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The puzzling media effect in the Chinese stock market

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  • Huang, Tzu-Lun

Abstract

Due to tight control over the media, whether the media effect exists in China has been a much-debated question. This study focuses on Chinese stock markets and reports a different media effect on stock returns. Empirical results show that large firms, growth firms, and firms with high leverage are more frequently featured in media reports. Moreover, stocks frequently reported in the news yield higher stock returns than those less covered by the media. Stocks with much media coverage also exhibit significantly higher alphas in the Fama-French five-factor model. The results are robust to model settings and to well-known risk factors. Controlling for size, further analyses reveal that the media effect moderates the size effect and appears to be more pronounced among small stocks. An increase in media coverage tends to result in positive price pressures in the current month followed by a return reversal in the long run. The return pattern caused by abnormal increases in media coverage also supports the attention theory.

Suggested Citation

  • Huang, Tzu-Lun, 2018. "The puzzling media effect in the Chinese stock market," Pacific-Basin Finance Journal, Elsevier, vol. 49(C), pages 129-146.
  • Handle: RePEc:eee:pacfin:v:49:y:2018:i:c:p:129-146
    DOI: 10.1016/j.pacfin.2018.04.005
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    1. Djankov, Simeon & McLiesh, Caralee & Nenova, Tatiana & Shleifer, Andrei, 2003. "Who Owns the Media?," Journal of Law and Economics, University of Chicago Press, vol. 46(2), pages 341-381, October.
    2. 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.
    3. 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.
    4. Gregory S. Miller, 2006. "The Press as a Watchdog for Accounting Fraud," Journal of Accounting Research, Wiley Blackwell, vol. 44(5), pages 1001-1033, December.
    5. Tarun Chordia & Richard Roll & Avanidhar Subrahmanyam, 2001. "Market Liquidity and Trading Activity," Journal of Finance, American Finance Association, vol. 56(2), pages 501-530, April.
    6. Lo, Andrew W & Wang, Jiang, 2000. "Trading Volume: Definitions, Data Analysis, and Implications of Portfolio Theory," The Review of Financial Studies, Society for Financial Studies, vol. 13(2), pages 257-300.
    7. Borochin, Paul & Cu, Wei Hua, 2018. "Alternative corporate governance: Domestic media coverage of mergers and acquisitions in China," Journal of Banking & Finance, Elsevier, vol. 87(C), pages 1-25.
    8. Fama, Eugene F. & French, Kenneth R., 2015. "A five-factor asset pricing model," Journal of Financial Economics, Elsevier, vol. 116(1), pages 1-22.
    9. Barber, Brad M. & Loeffler, Douglas, 1993. "The “Dartboard” Column: Second-Hand Information and Price Pressure," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 28(2), pages 273-284, June.
    10. French, Kenneth R. & Roll, Richard, 1986. "Stock return variances : The arrival of information and the reaction of traders," Journal of Financial Economics, Elsevier, vol. 17(1), pages 5-26, September.
    11. 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.
    12. Dopuch, Nicholas & Holthausen, Robert W. & Leftwich, Richard W., 1986. "Abnormal stock returns associated with media disclosures of `subject to' qualified audit opinions," Journal of Accounting and Economics, Elsevier, vol. 8(2), pages 93-117, June.
    13. 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.
    14. Kihlstrom, Richard, 1974. "A general theory of demand for information about product quality," Journal of Economic Theory, Elsevier, vol. 8(4), pages 413-439, August.
    15. Ren Li, 2013. "Media Corruption: A Chinese Characteristic," Journal of Business Ethics, Springer, vol. 116(2), pages 297-310, August.
    16. 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.
    17. 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.
    18. Karpoff, Jonathan M., 1987. "The Relation between Price Changes and Trading Volume: A Survey," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 22(1), pages 109-126, March.
    19. Zhi Da & Joseph Engelberg & Pengjie Gao, 2011. "In Search of Attention," Journal of Finance, American Finance Association, vol. 66(5), pages 1461-1499, October.
    20. Thompson, Rb & Olsen, C & Dietrich, Jr, 1987. "Attributes Of News About Firms - An Analysis Of Firm-Specific News Reported In The Wall Street Journal Index," Journal of Accounting Research, Wiley Blackwell, vol. 25(2), pages 245-274.
    21. Tarun Chordia & Sahn-Wook Huh & Avanidhar Subrahmanyam, 2007. "The Cross-Section of Expected Trading Activity," The Review of Financial Studies, Society for Financial Studies, vol. 20(3), pages 709-740.
    22. Vlastakis, Nikolaos & Markellos, Raphael N., 2012. "Information demand and stock market volatility," Journal of Banking & Finance, Elsevier, vol. 36(6), pages 1808-1821.
    23. 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.
    24. 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.
    25. 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.
    26. repec:bla:jfinan:v:53:y:1998:i:2:p:673-699 is not listed on IDEAS
    27. Jiwei Wang & Kangtao Ye, 2015. "Media Coverage and Firm Valuation: Evidence from China," Journal of Business Ethics, Springer, vol. 127(3), pages 501-511, March.
    28. Yakov Amihud & Haim Mendelson, 2006. "Stock and Bond Liquidity and its Effect on Prices and Financial Policies," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 20(1), pages 19-32, April.
    29. Brad M. Barber & Terrance Odean, 2008. "All That Glitters: The Effect of Attention and News on the Buying Behavior of Individual and Institutional Investors," The Review of Financial Studies, Society for Financial Studies, vol. 21(2), pages 785-818, April.
    30. George A. Akerlof, 1970. "The Market for "Lemons": Quality Uncertainty and the Market Mechanism," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 84(3), pages 488-500.
    31. Fama, Eugene F, et al, 1969. "The Adjustment of Stock Prices to New Information," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 10(1), pages 1-21, February.
    32. Allen, Beth, 1990. "Information as an Economic Commodity," American Economic Review, American Economic Association, vol. 80(2), pages 268-273, May.
    33. Guo, Bin & Zhang, Wei & Zhang, Yongjie & Zhang, Han, 2017. "The five-factor asset pricing model tests for the Chinese stock market," Pacific-Basin Finance Journal, Elsevier, vol. 43(C), pages 84-106.
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    Cited by:

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    2. Bouteska, Ahmed & Sharif, Taimur & Abedin, Mohammad Zoynul, 2023. "COVID-19 and stock returns: Evidence from the Markov switching dependence approach," Research in International Business and Finance, Elsevier, vol. 64(C).
    3. Feipeng Zhang & Yun Hong & Yanhui Jiang & Jiayi Yu, 2022. "Impact of national media reporting concerning COVID-19 on stock market in China: empirical evidence from a quantile regression," Applied Economics, Taylor & Francis Journals, vol. 54(33), pages 3861-3881, July.
    4. Tao Huang & Xueyong Zhang, 2022. "Media coverage of industry and the cross‐section of stock returns," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 62(S1), pages 1107-1141, April.
    5. Guomei Tang & Xueyong Zhang, 2021. "Media attention to locations and the cross‐section of stock returns," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 61(S1), pages 2301-2336, April.

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    More about this item

    Keywords

    Media effect; Asset pricing; Investor attention; The Fama and French (2015) five-factor model; The Chinese stock market;
    All these keywords.

    JEL classification:

    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

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