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Retail investor attention and firms' idiosyncratic risk: Evidence from China

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  • Hao, Jing
  • Xiong, Xiong

Abstract

This paper investigates retail investor attention to firms' idiosyncratic risk in China. We use the Baidu search index as a proxy for attention and test its effect on Chinese firms' idiosyncratic risk from 2011 to 2017. Our empirical results suggest investor attention has a positive impact on firms' idiosyncratic risk. This effect is robust to possible endogeneity issues and alternative channels of effects and is stronger for small firms. Additional analysis finds that the effect of our proxy for attention on firms' idiosyncratic risk is stronger than investor sentiment and traditional attention proxies, including announcements, media news, analyst ratings, and brokerage reports. These findings provide evidence of retail investor attention could increase firms' contemporaneous idiosyncratic risk, and decrease firms' subsequent period risk.

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  • Hao, Jing & Xiong, Xiong, 2021. "Retail investor attention and firms' idiosyncratic risk: Evidence from China," International Review of Financial Analysis, Elsevier, vol. 74(C).
    • Handle: RePEc:eee:finana:v:74:y:2021:i:c:s1057521921000181
    DOI: 10.1016/j.irfa.2021.101675
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    as
    1. John Y. Campbell & Martin Lettau & Burton G. Malkiel & Yexiao Xu, 2001. "Have Individual Stocks Become More Volatile? An Empirical Exploration of Idiosyncratic Risk," Journal of Finance, American Finance Association, vol. 56(1), pages 1-43, February.
    2. West, Kenneth D, 1988. "Dividend Innovations and Stock Price Volatility," Econometrica, Econometric Society, vol. 56(1), pages 37-61, January.
    3. Gao, Zhenyu & Ren, Haohan & Zhang, Bohui, 2020. "Googling Investor Sentiment around the World," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 55(2), pages 549-580, March.
    4. Yexiao Xu & Burton G. Malkiel, 2003. "Investigating the Behavior of Idiosyncratic Volatility," The Journal of Business, University of Chicago Press, vol. 76(4), pages 613-644, October.
    5. 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.
    6. Glasserman, Paul & Mamaysky, Harry, 2019. "Does Unusual News Forecast Market Stress?," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 54(5), pages 1937-1974, October.
    7. Gu, Ming & Jiang, George J. & Xu, Bu, 2019. "The role of analysts: An examination of the idiosyncratic volatility anomaly in the Chinese stock market," Journal of Empirical Finance, Elsevier, vol. 52(C), pages 237-254.
    8. Miguel A. Ferreira & Paul A. Laux, 2007. "Corporate Governance, Idiosyncratic Risk, and Information Flow," Journal of Finance, American Finance Association, vol. 62(2), pages 951-989, April.
    9. Mara Faccio & Maria-Teresa Marchica & Roberto Mura, 2011. "Large Shareholder Diversification and Corporate Risk-Taking," The Review of Financial Studies, Society for Financial Studies, vol. 24(11), pages 3601-3641.
    10. Robert F Engle & Stefano Giglio & Bryan Kelly & Heebum Lee & Johannes Stroebel, 2020. "Hedging Climate Change News," The Review of Financial Studies, Society for Financial Studies, vol. 33(3), pages 1184-1216.
    11. Fink, Jason & Fink, Kristin E. & Grullon, Gustavo & Weston, James P., 2010. "What Drove the Increase in Idiosyncratic Volatility during the Internet Boom?," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 45(5), pages 1253-1278, October.
    12. 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.
    13. Behrendt, Simon & Schmidt, Alexander, 2018. "The Twitter myth revisited: Intraday investor sentiment, Twitter activity and individual-level stock return volatility," Journal of Banking & Finance, Elsevier, vol. 96(C), pages 355-367.
    14. Yugang Yin & Rongfu Tian, 2017. "Investor Sentiment, Financial Report Quality and Stock Price Crash Risk: Role of Short-Sales Constraints," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 53(3), pages 493-510, March.
    15. 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.
    16. Matthias Bank & Martin Larch & Georg Peter, 2011. "Google search volume and its influence on liquidity and returns of German stocks," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 25(3), pages 239-264, September.
    17. Peng, Lin & Xiong, Wei, 2006. "Investor attention, overconfidence and category learning," Journal of Financial Economics, Elsevier, vol. 80(3), pages 563-602, June.
    18. 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.
    19. Gregory S. Miller & Douglas J. Skinner, 2015. "The Evolving Disclosure Landscape: How Changes in Technology, the Media, and Capital Markets Are Affecting Disclosure," Journal of Accounting Research, Wiley Blackwell, vol. 53(2), pages 221-239, May.
    20. Rongsheng Shi & Zhi Xu & Zhengrong Chen & Jing Huang, 2012. "Does attention affect individual investors' investment return?," China Finance Review International, Emerald Group Publishing Limited, vol. 2(2), pages 143-162, April.
    21. 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.
    22. 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).
    23. Fama, Eugene F & MacBeth, James D, 1973. "Risk, Return, and Equilibrium: Empirical Tests," Journal of Political Economy, University of Chicago Press, vol. 81(3), pages 607-636, May-June.
    24. Friesen, Geoffrey C. & Zhang, Yi & Zorn, Thomas S., 2012. "Heterogeneous Beliefs and Risk-Neutral Skewness," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 47(4), pages 851-872, August.
    25. David Hirshleifer & Sonya S. Lim & Siew Hong Teoh, 2011. "Limited Investor Attention and Stock Market Misreactions to Accounting Information," The Review of Asset Pricing Studies, Society for Financial Studies, vol. 1(1), pages 35-73.
    26. Reyes, Tomas, 2018. "Limited attention and M&A announcements," Journal of Empirical Finance, Elsevier, vol. 49(C), pages 201-222.
    27. Ding, Rong & Hou, Wenxuan, 2015. "Retail investor attention and stock liquidity," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 37(C), pages 12-26.
    28. Simon Gervais & Ron Kaniel & Dan H. Mingelgrin, 2001. "The High‐Volume Return Premium," Journal of Finance, American Finance Association, vol. 56(3), pages 877-919, June.
    29. Fama, Eugene F & French, Kenneth R, 1992. "The Cross-Section of Expected Stock Returns," Journal of Finance, American Finance Association, vol. 47(2), pages 427-465, June.
    30. Zhi Da & Joseph Engelberg & Pengjie Gao, 2011. "In Search of Attention," Journal of Finance, American Finance Association, vol. 66(5), pages 1461-1499, October.
    31. Michael S. Drake & Darren T. Roulstone & Jacob R. Thornock, 2012. "Investor Information Demand: Evidence from Google Searches Around Earnings Announcements," Journal of Accounting Research, Wiley Blackwell, vol. 50(4), pages 1001-1040, September.
    32. Jiang, George J. & Xu, Danielle & Yao, Tong, 2009. "The Information Content of Idiosyncratic Volatility," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 44(1), pages 1-28, February.
    33. Gustavo Grullon, 2004. "Advertising, Breadth of Ownership, and Liquidity," The Review of Financial Studies, Society for Financial Studies, vol. 17(2), pages 439-461.
    34. Seasholes, Mark S. & Wu, Guojun, 2007. "Predictable behavior, profits, and attention," Journal of Empirical Finance, Elsevier, vol. 14(5), pages 590-610, December.
    35. Xu, Nianhang & Jiang, Xuanyu & Chan, Kam C. & Yi, Zhihong, 2013. "Analyst coverage, optimism, and stock price crash risk: Evidence from China," Pacific-Basin Finance Journal, Elsevier, vol. 25(C), pages 217-239.
    36. 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.
    37. 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.
    38. 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.
    39. Aggarwal, Reena & Klapper, Leora & Wysocki, Peter D., 2005. "Portfolio preferences of foreign institutional investors," Journal of Banking & Finance, Elsevier, vol. 29(12), pages 2919-2946, December.
    40. Ahsan Habib & Mostafa Monzur Hasan, 2017. "Firm life cycle, corporate risk-taking and investor sentiment," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 57(2), pages 465-497, June.
    41. Vlastakis, Nikolaos & Markellos, Raphael N., 2012. "Information demand and stock market volatility," Journal of Banking & Finance, Elsevier, vol. 36(6), pages 1808-1821.
    42. Haritha P H & Abdul Rishad, 2020. "An empirical examination of investor sentiment and stock market volatility: evidence from India," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 6(1), pages 1-15, December.
    43. Mao He & Juncheng Huang & Hongquan Zhu, 2020. "Heterogeneous beliefs and idiosyncratic volatility puzzle: evidence from China," China Finance Review International, Emerald Group Publishing Limited, vol. 11(1), pages 124-141, August.
    44. Levy, Haim, 1978. "Equilibrium in an Imperfect Market: A Constraint on the Number of Securities in the Portfolio," American Economic Review, American Economic Association, vol. 68(4), pages 643-658, September.
    45. Alberto Abadie & Guido W. Imbens, 2006. "Large Sample Properties of Matching Estimators for Average Treatment Effects," Econometrica, Econometric Society, vol. 74(1), pages 235-267, January.
    46. deHaan, Ed & Shevlin, Terry & Thornock, Jacob, 2015. "Market (in)attention and the strategic scheduling and timing of earnings announcements," Journal of Accounting and Economics, Elsevier, vol. 60(1), pages 36-55.
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