IDEAS home Printed from https://ideas.repec.org/a/bla/irvfin/v21y2021i1p336-344.html
   My bibliography  Save this article

Buy Low and Sell High: The 52‐Week Price Range and Predictability of Returns

Author

Listed:
  • Tzu‐Pu Chang

Abstract

This paper uses the ratio of 52‐week high to low prices to construct a self‐financing portfolio strategy, which buys stocks with a low range ratio and sells stocks with a high range ratio according to the behavioral perspective. The results indicate that the profits from this range strategy are substantial and outperform those of 52‐week high and conventional momentum strategies. Moreover, the incremental effect of the range strategy on 52‐week high momentum is significantly positive, while the 52‐week high strategy diminishes this strategy's profitability. Overall, the range measure is better than conventional measures at predicting future returns.

Suggested Citation

  • Tzu‐Pu Chang, 2021. "Buy Low and Sell High: The 52‐Week Price Range and Predictability of Returns," International Review of Finance, International Review of Finance Ltd., vol. 21(1), pages 336-344, March.
    • Handle: RePEc:bla:irvfin:v:21:y:2021:i:1:p:336-344
    DOI: 10.1111/irfi.12263
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/irfi.12263
    Download Restriction: no
    File URL: https://libkey.io/10.1111/irfi.12263?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Gradojevic, Nikola & Lento, Camillo, 2015. "Multiscale analysis of foreign exchange order flows and technical trading profitability," Economic Modelling, Elsevier, vol. 47(C), pages 156-165.
    2. Ang, Andrew & Hodrick, Robert J. & Xing, Yuhang & Zhang, Xiaoyan, 2009. "High idiosyncratic volatility and low returns: International and further U.S. evidence," Journal of Financial Economics, Elsevier, vol. 91(1), pages 1-23, January.
    3. repec:bla:jfinan:v:59:y:2004:i:5:p:2145-2176 is not listed on IDEAS
    4. Fama, Eugene F. & French, Kenneth R., 2015. "A five-factor asset pricing model," Journal of Financial Economics, Elsevier, vol. 116(1), pages 1-22.
    5. 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.
    6. Gradojevic, Nikola & Gençay, Ramazan, 2013. "Fuzzy logic, trading uncertainty and technical trading," Journal of Banking & Finance, Elsevier, vol. 37(2), pages 578-586.
    7. 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.
    8. 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.
    9. James Kozyra & Camillo Lento, 2011. "Using VIX data to enhance technical trading signals," Applied Economics Letters, Taylor & Francis Journals, vol. 18(14), pages 1367-1370.
    10. Reitz, Stefan, 2006. "On the predictive content of technical analysis," The North American Journal of Economics and Finance, Elsevier, vol. 17(2), pages 121-137, August.
    11. Tobias J. Moskowitz & Mark Grinblatt, 1999. "Do Industries Explain Momentum?," Journal of Finance, American Finance Association, vol. 54(4), pages 1249-1290, August.
    12. Chiao Yi Chang & Hsiang-Lan Chen & Wen-Hsiu Kuo, 2017. "The Analysis of 52-Week High Investing Strategy Based on Herding Behavior," International Review of Finance, International Review of Finance Ltd., vol. 17(1), pages 77-106, March.
    13. Jegadeesh, Narasimhan & Titman, Sheridan, 1993. "Returns to Buying Winners and Selling Losers: Implications for Stock Market Efficiency," Journal of Finance, American Finance Association, vol. 48(1), pages 65-91, March.
    14. Susana Yu, 2012. "New empirical evidence on the investment success of momentum strategies based on relative stock prices," Review of Quantitative Finance and Accounting, Springer, vol. 39(1), pages 105-121, July.
    Full references (including those not matched with items on IDEAS)

    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. Adam Zaremba & Jacob Koby Shemer, 2018. "Price-Based Investment Strategies," Springer Books, Springer, number 978-3-319-91530-2, April.
    2. Flögel, Volker & Schlag, Christian & Zunft, Claudia, 2022. "Momentum-Managed Equity Factors," Journal of Banking & Finance, Elsevier, vol. 137(C).
    3. Flögel, Volker & Schlag, Christian & Zunft, Claudia, 2021. "Momentum-managed equity factors," SAFE Working Paper Series 317, Leibniz Institute for Financial Research SAFE.
    4. Li-Chuan Liao & Tzu-Pu Chang & Ping-Huang Wang, 2023. "Earnings Management Ethicality and Application in the Kenyan Public Sector: A Critical Review," International Journal of Business and Economic Sciences Applied Research (IJBESAR), Democritus University of Thrace (DUTH), Kavala Campus, Greece, vol. 16(1), pages 71-86, October.
    5. Christian Walkshäusl & Florian Weißofner & Ulrich Wessels, 2019. "Separating momentum from reversal in international stock markets," Journal of Asset Management, Palgrave Macmillan, vol. 20(2), pages 111-123, March.
    6. Zhaobo Zhu & Licheng Sun & Min Chen, 2023. "Fundamental strength and the 52-week high anchoring effect," Review of Quantitative Finance and Accounting, Springer, vol. 60(4), pages 1515-1542, May.
    7. 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.
    8. Mamdouh Medhat & Maik Schmeling, 2022. "Short-term Momentum," The Review of Financial Studies, Society for Financial Studies, vol. 35(3), pages 1480-1526.
    9. Lee, Kuan-Hui & Yang, Cheol-Won, 2022. "The world price of tail risk," Pacific-Basin Finance Journal, Elsevier, vol. 71(C).
    10. Zhu, Zhaobo & Ding, Wenjie & Jin, Yi & Shen, Dehua, 2023. "Dissecting the idiosyncratic volatility puzzle: A fundamental analysis approach," Research in International Business and Finance, Elsevier, vol. 66(C).
    11. Chou, Pin-Huang & Ko, Kuan-Cheng & Yang, Nien-Tzu, 2019. "Asset growth, style investing, and momentum," Journal of Banking & Finance, Elsevier, vol. 98(C), pages 108-124.
    12. Jiaju Miao & Pawel Polak, 2023. "Online Ensemble of Models for Optimal Predictive Performance with Applications to Sector Rotation Strategy," Papers 2304.09947, arXiv.org.
    13. Ran, Rong & Li, Cheng & Ko, Kuan-Cheng & Yang, Nien-Tzu, 2022. "State-dependent psychological anchors and momentum," Finance Research Letters, Elsevier, vol. 46(PB).
    14. Schlag, Christian & Zeng, Kailin, 2019. "Horizontal industry relationships and return predictability," SAFE Working Paper Series 256, Leibniz Institute for Financial Research SAFE.
    15. Poon, Percy & Yao, Tong & Zhang, Andrew (Jianzhong), 2022. "The alphas of beta and idiosyncratic volatility," Journal of Financial Markets, Elsevier, vol. 61(C).
    16. Jansen, Maarten & Swinkels, Laurens & Zhou, Weili, 2021. "Anomalies in the China A-share market," Pacific-Basin Finance Journal, Elsevier, vol. 68(C).
    17. Berggrun, Luis & Cardona, Emilio & Lizarzaburu, Edmundo, 2023. "Industry momentum in Latin America," Journal of Business Research, Elsevier, vol. 158(C).
    18. Klaus Grobys & Sami Vähämaa, 0. "Another look at value and momentum: volatility spillovers," Review of Quantitative Finance and Accounting, Springer, vol. 0, pages 1-21.
    19. Jared Egginton & Jungshik Hur & Vivek Singh, 2019. "The impact of elasticity on disposition effect driven momentum, substitutability, size, and January seasonality," Review of Quantitative Finance and Accounting, Springer, vol. 52(3), pages 759-780, April.
    20. Amit Goyal, 2012. "Empirical cross-sectional asset pricing: a survey," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 26(1), pages 3-38, March.

    More about this item

    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:bla:irvfin:v:21:y:2021:i:1:p:336-344. 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: Wiley Content Delivery (email available below). General contact details of provider: http://www.blackwellpublishing.com/journal.asp?ref=1369-412X .

    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.