IDEAS home Printed from https://ideas.repec.org/a/eee/riibaf/v60y2022ics0275531921002117.html
   My bibliography  Save this article

Media sentiment and cross-sectional stock returns in the Chinese stock market

Author

Listed:
  • Du, Hanyu
  • Hao, Jing
  • He, Feng
  • Xi, Wenze

Abstract

While Fang and Peress (2009) discover the media coverage premium in the U.S. market, we find that this anomaly also exists in the Chinese stock market. We further classify the media articles into positive, neutral, and negative sentiment to test the media sentiment anomaly in the cross-sectional stock returns. We find that firms without positive news or negative news have significant positive excepted returns. Portfolios constructed by longing firms without negative news and shorting firms with high negative news could obtain the highest abnormal return after considering well-known risk factors. Moreover, we test the different combinations of portfolio formation and holding period. We find that the excess return exists for more than three months holding periods with different portfolio formation periods by news sentiment. We conclude that news sentiment anomalies are not caused by the short-term momentum effect and are robust in the Chinese stock market.

Suggested Citation

  • Du, Hanyu & Hao, Jing & He, Feng & Xi, Wenze, 2022. "Media sentiment and cross-sectional stock returns in the Chinese stock market," Research in International Business and Finance, Elsevier, vol. 60(C).
    • Handle: RePEc:eee:riibaf:v:60:y:2022:i:c:s0275531921002117
    DOI: 10.1016/j.ribaf.2021.101590
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0275531921002117
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.ribaf.2021.101590?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. Joel Peress, 2014. "The Media and the Diffusion of Information in Financial Markets: Evidence from Newspaper Strikes," Journal of Finance, American Finance Association, vol. 69(5), pages 2007-2043, October.
    2. Yuan, Yu, 2015. "Market-wide attention, trading, and stock returns," Journal of Financial Economics, Elsevier, vol. 116(3), pages 548-564.
    3. Liping Zou & Kien Dinh Cao & Yishun Wang, 2019. "Media Coverage and the Cross‐Section of Stock Returns: The Chinese Evidence," International Review of Finance, International Review of Finance Ltd., vol. 19(4), pages 707-729, December.
    4. Al-Maadid, Alanoud & Caporale, Guglielmo Maria & Spagnolo, Fabio & Spagnolo, Nicola, 2020. "The impact of business and political news on the GCC stock markets," Research in International Business and Finance, Elsevier, vol. 52(C).
    5. Chen Liu, 2021. "COVID-19 and the Energy Stock Market - Evidence From China," Energy RESEARCH LETTERS, Asia-Pacific Applied Economics Association, vol. 2(3), pages 1-5.
    6. Paul C. Tetlock, 2011. "All the News That's Fit to Reprint: Do Investors React to Stale Information?," Review of Financial Studies, Society for Financial Studies, vol. 24(5), pages 1481-1512.
    7. Brian J. Bushee & John E. Core & Wayne Guay & Sophia J.W. Hamm, 2010. "The Role of the Business Press as an Information Intermediary," Journal of Accounting Research, Wiley Blackwell, vol. 48(1), pages 1-19, March.
    8. Merton, Robert C, 1987. "A Simple Model of Capital Market Equilibrium with Incomplete Information," Journal of Finance, American Finance Association, vol. 42(3), pages 483-510, July.
    9. Paul C. Tetlock, 2010. "Does Public Financial News Resolve Asymmetric Information?," Review of Financial Studies, Society for Financial Studies, vol. 23(9), pages 3520-3557.
    10. Paul C. Tetlock & Maytal Saar‐Tsechansky & Sofus Macskassy, 2008. "More Than Words: Quantifying Language to Measure Firms' Fundamentals," Journal of Finance, American Finance Association, vol. 63(3), pages 1437-1467, June.
    11. Kewei Hou & Chen Xue & Lu Zhang, 2015. "Editor's Choice Digesting Anomalies: An Investment Approach," Review of Financial Studies, Society for Financial Studies, vol. 28(3), pages 650-705.
    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. Daniel Kahneman & Amos Tversky, 2013. "Prospect Theory: An Analysis of Decision Under Risk," World Scientific Book Chapters, in: Leonard C MacLean & William T Ziemba (ed.), HANDBOOK OF THE FUNDAMENTALS OF FINANCIAL DECISION MAKING Part I, chapter 6, pages 99-127, World Scientific Publishing Co. Pte. Ltd..
    14. Alexander Hillert & Heiko Jacobs & Sebastian Müller, 2014. "Media Makes Momentum," Review of Financial Studies, Society for Financial Studies, vol. 27(12), pages 3467-3501.
    15. 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.
    16. Kent Daniel & David Hirshleifer & Lin Sun, 2020. "Short- and Long-Horizon Behavioral Factors [Financial intermediaries and the cross-section of asset returns]," Review of Financial Studies, Society for Financial Studies, vol. 33(4), pages 1673-1736.
    17. Wang, Wenzhao & Su, Chen & Duxbury, Darren, 2021. "Investor sentiment and stock returns: Global evidence," Journal of Empirical Finance, Elsevier, vol. 63(C), pages 365-391.
    18. Lily Fang & Joel Peress, 2009. "Media Coverage and the Cross‐section of Stock Returns," Journal of Finance, American Finance Association, vol. 64(5), pages 2023-2052, October.
    19. 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.
    20. Ahmad, Khurshid & Han, JingGuang & Hutson, Elaine & Kearney, Colm & Liu, Sha, 2016. "Media-expressed negative tone and firm-level stock returns," Journal of Corporate Finance, Elsevier, vol. 37(C), pages 152-172.
    21. Duan, Yuejiao & Liu, Lanbiao & Wang, Zhuo, 2021. "COVID-19 Sentiment and the Chinese Stock Market: Evidence from the Official News Media and Sina Weibo," Research in International Business and Finance, Elsevier, vol. 58(C).
    22. Hillert, Alexander & Jacobs, Heiko & Müller, Sebastian, 2018. "Journalist disagreement," Journal of Financial Markets, Elsevier, vol. 41(C), pages 57-76.
    23. Liu, Sha & Han, Jingguang, 2020. "Media tone and expected stock returns," International Review of Financial Analysis, Elsevier, vol. 70(C).
    24. Inaba, Kei-Ichiro, 2020. "Information-driven stock return comovements across countries," Research in International Business and Finance, Elsevier, vol. 51(C).
    25. Carhart, Mark M, 1997. "On Persistence in Mutual Fund Performance," Journal of Finance, American Finance Association, vol. 52(1), pages 57-82, March.
    26. Li, Cong-Cong & Xu, Hai-Chuan & Zhou, Wei-Xing, 2020. "News coverage and portfolio returns: Evidence from China," Pacific-Basin Finance Journal, Elsevier, vol. 60(C).
    27. Brad M. Barber & Terrance Odean, 2008. "All That Glitters: The Effect of Attention and News on the Buying Behavior of Individual and Institutional Investors," Review of Financial Studies, Society for Financial Studies, vol. 21(2), pages 785-818, April.
    28. Kent Daniel & David Hirshleifer & Lin Sun, 2020. "Short- and Long-Horizon Behavioral Factors," Review of Finance, European Finance Association, vol. 33(4), pages 1673-1736.
    29. 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.
    30. Paul C. Tetlock, 2007. "Giving Content to Investor Sentiment: The Role of Media in the Stock Market," Journal of Finance, American Finance Association, vol. 62(3), pages 1139-1168, June.
    31. Kewei Hou & Haitao Mo & Chen Xue & Lu Zhang, 2021. "An Augmented q-Factor Model with Expected Growth [Abnormal returns to a fundamental analysis strategy]," Review of Finance, European Finance Association, vol. 25(1), pages 1-41.
    32. Terrance Odean, 1999. "Do Investors Trade Too Much?," American Economic Review, American Economic Association, vol. 89(5), pages 1279-1298, December.
    33. Tim Loughran & Bill Mcdonald, 2011. "When Is a Liability Not a Liability? Textual Analysis, Dictionaries, and 10‐Ks," Journal of Finance, American Finance Association, vol. 66(1), pages 35-65, February.
    34. Li An & Huijun Wang & Jian Wang & Jianfeng Yu, 2020. "Lottery-Related Anomalies: The Role of Reference-Dependent Preferences," Management Science, INFORMS, vol. 66(1), pages 473-501, January.
    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. Zeitun, Rami & Rehman, Mobeen Ur & Ahmad, Nasir & Vo, Xuan Vinh, 2023. "The impact of Twitter-based sentiment on US sectoral returns," The North American Journal of Economics and Finance, Elsevier, vol. 64(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. Feng, Lingbing & Fu, Tong & Shi, Yanlin, 2022. "How does news sentiment affect the states of Japanese stock return volatility?," International Review of Financial Analysis, Elsevier, vol. 84(C).
    4. Wu, Chunying & Xiong, Xiong & Gao, Ya & Zhang, Jin, 2022. "Does social media distort price discovery? Evidence from rumor clarifications," Research in International Business and Finance, Elsevier, vol. 62(C).
    5. Hao, Jing, 2023. "Retail investor attention and corporate innovation in the big data era," International Review of Financial Analysis, Elsevier, vol. 86(C).
    6. Yin, Libo & Yang, Zhichen, 2022. "The profitability effect: Insight from a dynamic perspective," International Review of Financial Analysis, Elsevier, vol. 80(C).

    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. Liu, Sha & Han, Jingguang, 2020. "Media tone and expected stock returns," International Review of Financial Analysis, Elsevier, vol. 70(C).
    2. Wu, Chen-Hui & Lin, Chan-Jane, 2017. "The impact of media coverage on investor trading behavior and stock returns," Pacific-Basin Finance Journal, Elsevier, vol. 43(C), pages 151-172.
    3. Jacobs, Heiko, 2020. "Hype or help? Journalists’ perceptions of mispriced stocks," Journal of Economic Behavior & Organization, Elsevier, vol. 178(C), pages 550-565.
    4. Hillert, Alexander & Jacobs, Heiko & Müller, Sebastian, 2018. "Journalist disagreement," Journal of Financial Markets, Elsevier, vol. 41(C), pages 57-76.
    5. Dong, Dayong & Wu, Keke & Fang, Jianchun & Gozgor, Giray & Yan, Cheng, 2022. "Investor attention factors and stock returns: Evidence from China," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 77(C).
    6. Kim, Hee-Eun & Jo, Hoje & Ahn, Tae-Wook & Yi, Junesuh, 2022. "Corporate misconduct, media coverage, and stock returns," International Review of Financial Analysis, Elsevier, vol. 84(C).
    7. Bonsall, Samuel B. & Green, Jeremiah & Muller, Karl A., 2020. "Market uncertainty and the importance of media coverage at earnings announcements," Journal of Accounting and Economics, Elsevier, vol. 69(1).
    8. Ahmad, Khurshid & Han, JingGuang & Hutson, Elaine & Kearney, Colm & Liu, Sha, 2016. "Media-expressed negative tone and firm-level stock returns," Journal of Corporate Finance, Elsevier, vol. 37(C), pages 152-172.
    9. Xin Chen & Wei He & Libin Tao & Jianfeng Yu, 2023. "Attention and Underreaction-Related Anomalies," Management Science, INFORMS, vol. 69(1), pages 636-659, January.
    10. Ahmad, Fawad & Oriani, Raffaele, 2022. "Investor attention, information acquisition, and value premium: A mispricing perspective," International Review of Financial Analysis, Elsevier, vol. 79(C).
    11. Solomon, David H. & Soltes, Eugene & Sosyura, Denis, 2014. "Winners in the spotlight: Media coverage of fund holdings as a driver of flows," Journal of Financial Economics, Elsevier, vol. 113(1), pages 53-72.
    12. Hollstein, Fabian, 2022. "The world of anomalies: Smaller than we think?," Journal of International Money and Finance, Elsevier, vol. 129(C).
    13. Long, Huaigang & Zaremba, Adam & Zhou, Wenyu & Bouri, Elie, 2022. "Macroeconomics matter: Leading economic indicators and the cross-section of global stock returns," Journal of Financial Markets, Elsevier, vol. 61(C).
    14. Tom Marty & Bruce Vanstone & Tobias Hahn, 2020. "News media analytics in finance: a survey," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 60(2), pages 1385-1434, June.
    15. Karapandza, Rasa, 2016. "Stock returns and future tense language in 10-K reports," Journal of Banking & Finance, Elsevier, vol. 71(C), pages 50-61.
    16. Buehlmaier, Matthias M. M. & Zechner, Josef, 2016. "Financial media, price discovery, and merger arbitrage," CFS Working Paper Series 551, Center for Financial Studies (CFS).
    17. Dang, Tung Lam & Dang, Man & Hoang, Luong & Nguyen, Lily & Phan, Hoang Long, 2020. "Media coverage and stock price synchronicity," International Review of Financial Analysis, Elsevier, vol. 67(C).
    18. Keunbae Ahn, 2021. "Predictable Fluctuations in the Cross-Section and Time-Series of Asset Prices," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 1-2021.
    19. Frijns, Bart & Huynh, Thanh D., 2018. "Herding in analysts’ recommendations: The role of media," Journal of Banking & Finance, Elsevier, vol. 91(C), pages 1-18.
    20. Wang, Zijun, 2021. "The high volume return premium and economic fundamentals," Journal of Financial Economics, Elsevier, vol. 140(1), pages 325-345.

    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:riibaf:v:60:y:2022:i:c:s0275531921002117. 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/ribaf .

    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.