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Black mouth, investor attention, and stock return

Author

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  • Hong, Ziyang
  • Liu, Qingfu
  • Tse, Yiuman
  • Wang, Zilu

Abstract

We investigate “black mouth” in the Chinese stock market, which is a form of manipulation based on disinformation, and examine how investors react to such “credible signals.” Credible signals simply refer to those that easily gain investor trust and influence investor behavior. Black mouth temporarily leads to abnormal investor attention and triggers an abnormal stock return. We show that different types of manipulators send different credible signals with black mouth by security analysts having a larger impact on stock returns. Media attention impacts investor attention more, while media sentiment has a greater impact on stock return. We also find that publicity supervision enhances the role of credible signals and makes investors more distrustful of information disseminated by ordinary manipulators, indicating the need for regulators to strengthen the supervision of black mouth.

Suggested Citation

  • Hong, Ziyang & Liu, Qingfu & Tse, Yiuman & Wang, Zilu, 2023. "Black mouth, investor attention, and stock return," International Review of Financial Analysis, Elsevier, vol. 90(C).
  • Handle: RePEc:eee:finana:v:90:y:2023:i:c:s1057521923004374
    DOI: 10.1016/j.irfa.2023.102921
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    as
    1. Maggio, Marco Di & Franzoni, Francesco & Kermani, Amir & Sommavilla, Carlo, 2019. "The relevance of broker networks for information diffusion in the stock market," Journal of Financial Economics, Elsevier, vol. 134(2), pages 419-446.
    2. Hua, Renhai & Liu, Qingfu & Tse, Yiuman, 2016. "Extended trading in Chinese index markets: Informed or uninformed?," Pacific-Basin Finance Journal, Elsevier, vol. 36(C), pages 112-122.
    3. Yan Zhang & Margarethe F. Wiersema, 2009. "Stock market reaction to CEO certification: the signaling role of CEO background," Strategic Management Journal, Wiley Blackwell, vol. 30(7), pages 693-710, July.
    4. Qingfu Liu & Yiuman Tse & Linlin Zhang, 2018. "Including commodity futures in asset allocation in China," Quantitative Finance, Taylor & Francis Journals, vol. 18(9), pages 1487-1499, September.
    5. 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.
    6. Xiaoying Zhai & Yahui Hao & Eric M. Scheffel & Yongmin Zhang, 2020. "Investor Disagreement, Government Subsidies and the Abnormal Day-one Returns of IPOs: Evidence from China," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 56(14), pages 3522-3550, November.
    7. Luigi Guiso & Paola Sapienza & Luigi Zingales, 2008. "Trusting the Stock Market," Journal of Finance, American Finance Association, vol. 63(6), pages 2557-2600, December.
    8. Leippold, Markus & Wang, Qian & Zhou, Wenyu, 2022. "Machine learning in the Chinese stock market," Journal of Financial Economics, Elsevier, vol. 145(2), pages 64-82.
    9. Chen, Ka-Hin & Lai, Tze Leung & Liu, Qingfu & Wang, Chuanjie, 2022. "Beyond the blockchain announcement: Signaling credibility and market reaction," International Review of Financial Analysis, Elsevier, vol. 82(C).
    10. Womack, Kent L, 1996. "Do Brokerage Analysts' Recommendations Have Investment Value?," Journal of Finance, American Finance Association, vol. 51(1), pages 137-167, March.
    11. Pevzner, Mikhail & Xie, Fei & Xin, Xiangang, 2015. "When firms talk, do investors listen? The role of trust in stock market reactions to corporate earnings announcements," Journal of Financial Economics, Elsevier, vol. 117(1), pages 190-223.
    12. Grossman, Sanford J & Stiglitz, Joseph E, 1980. "On the Impossibility of Informationally Efficient Markets," American Economic Review, American Economic Association, vol. 70(3), pages 393-408, June.
    13. Nicolosi, Gina & Peng, Liang & Zhu, Ning, 2009. "Do individual investors learn from their trading experience?," Journal of Financial Markets, Elsevier, vol. 12(2), pages 317-336, May.
    14. Roland Benabou & Guy Laroque, 1992. "Using Privileged Information to Manipulate Markets: Insiders, Gurus, and Credibility," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 107(3), pages 921-958.
    15. Philipp Weber & Bernd Rosenow, 2006. "Large stock price changes: volume or liquidity?," Quantitative Finance, Taylor & Francis Journals, vol. 6(1), pages 7-14.
    16. Lei Feng & Mark Seasholes, 2005. "Do Investor Sophistication and Trading Experience Eliminate Behavioral Biases in Financial Markets?," Review of Finance, Springer, vol. 9(3), pages 305-351, September.
    17. Ji Sun & Yi Zhou & Jiaguo (George) Wang & Jie (Michael) Guo, 2020. "Influence of media coverage and sentiment on seasoned equity offerings," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 60(S1), pages 557-585, April.
    18. Chahine, Salim & Mansi, Sattar & Mazboudi, Mohamad, 2015. "Media news and earnings management prior to equity offerings," Journal of Corporate Finance, Elsevier, vol. 35(C), pages 177-195.
    19. An, Yunbi & Jin, Han & Liu, Qingfu & Zheng, Kaixin, 2022. "Media attention and agency costs: Evidence from listed companies in China," Journal of International Money and Finance, Elsevier, vol. 124(C).
    20. Chansog (Francis) Kim & Ke Wang & Liandong Zhang, 2019. "Readability of 10‐K Reports and Stock Price Crash Risk," Contemporary Accounting Research, John Wiley & Sons, vol. 36(2), pages 1184-1216, June.
    21. Chen, Joseph & Hong, Harrison & Stein, Jeremy C., 2001. "Forecasting crashes: trading volume, past returns, and conditional skewness in stock prices," Journal of Financial Economics, Elsevier, vol. 61(3), pages 345-381, September.
    22. Goldman, Eitan & Martel, Jordan & Schneemeier, Jan, 2022. "A theory of financial media," Journal of Financial Economics, Elsevier, vol. 145(1), pages 239-258.
    23. Berkman, Henk & Cole, Rebel A. & Fu, Lawrence J., 2010. "Political Connections and Minority-Shareholder Protection: Evidence from Securities-Market Regulation in China," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 45(6), pages 1391-1417, December.
    24. Baloria, Vishal P. & Heese, Jonas, 2018. "The effects of media slant on firm behavior," Journal of Financial Economics, Elsevier, vol. 129(1), pages 184-202.
    25. Dirk Sliwka, 2007. "Trust as a Signal of a Social Norm and the Hidden Costs of Incentive Schemes," American Economic Review, American Economic Association, vol. 97(3), pages 999-1012, June.
    26. Xiaoying Zhai & Huiping Ma & Yongmin Zhang, 2022. "Can high-performance funds be built and managed by improving their network locations? –- evidence from entrepreneurship in Chinese fund managers," International Entrepreneurship and Management Journal, Springer, vol. 18(1), pages 383-407, March.
    27. Hu, Jinshuai & Li, Siqi & Taboada, Alvaro G. & Zhang, Feida, 2020. "Corporate board reforms around the world and stock price crash risk," Journal of Corporate Finance, Elsevier, vol. 62(C).
    28. Allen, Franklin & Gale, Douglas, 1992. "Stock-Price Manipulation," The Review of Financial Studies, Society for Financial Studies, vol. 5(3), pages 503-529.
    29. Daniel Andrei & Michael Hasler, 2015. "Investor Attention and Stock Market Volatility," The Review of Financial Studies, Society for Financial Studies, vol. 28(1), pages 33-72.
    30. Gordon Pennycook & Ziv Epstein & Mohsen Mosleh & Antonio A. Arechar & Dean Eckles & David G. Rand, 2021. "Shifting attention to accuracy can reduce misinformation online," Nature, Nature, vol. 592(7855), pages 590-595, April.
    31. Umit G Gurun & Noah Stoffman & Scott E Yonker, 2018. "Trust Busting: The Effect of Fraud on Investor Behavior," The Review of Financial Studies, Society for Financial Studies, vol. 31(4), pages 1341-1376.
    32. Lei Feng & Mark S. Seasholes, 2005. "Do Investor Sophistication and Trading Experience Eliminate Behavioral Biases in Financial Markets?," Review of Finance, European Finance Association, vol. 9(3), pages 305-351.
    33. Sheridan Titman & Chishen Wei. Wei & Bin Zhao, 2021. "Corporate Actions and the Manipulation of Retail Investors in China: An Analysis of Stock Splits," NBER Working Papers 29212, National Bureau of Economic Research, Inc.
    34. Antoniou, Constantinos & Harrison, Glenn W. & Lau, Morten I. & Read, Daniel, 2017. "Information Characteristics and Errors in Expectations: Experimental Evidence," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 52(2), pages 737-750, April.
    35. Guo, Li & Li, Frank Weikai & John Wei, K.C., 2020. "Security analysts and capital market anomalies," Journal of Financial Economics, Elsevier, vol. 137(1), pages 204-230.
    36. Agarwal, Shweta & Kumar, Shailendra & Goel, Utkarsh, 2019. "Stock market response to information diffusion through internet sources: A literature review," International Journal of Information Management, Elsevier, vol. 45(C), pages 118-131.
    37. Mikhail, Michael B. & Walther, Beverly R. & Willis, Richard H., 2004. "Do security analysts exhibit persistent differences in stock picking ability?," Journal of Financial Economics, Elsevier, vol. 74(1), pages 67-91, October.
    38. Khwaja, Asim Ijaz & Mian, Atif, 2005. "Unchecked intermediaries: Price manipulation in an emerging stock market," Journal of Financial Economics, Elsevier, vol. 78(1), pages 203-241, October.
    39. Zhang, Yongjie & Song, Weixin & Shen, Dehua & Zhang, Wei, 2016. "Market reaction to internet news: Information diffusion and price pressure," Economic Modelling, Elsevier, vol. 56(C), pages 43-49.
    40. Guo, Mengmeng & Kuai, Yicheng & Liu, Xiaoyan, 2020. "Stock market response to environmental policies: Evidence from heavily polluting firms in China," Economic Modelling, Elsevier, vol. 86(C), pages 306-316.
    41. Kenneth R. Ahern & Denis Sosyura, 2015. "Rumor Has It: Sensationalism in Financial Media," The Review of Financial Studies, Society for Financial Studies, vol. 28(7), pages 2050-2093.
    42. Chew Lian Chua & Sarantis Tsiaplias, 2019. "Information flows and stock market volatility," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 34(1), pages 129-148, January.
    43. Alexander Hillert & Heiko Jacobs & Sebastian Müller, 2014. "Media Makes Momentum," The Review of Financial Studies, Society for Financial Studies, vol. 27(12), pages 3467-3501.
    44. Michaely, Roni & Womack, Kent L, 1999. "Conflict of Interest and the Credibility of Underwriter Analyst Recommendations," The Review of Financial Studies, Society for Financial Studies, vol. 12(4), pages 653-686.
    45. John D. Lyon & Brad M. Barber & Chih‐Ling Tsai, 1999. "Improved Methods for Tests of Long‐Run Abnormal Stock Returns," Journal of Finance, American Finance Association, vol. 54(1), pages 165-201, February.
    46. Gina Nicolosi & Liang Peng & Ning Zhu, 2003. "Do Individual Investors Learn from Their Trading Experience?," Yale School of Management Working Papers ysm439, Yale School of Management, revised 01 Sep 2009.
    47. Comerton-Forde, Carole & Putnins, Talis J., 2011. "Measuring closing price manipulation," Journal of Financial Intermediation, Elsevier, vol. 20(2), pages 135-158, April.
    48. Daniel Schmidt & Itay Goldstein, 2020. "Stock Market Rumors and Credibility," The Review of Financial Studies, Society for Financial Studies, vol. 33(8), pages 3804-3853.
    49. 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.
    50. Wen, Fenghua & Xu, Longhao & Ouyang, Guangda & Kou, Gang, 2019. "Retail investor attention and stock price crash risk: Evidence from China," International Review of Financial Analysis, Elsevier, vol. 65(C).
    51. Shimon Kogan & Tobias J Moskowitz & Marina Niessner, 2023. "Social Media and Financial News Manipulation," Review of Finance, European Finance Association, vol. 27(4), pages 1229-1268.
    52. Brad Barber & Reuven Lehavy & Maureen McNichols & Brett Trueman, 2001. "Can Investors Profit from the Prophets? Security Analyst Recommendations and Stock Returns," Journal of Finance, American Finance Association, vol. 56(2), pages 531-563, April.
    53. Anirudh Dhawan & Tālis J Putniņš, 2023. "A New Wolf in Town? Pump-and-Dump Manipulation in Cryptocurrency Markets," Review of Finance, European Finance Association, vol. 27(3), pages 935-975.
    54. Dan Palmon & Ephraim Sudit & Ari Yezegel, 2009. "The value of columnists’ stock recommendations: an event study approach," Review of Quantitative Finance and Accounting, Springer, vol. 33(3), pages 209-232, October.
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    More about this item

    Keywords

    Black mouth; Disinformation; Investor attention; Stock return; Publicity supervision;
    All these keywords.

    JEL classification:

    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

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