IDEAS home Printed from https://ideas.repec.org/a/eee/reveco/v82y2022icp104-119.html
   My bibliography  Save this article

Price reversal and heterogeneous belief

Author

Listed:
  • Li, Yan
  • Liang, Chao
  • Huynh, Toan L.D.
  • He, Qiubei

Abstract

We consider that due to the average belief of investors on a stock changing from bullish (bearish) to bearish (bullish) during an entire reversal process, it is a special characteristic that investors’ beliefs are more heterogeneous during the belief-adjusted period. Therefore, high heterogeneous belief is helpful to capture accurately stock price reversals and lead to stronger short-term reversal effects. We examine the role of the investor heterogeneous belief (HB) on the standard reversal (RVS). Our empirical evidence in the Chinese stock market shows that higher HB results in lower (higher) future returns for past winners (losers); in particular, extremely low HB indicates the absence of subsequent reversal for past winners. Furthermore, we define a new reversal measure of NewRVS and show that NewRVS outperforms RVS. Our regression results confirm that: (1) NewRVS has a stronger impact on future returns than RVS; (2) low HB is related to the absence of reversal or a weak reversal; (2) high HB amplifies the reversal effect.

Suggested Citation

  • Li, Yan & Liang, Chao & Huynh, Toan L.D. & He, Qiubei, 2022. "Price reversal and heterogeneous belief," International Review of Economics & Finance, Elsevier, vol. 82(C), pages 104-119.
  • Handle: RePEc:eee:reveco:v:82:y:2022:i:c:p:104-119
    DOI: 10.1016/j.iref.2022.06.007
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1059056022001678
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.iref.2022.06.007?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Shalen, Catherine T, 1993. "Volume, Volatility, and the Dispersion of Beliefs," The Review of Financial Studies, Society for Financial Studies, vol. 6(2), pages 405-434.
    2. Karl B. Diether & Christopher J. Malloy & Anna Scherbina, 2002. "Differences of Opinion and the Cross Section of Stock Returns," Journal of Finance, American Finance Association, vol. 57(5), pages 2113-2141, October.
    3. Fama, Eugene F. & French, Kenneth R., 2017. "International tests of a five-factor asset pricing model," Journal of Financial Economics, Elsevier, vol. 123(3), pages 441-463.
    4. Li, Yan & Liang, Chao & L.D. Huynh, Toan, 2022. "A new momentum measurement in the Chinese stock market," Pacific-Basin Finance Journal, Elsevier, vol. 73(C).
    5. Oliver X. Li & Weiping Li, 2015. "Hedging jump risk, expected returns and risk premia in jump-diffusion economies," Quantitative Finance, Taylor & Francis Journals, vol. 15(5), pages 873-888, May.
    6. Paul C. Tetlock, 2011. "All the News That's Fit to Reprint: Do Investors React to Stale Information?," The Review of Financial Studies, Society for Financial Studies, vol. 24(5), pages 1481-1512.
    7. Kent Daniel & David Hirshleifer & Avanidhar Subrahmanyam, 1998. "Investor Psychology and Security Market Under- and Overreactions," Journal of Finance, American Finance Association, vol. 53(6), pages 1839-1885, December.
    8. Hirshleifer, David & Teoh, Siew Hong, 2003. "Limited attention, information disclosure, and financial reporting," Journal of Accounting and Economics, Elsevier, vol. 36(1-3), pages 337-386, December.
    9. Aboody, David & Even-Tov, Omri & Lehavy, Reuven & Trueman, Brett, 2018. "Overnight Returns and Firm-Specific Investor Sentiment," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 53(2), pages 485-505, April.
    10. Hameed, Allaudeen & Mian, G. Mujtaba, 2015. "Industries and Stock Return Reversals," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 50(1-2), pages 89-117, April.
    11. Amihud, Yakov, 2002. "Illiquidity and stock returns: cross-section and time-series effects," Journal of Financial Markets, Elsevier, vol. 5(1), pages 31-56, January.
    12. Fama, Eugene F. & French, Kenneth R., 2015. "A five-factor asset pricing model," Journal of Financial Economics, Elsevier, vol. 116(1), pages 1-22.
    13. Liu, Jianan & Stambaugh, Robert F. & Yuan, Yu, 2019. "Size and value in China," Journal of Financial Economics, Elsevier, vol. 134(1), pages 48-69.
    14. Doron Avramov & Tarun Chordia & Amit Goyal, 2006. "Liquidity and Autocorrelations in Individual Stock Returns," Journal of Finance, American Finance Association, vol. 61(5), pages 2365-2394, October.
    15. Evan W. Anderson & Eric Ghysels & Jennifer L. Juergens, 2005. "Do Heterogeneous Beliefs Matter for Asset Pricing?," The Review of Financial Studies, Society for Financial Studies, vol. 18(3), pages 875-924.
    16. Zhang, Wei & Wang, Guanying & Wang, Xingchun & Xiong, Xiong & Lei, Xuan, 2018. "Profitability of reversal strategies: A modified version of the Carhart model in China," Economic Modelling, Elsevier, vol. 69(C), pages 26-37.
    17. Pereira, João Pedro & Zhang, Harold H., 2010. "Stock Returns and the Volatility of Liquidity," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 45(4), pages 1077-1110, August.
    18. Lu Qin & Hongquan Zhu, 2015. "Efficiency of heterogeneity measures: an asset pricing perspective," China Finance Review International, Emerald Group Publishing Limited, vol. 5(4), pages 371-385, November.
    19. Snehal Banerjee & Ilan Kremer, 2010. "Disagreement and Learning: Dynamic Patterns of Trade," Journal of Finance, American Finance Association, vol. 65(4), pages 1269-1302, August.
    20. Jegadeesh, Narasimhan, 1990. "Evidence of Predictable Behavior of Security Returns," Journal of Finance, American Finance Association, vol. 45(3), pages 881-898, July.
    21. Zhi Da & Qianqiu Liu & Ernst Schaumburg, 2014. "A Closer Look at the Short-Term Return Reversal," Management Science, INFORMS, vol. 60(3), pages 658-674, March.
    22. Jon A. Garfinkel & Jonathan Sokobin, 2006. "Volume, Opinion Divergence, and Returns: A Study of Post–Earnings Announcement Drift," Journal of Accounting Research, Wiley Blackwell, vol. 44(1), pages 85-112, March.
    23. Miller, Edward M, 1977. "Risk, Uncertainty, and Divergence of Opinion," Journal of Finance, American Finance Association, vol. 32(4), pages 1151-1168, September.
    24. Harrison Hong & Jeremy C. Stein, 1999. "A Unified Theory of Underreaction, Momentum Trading, and Overreaction in Asset Markets," Journal of Finance, American Finance Association, vol. 54(6), pages 2143-2184, December.
    25. Kelly, Bryan T. & Moskowitz, Tobias J. & Pruitt, Seth, 2021. "Understanding momentum and reversal," Journal of Financial Economics, Elsevier, vol. 140(3), pages 726-743.
    26. Verardo, Michela, 2009. "Heterogeneous Beliefs and Momentum Profits," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 44(4), pages 795-822, August.
    27. Han, Yufeng & Huang, Dashan & Huang, Dayong & Zhou, Guofu, 2022. "Expected return, volume, and mispricing," Journal of Financial Economics, Elsevier, vol. 143(3), pages 1295-1315.
    28. Harris, Milton & Raviv, Artur, 1993. "Differences of Opinion Make a Horse Race," The Review of Financial Studies, Society for Financial Studies, vol. 6(3), pages 473-506.
    29. Dyl, Edward A. & Yuksel, H. Zafer & Zaynutdinova, Gulnara R., 2019. "Price reversals and price continuations following large price movements," Journal of Business Research, Elsevier, vol. 95(C), pages 1-12.
    30. Cheng, Si & Hameed, Allaudeen & Subrahmanyam, Avanidhar & Titman, Sheridan, 2017. "Short-Term Reversals: The Effects of Past Returns and Institutional Exits," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 52(1), pages 143-173, February.
    31. Jon A. Garfinkel, 2009. "Measuring Investors' Opinion Divergence," Journal of Accounting Research, Wiley Blackwell, vol. 47(5), pages 1317-1348, December.
    32. Li, Yan & Li, Weiping, 2021. "Firm-specific investor sentiment for the Chinese stock market," Economic Modelling, Elsevier, vol. 97(C), pages 231-246.
    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. Li, Yan & Liang, Chao & L.D. Huynh, Toan, 2022. "A new momentum measurement in the Chinese stock market," Pacific-Basin Finance Journal, Elsevier, vol. 73(C).
    2. Li, Yan & Huo, Jiale & Xu, Yongan & Liang, Chao, 2023. "Belief-based momentum indicator and stock market return predictability," Research in International Business and Finance, Elsevier, vol. 64(C).
    3. Chen, Hong-Yi & Hsieh, Chia-Hsun & Lee, Cheng-Few, 2023. "Revisiting the momentum effect in Taiwan: The role of persistency," Pacific-Basin Finance Journal, Elsevier, vol. 78(C).
    4. Cakici, Nusret & Zaremba, Adam, 2022. "Salience theory and the cross-section of stock returns: International and further evidence," Journal of Financial Economics, Elsevier, vol. 146(2), pages 689-725.
    5. Mamdouh Medhat & Maik Schmeling, 2022. "Short-term Momentum," The Review of Financial Studies, Society for Financial Studies, vol. 35(3), pages 1480-1526.
    6. Adam Zaremba & Jacob Koby Shemer, 2018. "Price-Based Investment Strategies," Springer Books, Springer, number 978-3-319-91530-2, September.
    7. Hibbert, Ann Marie & Kang, Qiang & Kumar, Alok & Mishra, Suchi, 2020. "Heterogeneous beliefs and return volatility around seasoned equity offerings," Journal of Financial Economics, Elsevier, vol. 137(2), pages 571-589.
    8. Chen, Tao, 2020. "Does news affect disagreement in global markets?," Journal of Business Research, Elsevier, vol. 109(C), pages 174-183.
    9. Chen, Lin & Qin, Lu & Zhu, Hongquan, 2015. "Opinion divergence, unexpected trading volume and stock returns: Evidence from China," International Review of Economics & Finance, Elsevier, vol. 36(C), pages 119-127.
    10. Al-Nasseri, Alya & Menla Ali, Faek, 2018. "What does investors' online divergence of opinion tell us about stock returns and trading volume?," Journal of Business Research, Elsevier, vol. 86(C), pages 166-178.
    11. Hong‐Yi Chen & Pin‐Huang Chou & Chia‐Hsun Hsieh, 2018. "Persistency of the momentum effect," European Financial Management, European Financial Management Association, vol. 24(5), pages 856-892, November.
    12. Blankespoor, Elizabeth & deHaan, Ed & Marinovic, Iván, 2020. "Disclosure processing costs, investors’ information choice, and equity market outcomes: A review," Journal of Accounting and Economics, Elsevier, vol. 70(2).
    13. Jiang, George J. & Zhu, Kevin X., 2017. "Information Shocks and Short-Term Market Underreaction," Journal of Financial Economics, Elsevier, vol. 124(1), pages 43-64.
    14. Kang, Moonsoo & Khaksari, S. & Nam, Kiseok, 2018. "Corporate investment, short-term return reversal, and stock liquidity," Journal of Financial Markets, Elsevier, vol. 39(C), pages 68-83.
    15. Yen‐Cheng Chang & Pei‐Jie Hsiao & Alexander Ljungqvist & Kevin Tseng, 2022. "Testing Disagreement Models," Journal of Finance, American Finance Association, vol. 77(4), pages 2239-2285, August.
    16. Gao, George P. & Lu, Xiaomeng & Song, Zhaogang & Yan, Hongjun, 2019. "Disagreement beta," Journal of Monetary Economics, Elsevier, vol. 107(C), pages 96-113.
    17. Paul Fischer & Chongho Kim & Frank Zhou, 2022. "Disagreement about fundamentals: measurement and consequences," Review of Accounting Studies, Springer, vol. 27(4), pages 1423-1456, December.
    18. Andreou, Panayiotis C. & Kagkadis, Anastasios & Philip, Dennis & Tuneshev, Ruslan, 2018. "Differences in options investors’ expectations and the cross-section of stock returns," Journal of Banking & Finance, Elsevier, vol. 94(C), pages 315-336.
    19. Atilgan, Yigit & Bali, Turan G. & Demirtas, K. Ozgur & Gunaydin, A. Doruk, 2020. "Left-tail momentum: Underreaction to bad news, costly arbitrage and equity returns," Journal of Financial Economics, Elsevier, vol. 135(3), pages 725-753.
    20. Hillert, Alexander & Jacobs, Heiko & Müller, Sebastian, 2018. "Journalist disagreement," Journal of Financial Markets, Elsevier, vol. 41(C), pages 57-76.

    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:eee:reveco:v:82:y:2022:i:c:p:104-119. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/inca/620165 .

    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.