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Firm-specific investor sentiment and the stock market response to earnings news

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  • Seok, Sang Ik
  • Cho, Hoon
  • Ryu, Doojin

Abstract

We link accounting-based anomalies to investors’ behavioral biases and find that investors respond to earnings news differently according to sentiment. The stock price reaction to positive earnings surprises is significantly greater for firms with high sentiment, suggesting that investors are more optimistic about the expected cash flows included in good earnings news for firms with high sentiment. Investors only partially accept information in good earnings news that differs from their expectations for firms with low sentiment. For negative earnings surprises, stock price sensitivity is slightly higher for firms with low sentiment, but this effect is insignificant because investors only partially update their information from bad earnings news regardless of the sentiment level. We observe no difference in the information content of earnings news according to sentiment level that could induce the different stock price sensitivity patterns.

Suggested Citation

  • Seok, Sang Ik & Cho, Hoon & Ryu, Doojin, 2019. "Firm-specific investor sentiment and the stock market response to earnings news," The North American Journal of Economics and Finance, Elsevier, vol. 48(C), pages 221-240.
    • Handle: RePEc:eee:ecofin:v:48:y:2019:i:c:p:221-240
    DOI: 10.1016/j.najef.2019.01.014
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    as
    1. Jeremy C. Stein, 2009. "Presidential Address: Sophisticated Investors and Market Efficiency," Journal of Finance, American Finance Association, vol. 64(4), pages 1517-1548, August.
    2. Freeman, Rn & Tse, Sy, 1992. "A Nonlinear Model Of Security Price Responses To Unexpected Earnings," Journal of Accounting Research, Wiley Blackwell, vol. 30(2), pages 185-209.
    3. Haiqiang Chen & Terence Tai-Leung Chong & Xin Duan, 2010. "A principal-component approach to measuring investor sentiment," Quantitative Finance, Taylor & Francis Journals, vol. 10(4), pages 339-347.
    4. Yang, Chunpeng & Gao, Bin, 2014. "The term structure of sentiment effect in stock index futures market," The North American Journal of Economics and Finance, Elsevier, vol. 30(C), pages 171-182.
    5. Malcolm Baker & Jeffrey Wurgler, 2006. "Investor Sentiment and the Cross‐Section of Stock Returns," Journal of Finance, American Finance Association, vol. 61(4), pages 1645-1680, August.
    6. Harrison Hong & Jeremy C. Stein, 1999. "A Unified Theory of Underreaction, Momentum Trading, and Overreaction in Asset Markets," Journal of Finance, American Finance Association, vol. 54(6), pages 2143-2184, December.
    7. Chunpeng Yang & Rengui Zhang, 2014. "Does mixed-frequency investor sentiment impact stock returns? Based on the empirical study of MIDAS regression model," Applied Economics, Taylor & Francis Journals, vol. 46(9), pages 966-972, March.
    8. Seok, Sang Ik & Cho, Hoon & Ryu, Doojin, 2019. "Firm-specific investor sentiment and daily stock returns," The North American Journal of Economics and Finance, Elsevier, vol. 50(C).
    9. Somnath Das & Baruch Lev, 1994. "Nonlinearity in the Returns†Earnings Relation: Tests of Alternative Specifications and Explanations," Contemporary Accounting Research, John Wiley & Sons, vol. 11(1), pages 353-379, June.
    10. Kothari, S. P., 2001. "Capital markets research in accounting," Journal of Accounting and Economics, Elsevier, vol. 31(1-3), pages 105-231, September.
    11. Bartov, Eli & Givoly, Dan & Hayn, Carla, 2002. "The rewards to meeting or beating earnings expectations," Journal of Accounting and Economics, Elsevier, vol. 33(2), pages 173-204, June.
    12. Doojin Ryu & Hyeyoen Kim & Heejin Yang, 2017. "Investor sentiment, trading behavior and stock returns," Applied Economics Letters, Taylor & Francis Journals, vol. 24(12), pages 826-830, July.
    13. Baker, Malcolm & Stein, Jeremy C., 2004. "Market liquidity as a sentiment indicator," Journal of Financial Markets, Elsevier, vol. 7(3), pages 271-299, June.
    14. Momtchil Pojarliev & Richard M. Levich, 2010. "Detecting Crowded Trades in Currency Funds," NBER Working Papers 15698, National Bureau of Economic Research, Inc.
    15. Gregory W. Brown & Michael T. Cliff, 2005. "Investor Sentiment and Asset Valuation," The Journal of Business, University of Chicago Press, vol. 78(2), pages 405-440, March.
    16. Kothari, S. P. & Shanken, Jay, 1997. "Book-to-market, dividend yield, and expected market returns: A time-series analysis," Journal of Financial Economics, Elsevier, vol. 44(2), pages 169-203, May.
    17. Bernard, Vl & Thomas, Jk, 1989. "Post-Earnings-Announcement Drift - Delayed Price Response Or Risk Premium," Journal of Accounting Research, Wiley Blackwell, vol. 27, pages 1-36.
    18. Schmeling, Maik, 2009. "Investor sentiment and stock returns: Some international evidence," Journal of Empirical Finance, Elsevier, vol. 16(3), pages 394-408, June.
    19. Ball, R & Brown, P, 1968. "Empirical Evaluation Of Accounting Income Numbers," Journal of Accounting Research, Wiley Blackwell, vol. 6(2), pages 159-178.
    20. Barberis, Nicholas & Thaler, Richard, 2003. "A survey of behavioral finance," Handbook of the Economics of Finance, in: G.M. Constantinides & M. Harris & R. M. Stulz (ed.), Handbook of the Economics of Finance, edition 1, volume 1, chapter 18, pages 1053-1128, Elsevier.
    21. 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.
    22. Richard Sias & H. J. Turtle & Blerina Zykaj, 2016. "Hedge Fund Crowds and Mispricing," Management Science, INFORMS, vol. 62(3), pages 764-784, March.
    23. Yang, Chunpeng & Zhou, Liyun, 2016. "Individual stock crowded trades, individual stock investor sentiment and excess returns," The North American Journal of Economics and Finance, Elsevier, vol. 38(C), pages 39-53.
    24. Liao, Tsai-Ling & Huang, Chih-Jen & Wu, Chieh-Yuan, 2011. "Do fund managers herd to counter investor sentiment?," Journal of Business Research, Elsevier, vol. 64(2), pages 207-212, February.
    25. Michael Welker & H. Charles Sparks, 2001. "Individual, Institutional, And Specialist Trade Patterns Before And After Disclosure," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 24(2), pages 261-287, June.
    26. Stefano Dellavigna & Joshua M. Pollet, 2009. "Investor Inattention and Friday Earnings Announcements," Journal of Finance, American Finance Association, vol. 64(2), pages 709-749, April.
    27. De Long, J Bradford & Andrei Shleifer & Lawrence H. Summers & Robert J. Waldmann, 1990. "Noise Trader Risk in Financial Markets," Journal of Political Economy, University of Chicago Press, vol. 98(4), pages 703-738, August.
    28. Andrea Frazzini, 2006. "The Disposition Effect and Underreaction to News," Journal of Finance, American Finance Association, vol. 61(4), pages 2017-2046, August.
    29. Daniel, Kent, et al, 1997. "Measuring Mutual Fund Performance with Characteristic-Based Benchmarks," Journal of Finance, American Finance Association, vol. 52(3), pages 1035-1058, July.
    30. Terence Tai-Leung Chong & Wing-Kam Ng, 2008. "Technical analysis and the London stock exchange: testing the MACD and RSI rules using the FT30," Applied Economics Letters, Taylor & Francis Journals, vol. 15(14), pages 1111-1114.
    31. repec:bla:jfinan:v:53:y:1998:i:6:p:1839-1885 is not listed on IDEAS
    32. Gao, Bin & Yang, Chunpeng, 2017. "Forecasting stock index futures returns with mixed-frequency sentiment," International Review of Economics & Finance, Elsevier, vol. 49(C), pages 69-83.
    33. 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.
    34. Joshua Livnat & Richard R. Mendenhall, 2006. "Comparing the Post–Earnings Announcement Drift for Surprises Calculated from Analyst and Time Series Forecasts," Journal of Accounting Research, Wiley Blackwell, vol. 44(1), pages 177-205, March.
    35. Jennifer Conrad & Bradford Cornell & Wayne R. Landsman, 2002. "When Is Bad News Really Bad News?," Journal of Finance, American Finance Association, vol. 57(6), pages 2507-2532, December.
    36. Nicholas Mangee, 2017. "New Evidence on Psychology and Stock Returns," Journal of Behavioral Finance, Taylor & Francis Journals, vol. 18(4), pages 417-426, October.
    37. H. J. Turtle & Kainan Wang, 2017. "The Value In Fundamental Accounting Information," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 40(1), pages 113-140, March.
    38. G.M. Constantinides & M. Harris & R. M. Stulz (ed.), 2003. "Handbook of the Economics of Finance," Handbook of the Economics of Finance, Elsevier, edition 1, volume 1, number 1, March.
    39. Grinblatt, Mark & Han, Bing, 2005. "Prospect theory, mental accounting, and momentum," Journal of Financial Economics, Elsevier, vol. 78(2), pages 311-339, November.
    40. Corredor, Pilar & Ferrer, Elena & Santamaria, Rafael, 2013. "Investor sentiment effect in stock markets: Stock characteristics or country-specific factors?," International Review of Economics & Finance, Elsevier, vol. 27(C), pages 572-591.
    41. Yang, Chunpeng & Zhou, Liyun, 2015. "Investor trading behavior, investor sentiment and asset prices," The North American Journal of Economics and Finance, Elsevier, vol. 34(C), pages 42-62.
    42. repec:bla:jfinan:v:53:y:1998:i:5:p:1775-1798 is not listed on IDEAS
    43. G.M. Constantinides & M. Harris & R. M. Stulz (ed.), 2003. "Handbook of the Economics of Finance," Handbook of the Economics of Finance, Elsevier, edition 1, volume 1, number 2, March.
    44. Deven Bathia & Don Bredin, 2013. "An examination of investor sentiment effect on G7 stock market returns," The European Journal of Finance, Taylor & Francis Journals, vol. 19(9), pages 909-937, October.
    45. Chan, Louis K C & Jegadeesh, Narasimhan & Lakonishok, Josef, 1996. "Momentum Strategies," Journal of Finance, American Finance Association, vol. 51(5), pages 1681-1713, December.
    46. Richard R. Mendenhall, 2004. "Arbitrage Risk and Post-Earnings-Announcement Drift," The Journal of Business, University of Chicago Press, vol. 77(4), pages 875-894, October.
    47. Veronesi, Pietro, 1999. "Stock Market Overreaction to Bad News in Good Times: A Rational Expectations Equilibrium Model," The Review of Financial Studies, Society for Financial Studies, vol. 12(5), pages 975-1007.
    48. Aboody, David & Even-Tov, Omri & Lehavy, Reuven & Trueman, Brett, 2018. "Overnight Returns and Firm-Specific Investor Sentiment," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 53(2), pages 485-505, April.
    49. 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.
    50. Welker, Michael & Sparks, H Charles, 2001. "Individual, Institutional, and Specialist Trade Patterns before and after Disclosure," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 24(2), pages 261-287, Summer.
    51. Michael Lemmon & Evgenia Portniaguina, 2006. "Consumer Confidence and Asset Prices: Some Empirical Evidence," The Review of Financial Studies, Society for Financial Studies, vol. 19(4), pages 1499-1529.
    52. Owen Lamont & Andrea Frazzini, 2007. "The Earnings Announcement Premium and Trading Volume," NBER Working Papers 13090, National Bureau of Economic Research, Inc.
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    More about this item

    Keywords

    Behavioral finance; Earnings announcement return; Firm-specific investor sentiment; Stock market reaction;
    All these keywords.

    JEL classification:

    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
    • G41 - Financial Economics - - Behavioral Finance - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making in Financial Markets

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