium in the Taiwan stock market," Pacific-Basin Finance Journal, Elsevier, vol. 41(C), pages 26-45.
    14. Qadan, Mahmoud & Jacob, Maram, 2022. "The value premium and investors' appetite for risk," International Review of Economics & Finance, Elsevier, vol. 82(C), pages 194-219.
    15. Mohammad Sharik Essa & Evangelos Giouvris, 2023. "Fama–French–Carhart Factor-Based Premiums in the US REIT Market: A Risk Based Explanation, and the Impact of Financial Distress and Liquidity Crisis from 2001 to 2020," IJFS, MDPI, vol. 11(1), pages 1-39, January.
    16. Brown, William O. & Huang, Dayong & Wang, Fang, 2016. "Inflation illusion and stock returns," Journal of Empirical Finance, Elsevier, vol. 35(C), pages 14-24.
    17. Jarno Tikkanen & Janne Äijö, 2018. "Does the F-score improve the performance of different value investment strategies in Europe?," Journal of Asset Management, Palgrave Macmillan, vol. 19(7), pages 495-506, December.
    18. Brooke Alexandra Maeda, 2016. "An Empirical Review of Asset Pricing Models for the Japanese Share Market," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 8(11), pages 155-158, November.
    19. Oh, Jong-Min, 2017. "Absorptive capacity, technology spillovers, and the cross-section of stock returns," Journal of Banking & Finance, Elsevier, vol. 85(C), pages 146-164.
    20. Bustamante, Maria Cecilia & Donangelo, Andrés, 2014. "Product market competition and industry returns," LSE Research Online Documents on Economics 119031, London School of Economics and Political Science, LSE Library.

    More about this item

    JEL classification:

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

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nbr:nberwo:20985. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/nberrus.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.