IDEAS home Printed from https://ideas.repec.org/a/bla/acctfi/v57y2017i5p1635-1670.html
   My bibliography  Save this article

Media sentiment, institutional investors and probability of stock price crash: evidence from Chinese stock markets

Author

Listed:
  • Yanjian Zhu
  • Zhaoying Wu
  • Hua Zhang
  • Jing Yu

Abstract

Using a large sample of firm‐level media reports data, we examine whether and how media reports affect the probability of stock price crash in China. We find that positive media reports reduce the probability of stock price crash, while the relationship between negative reports and the probability of price crash is U‐shaped. The probability of stock price crash is more sensitive to the media reports in SOEs and large firms. Furthermore, we find evidence to support the media management behaviour of institutional investors. Such behaviour significantly changes the probability of stock price crash. However, we only observe the media management behaviour of institutional investors in firms held by non‐block institutions, in support of the notion that transient investors behave opportunistically and reap short‐term investment gains through media management.

Suggested Citation

  • Yanjian Zhu & Zhaoying Wu & Hua Zhang & Jing Yu, 2017. "Media sentiment, institutional investors and probability of stock price crash: evidence from Chinese stock markets," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 57(5), pages 1635-1670, December.
  • Handle: RePEc:bla:acctfi:v:57:y:2017:i:5:p:1635-1670
    DOI: 10.1111/acfi.12355
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/acfi.12355
    Download Restriction: no

    File URL: https://libkey.io/10.1111/acfi.12355?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. Hyunyoung Choi & Hal Varian, 2012. "Predicting the Present with Google Trends," The Economic Record, The Economic Society of Australia, vol. 88(s1), pages 2-9, June.
    2. Alexander Dyck & Natalya Volchkova & Luigi Zingales, 2008. "The Corporate Governance Role of the Media: Evidence from Russia," Journal of Finance, American Finance Association, vol. 63(3), pages 1093-1135, June.
    3. 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.
    4. Ernst Maug, 1998. "Large Shareholders as Monitors: Is There a Trade-Off between Liquidity and Control?," Journal of Finance, American Finance Association, vol. 53(1), pages 65-98, February.
    5. Xu, Nianhang & Li, Xiaorong & Yuan, Qingbo & Chan, Kam C., 2014. "Excess perks and stock price crash risk: Evidence from China," Journal of Corporate Finance, Elsevier, vol. 25(C), pages 419-434.
    6. Clifford G. Holderness, 2003. "A survey of blockholders and corporate control," Economic Policy Review, Federal Reserve Bank of New York, vol. 9(Apr), pages 51-64.
    7. Hutton, Amy P. & Marcus, Alan J. & Tehranian, Hassan, 2009. "Opaque financial reports, R2, and crash risk," Journal of Financial Economics, Elsevier, vol. 94(1), pages 67-86, October.
    8. Sanjiv R. Das & Mike Y. Chen, 2007. "Yahoo! for Amazon: Sentiment Extraction from Small Talk on the Web," Management Science, INFORMS, vol. 53(9), pages 1375-1388, September.
    9. S. P. Kothari & Susan Shu & Peter D. Wysocki, 2009. "Do Managers Withhold Bad News?," Journal of Accounting Research, Wiley Blackwell, vol. 47(1), pages 241-276, March.
    10. Harrison Hong & Jeremy C. Stein, 2003. "Differences of Opinion, Short-Sales Constraints, and Market Crashes," The Review of Financial Studies, Society for Financial Studies, vol. 16(2), pages 487-525.
    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. Min Zhang & Lu Xie & Haoran Xu, 2016. "Corporate Philanthropy and Stock Price Crash Risk: Evidence from China," Journal of Business Ethics, Springer, vol. 139(3), pages 595-617, December.
    13. Chang, Xin & Chen, Yangyang & Zolotoy, Leon, 2017. "Stock Liquidity and Stock Price Crash Risk," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 52(4), pages 1605-1637, August.
    14. Jin, Li & Myers, Stewart C., 2006. "R2 around the world: New theory and new tests," Journal of Financial Economics, Elsevier, vol. 79(2), pages 257-292, February.
    15. 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.
    16. David P. Mackinnon & James H. Dwyer, 1993. "Estimating Mediated Effects in Prevention Studies," Evaluation Review, , vol. 17(2), pages 144-158, April.
    17. Bryan Kelly & Hao Jiang, 2014. "Editor's Choice Tail Risk and Asset Prices," The Review of Financial Studies, Society for Financial Studies, vol. 27(10), pages 2841-2871.
    18. Hou, Wenxuan & Kuo, Jing-Ming & Lee, Edward, 2012. "The impact of state ownership on share price informativeness: The case of the Split Share Structure Reform in China," The British Accounting Review, Elsevier, vol. 44(4), pages 248-261.
    19. Alexander Dyck & Luigi Zingales, 2004. "Control Premiums and the Effectiveness of Corporate Governance Systems," Journal of Applied Corporate Finance, Morgan Stanley, vol. 16(2‐3), pages 51-72, March.
    20. Kim, Jeong-Bon & Li, Yinghua & Zhang, Liandong, 2011. "CFOs versus CEOs: Equity incentives and crashes," Journal of Financial Economics, Elsevier, vol. 101(3), pages 713-730, September.
    21. Umit G. Gurun & Alexander W. Butler, 2012. "Don't Believe the Hype: Local Media Slant, Local Advertising, and Firm Value," Journal of Finance, American Finance Association, vol. 67(2), pages 561-598, April.
    22. 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.
    23. Werner Antweiler & Murray Z. Frank, 2004. "Is All That Talk Just Noise? The Information Content of Internet Stock Message Boards," Journal of Finance, American Finance Association, vol. 59(3), pages 1259-1294, June.
    24. Bena, Jan & Ferreira, Miguel A & Matos, Pedro & Pires, Pedro, 2017. "Are foreign investors locusts? The long-term effects of foreign institutional ownership," Journal of Financial Economics, Elsevier, vol. 126(1), pages 122-146.
    25. Joe, Jennifer R. & Louis, Henock & Robinson, Dahlia, 2009. "Managers’ and Investors’ Responses to Media Exposure of Board Ineffectiveness," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 44(3), pages 579-605, June.
    26. Liang, Bing & Park, Hyuna, 2010. "Predicting Hedge Fund Failure: A Comparison of Risk Measures," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 45(1), pages 199-222, February.
    27. Unknown, 2014. "Media Coverage 2014," 2014: Ethics, Efficiency and Food Security: Feeding the 9 Billion, Well, 26-28 August 2014 225573, Crawford Fund.
    28. Zhi Da & Joseph Engelberg & Pengjie Gao, 2011. "In Search of Attention," Journal of Finance, American Finance Association, vol. 66(5), pages 1461-1499, October.
    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. Huang, Tao & Zhang, Xueyong, 2022. "Industry-level media tone and the cross-section of stock returns," International Review of Economics & Finance, Elsevier, vol. 77(C), pages 59-77.
    2. Jianlei Han & Jing He & Zheyao Pan & Jing Shi, 2018. "Twenty Years of Accounting and Finance Research on the Chinese Capital Market," Abacus, Accounting Foundation, University of Sydney, vol. 54(4), pages 576-599, December.
    3. Wu, Chunying & Xiong, Xiong & Gao, Ya & Zhang, Jin, 2022. "Does social media coverage deter firms from withholding bad news? Evidence from stock price crash risk," International Review of Financial Analysis, Elsevier, vol. 84(C).
    4. Xuejun Jin & Ziqing Chen & Xiaolan Yang, 2019. "Economic policy uncertainty and stock price crash risk," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 58(5), pages 1291-1318, March.
    5. Cynthia W. Cai & Martina K. Linnenluecke & Mauricio Marrone & Abhay K. Singh, 2019. "Machine Learning and Expert Judgement: Analyzing Emerging Topics in Accounting and Finance Research in the Asia–Pacific," Abacus, Accounting Foundation, University of Sydney, vol. 55(4), pages 709-733, December.
    6. Xiong Xiong & Chunchun Luo & Ye Zhang & Shen Lin, 2019. "Do stock bulletin board systems (BBS) contain useful information? A viewpoint of interaction between BBS quality and predicting ability," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 58(5), pages 1385-1411, March.
    7. Yuan, Mengyi & Zhang, Lin & Lian, Yonghui, 2022. "Economic policy uncertainty and stock price crash risk of commercial banks: Evidence from China," Economic Analysis and Policy, Elsevier, vol. 74(C), pages 587-605.
    8. 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).
    9. Dan Zhang & Shiguang Ma & Xiaofei Pan, 2021. "Institutional investors, controlling shareholders and CEO pay‐performance relationship: evidence from China," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 61(1), pages 467-498, March.
    10. Imran Yousaf & Shoaib Ali & Wing-Keung Wong, 2020. "An Empirical Analysis of the Volatility Spillover Effect between World-Leading and the Asian Stock Markets: Implications for Portfolio Management," JRFM, MDPI, vol. 13(10), pages 1-28, September.
    11. Yasheng Chen & Xian Huang & Zhuojun Wu, 2023. "From natural language to accounting entries using a natural language processing method," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 63(4), pages 3781-3795, December.
    12. Mahdi Moradi & Andrea Appolloni & Grzegorz Zimon & Hossein Tarighi & Maede Kamali, 2021. "Macroeconomic Factors and Stock Price Crash Risk: Do Managers Withhold Bad News in the Crisis-Ridden Iran Market?," Sustainability, MDPI, vol. 13(7), pages 1-16, March.
    13. Wu, Xiang & Zhang, Bing & Fu, Junhui & Liu, Yufang, 2022. "IPO over-financing and stock price crash risk: Evidence from China," Finance Research Letters, Elsevier, vol. 47(PA).
    14. Quariguasi Frota Neto, João & Dutordoir, Marie, 2020. "Mapping the market for remanufacturing: An application of “Big Data” analytics," International Journal of Production Economics, Elsevier, vol. 230(C).
    15. Fengyan Wang & Ziyuan Sun & Hua Feng, 2022. "Can Media Attention Promote Green Innovation of Chinese Enterprises? Regulatory Effect of Environmental Regulation and Green Finance," Sustainability, MDPI, vol. 14(17), pages 1-25, September.
    16. Tang, Liang & Wan, Xiangyu, 2022. "Economic policy uncertainty and stock price informativeness," Pacific-Basin Finance Journal, Elsevier, vol. 75(C).
    17. Zhang, Wei & Zhou, Zhong-Qiang & Xiong, Xiong, 2019. "Behavioral heterogeneity and excess stock price volatility in China," Finance Research Letters, Elsevier, vol. 28(C), pages 348-354.
    18. Fang, Hao & Chung, Chien-Ping & Lu, Yang-Cheng & Lee, Yen-Hsien & Wang, Wen-Hao, 2021. "The impacts of investors' sentiments on stock returns using fintech approaches," International Review of Financial Analysis, Elsevier, vol. 77(C).
    19. Yanmei Sun & Xiaoting Sun & Weixing Wu, 2021. "Who detects corporate fraud under the thriving of the new media? Evidence from Chinese‐listed firms," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 61(S1), pages 1313-1343, April.
    20. Wang, Xiaoxiao & Liu, Haiming, 2022. "The impact of rollover restriction on stock price crash risk," Pacific-Basin Finance Journal, Elsevier, vol. 74(C).
    21. Wang, Gaoshan & Yu, Guangjin & Shen, Xiaohong, 2021. "The effect of online environmental news on green industry stocks: The mediating role of investor sentiment," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 573(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. Feng He & Yaqian Feng & Lingbing Feng, 2023. "Social media information dissemination and corporate bad news hoarding," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 63(S1), pages 1503-1532, April.
    2. Xu, Yongxin & Xuan, Yuhao & Zheng, Gaoping, 2021. "Internet searching and stock price crash risk: Evidence from a quasi-natural experiment," Journal of Financial Economics, Elsevier, vol. 141(1), pages 255-275.
    3. Cheng, Feiyang & Wang, Chunfeng & Chiao, Chaoshin & Yao, Shouyu & Fang, Zhenming, 2021. "Retail attention, retail trades, and stock price crash risk," Emerging Markets Review, Elsevier, vol. 49(C).
    4. Buehlmaier, Matthias M. M. & Zechner, Josef, 2016. "Financial media, price discovery, and merger arbitrage," CFS Working Paper Series 551, Center for Financial Studies (CFS).
    5. An, Zhe & Chen, Chen & Naiker, Vic & Wang, Jun, 2020. "Does media coverage deter firms from withholding bad news? Evidence from stock price crash risk," Journal of Corporate Finance, Elsevier, vol. 64(C).
    6. 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).
    7. 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).
    8. Tzomakas, Christos & Anastasiou, Dimitrios & Katsafados, Apostolos & Krokida, Styliani Iris, 2023. "Crisis sentiment and banks’ stock price crash risk: A missing piece of the puzzle?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 87(C).
    9. Yang, Jun & Lu, Jing & Xiang, Cheng, 2020. "Company visits and stock price crash risk: Evidence from China," Emerging Markets Review, Elsevier, vol. 44(C).
    10. Lin, Tse-Chun & Liu, Jinyu & Ni, Xiaoran, 2022. "Foreign bank entry deregulation and stock market stability: Evidence from staggered regulatory changes," Journal of Empirical Finance, Elsevier, vol. 69(C), pages 185-207.
    11. Kim, Jeong-Bon & Liao, Shushu & Liu, Yangke, 2021. "Married CEOs and Stock Price Crash Risk," QBS Working Paper Series 2021/09, Queen's University Belfast, Queen's Business School.
    12. An, Suwei, 2023. "Essays on incentive contracts, M&As, and firm risk," Other publications TiSEM dd97d2f5-1c9d-47c5-ba62-f, Tilburg University, School of Economics and Management.
    13. Tim Loughran & Bill Mcdonald, 2016. "Textual Analysis in Accounting and Finance: A Survey," Journal of Accounting Research, Wiley Blackwell, vol. 54(4), pages 1187-1230, September.
    14. Tsai, Feng-Tse & Lu, Hsin-Min & Hung, Mao-Wei, 2016. "The impact of news articles and corporate disclosure on credit risk valuation," Journal of Banking & Finance, Elsevier, vol. 68(C), pages 100-116.
    15. Fu, Junhui & Wu, Xiang & Liu, Yufang & Chen, Rongda, 2021. "Firm-specific investor sentiment and stock price crash risk," Finance Research Letters, Elsevier, vol. 38(C).
    16. Loughran, Tim & McDonald, Bill & Pragidis, Ioannis, 2019. "Assimilation of oil news into prices," International Review of Financial Analysis, Elsevier, vol. 63(C), pages 105-118.
    17. Gang Chu & Xiao Li & Dehua Shen & Yongjie Zhang, 2021. "Stock Crashes and Jumps Reactions to Information Demand and Supply: An Intraday Analysis," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 28(3), pages 397-427, September.
    18. Hao, Jing & Xiong, Xiong, 2021. "Retail investor attention and firms' idiosyncratic risk: Evidence from China," International Review of Financial Analysis, Elsevier, vol. 74(C).
    19. Ji, Qiong & Quan, Xiaofeng & Yin, Hongying & Yuan, Qingbo, 2021. "Gambling preferences and stock price crash risk: Evidence from China," Journal of Banking & Finance, Elsevier, vol. 128(C).
    20. Lu, Jing & Qiu, Yuhang, 2023. "Does non-punitive regulation diminish stock price crash risk?," Journal of Banking & Finance, Elsevier, vol. 148(C).

    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:acctfi:v:57:y:2017:i:5:p:1635-1670. 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: https://edirc.repec.org/data/aaanzea.html .

    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.