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The 52-week high, q-theory, and the cross section of stock returns

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  • George, Thomas J.
  • Hwang, Chuan-Yang
  • Li, Yuan

Abstract

The Hou et al. (2015) q-factor model outperforms other factor models in capturing the price-to-high (PTH, the ratio of current price to 52-week high price) anomaly; that is, high-PTH stocks earn high future returns. PTH's relations with future profitability and future investment growth are both significantly positive, and they mirror PTH's relation with future returns in the cross section and by time horizons. Incorporating the information about future investment growth contained in price level variables (e.g., PTH) helps the q factors to capture better those anomalies rooted in future investment growth. Together, these results suggest that the PTH anomaly is consistent with the investment capital asset pricing model.

Suggested Citation

  • George, Thomas J. & Hwang, Chuan-Yang & Li, Yuan, 2018. "The 52-week high, q-theory, and the cross section of stock returns," Journal of Financial Economics, Elsevier, vol. 128(1), pages 148-163.
    • Handle: RePEc:eee:jfinec:v:128:y:2018:i:1:p:148-163
    DOI: 10.1016/j.jfineco.2018.01.005
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    as
    1. Bhootra, Ajay & Hur, Jungshik, 2013. "The timing of 52-week high price and momentum," Journal of Banking & Finance, Elsevier, vol. 37(10), pages 3773-3782.
    2. Laura Xiaolei Liu & Toni M. Whited & Lu Zhang, 2009. "Investment-Based Expected Stock Returns," Journal of Political Economy, University of Chicago Press, vol. 117(6), pages 1105-1139, December.
    3. James L. Davis & Eugene F. Fama & Kenneth R. French, 2000. "Characteristics, Covariances, and Average Returns: 1929 to 1997," Journal of Finance, American Finance Association, vol. 55(1), pages 389-406, February.
    4. Lu Zhang, 2017. "The Investment CAPM," European Financial Management, European Financial Management Association, vol. 23(4), pages 545-603, September.
    5. Michael J. Cooper & Huseyin Gulen & Michael J. Schill, 2008. "Asset Growth and the Cross‐Section of Stock Returns," Journal of Finance, American Finance Association, vol. 63(4), pages 1609-1651, August.
    6. D'Mello, Ranjan & Ferris, Stephen P. & Hwang, Chuan Yang, 2003. "The tax-loss selling hypothesis, market liquidity, and price pressure around the turn-of-the-year," Journal of Financial Markets, Elsevier, vol. 6(1), pages 73-98, January.
    7. Whitney K. Newey & Kenneth D. West, 1994. "Automatic Lag Selection in Covariance Matrix Estimation," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 61(4), pages 631-653.
    8. repec:bla:jfinan:v:59:y:2004:i:5:p:2145-2176 is not listed on IDEAS
    9. Kewei Hou & Chen Xue & Lu Zhang, 2015. "Editor's Choice Digesting Anomalies: An Investment Approach," The Review of Financial Studies, Society for Financial Studies, vol. 28(3), pages 650-705.
    10. Fama, Eugene F. & French, Kenneth R., 2015. "A five-factor asset pricing model," Journal of Financial Economics, Elsevier, vol. 116(1), pages 1-22.
    11. Roll, Richard, 1983. "On computing mean returns and the small firm premium," Journal of Financial Economics, Elsevier, vol. 12(3), pages 371-386, November.
    12. Griffiths, Mark D & White, Robert W, 1993. "Tax-Induced Trading and the Turn-of-the-Year Anomaly: An Intraday Study," Journal of Finance, American Finance Association, vol. 48(2), pages 575-598, June.
    13. Gibbons, Michael R & Ross, Stephen A & Shanken, Jay, 1989. "A Test of the Efficiency of a Given Portfolio," Econometrica, Econometric Society, vol. 57(5), pages 1121-1152, September.
    14. 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.
    15. Steven Huddart & Mark Lang & Michelle H. Yetman, 2009. "Volume and Price Patterns Around a Stock's 52-Week Highs and Lows: Theory and Evidence," Management Science, INFORMS, vol. 55(1), pages 16-31, January.
    16. Lin, Xiaoji & Zhang, Lu, 2013. "The investment manifesto," Journal of Monetary Economics, Elsevier, vol. 60(3), pages 351-366.
    17. Liu, Ming & Liu, Qianqiu & Ma, Tongshu, 2011. "The 52-week high momentum strategy in international stock markets," Journal of International Money and Finance, Elsevier, vol. 30(1), pages 180-204, February.
    18. Novy-Marx, Robert, 2013. "The other side of value: The gross profitability premium," Journal of Financial Economics, Elsevier, vol. 108(1), pages 1-28.
    19. Timothy C. Johnson, 2002. "Rational Momentum Effects," Journal of Finance, American Finance Association, vol. 57(2), pages 585-608, April.
    20. Carhart, Mark M, 1997. "On Persistence in Mutual Fund Performance," Journal of Finance, American Finance Association, vol. 52(1), pages 57-82, March.
    21. Jin (Ginger) Wu & Lu Zhang & X. Frank Zhang, 2010. "The q‐Theory Approach to Understanding the Accrual Anomaly," Journal of Accounting Research, Wiley Blackwell, vol. 48(1), pages 177-223, March.
    22. Li, Jun & Yu, Jianfeng, 2012. "Investor attention, psychological anchors, and stock return predictability," Journal of Financial Economics, Elsevier, vol. 104(2), pages 401-419.
    23. Eugene F. Fama & Kenneth R. French, 2006. "The Value Premium and the CAPM," Journal of Finance, American Finance Association, vol. 61(5), pages 2163-2185, October.
    24. Sagi, Jacob S. & Seasholes, Mark S., 2007. "Firm-specific attributes and the cross-section of momentum," Journal of Financial Economics, Elsevier, vol. 84(2), pages 389-434, May.
    25. Paul Hribar & Daniel W. Collins, 2002. "Errors in Estimating Accruals: Implications for Empirical Research," Journal of Accounting Research, Wiley Blackwell, vol. 40(1), pages 105-134, March.
    26. 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.
    27. Liu, Laura Xiaolei & Zhang, Lu, 2014. "A neoclassical interpretation of momentum," Journal of Monetary Economics, Elsevier, vol. 67(C), pages 109-128.
    28. Evgeny Lyandres & Le Sun & Lu Zhang, 2008. "The New Issues Puzzle: Testing the Investment-Based Explanation," The Review of Financial Studies, Society for Financial Studies, vol. 21(6), pages 2825-2855, November.
    29. Joost Driessen & Tse-Chun Lin & Otto Van Hemert, 2013. "How the 52-Week High and Low Affect Option-Implied Volatilities and Stock Return Moments," Review of Finance, European Finance Association, vol. 17(1), pages 369-401.
    30. Cochrane, John H, 1991. "Production-Based Asset Pricing and the Link between Stock Returns and Economic Fluctuations," Journal of Finance, American Finance Association, vol. 46(1), pages 209-237, March.
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    More about this item

    Keywords

    52-week high; q-factor model; Anomalies; Profitability; Investment growth;
    All these keywords.

    JEL classification:

    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

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