IDEAS home Printed from https://ideas.repec.org/a/eee/pacfin/v44y2017icp160-172.html
   My bibliography  Save this article

Media sentiment and trading strategies of different types of traders

Author

Listed:
  • Cahill, Daniel
  • Wee, Marvin
  • Yang, Joey W.

Abstract

This paper investigates how the prevailing sentiment conveyed by the media influences trading by retail and institutional traders around earnings announcements made by ASX200 constituent firms. We find that media sentiment influences institutional traders to overreact to earnings news measured by analyst forecast errors. In contrast, retail traders are indifferent to either positive or negative unexpected earnings in the presence of media sentiment. Further analysis reveals that their trading decisions are affected by media sentiment alone, independent of the earnings surprise. We also find that firm-specific media sentiment complements market-wide sentiment by providing timelier information to investors in shaping their perceptions of unexpected earnings in the Australian market.

Suggested Citation

  • Cahill, Daniel & Wee, Marvin & Yang, Joey W., 2017. "Media sentiment and trading strategies of different types of traders," Pacific-Basin Finance Journal, Elsevier, vol. 44(C), pages 160-172.
    • Handle: RePEc:eee:pacfin:v:44:y:2017:i:c:p:160-172
    DOI: 10.1016/j.pacfin.2017.07.001
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0927538X1730121X
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.pacfin.2017.07.001?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. Barclay, Michael J. & Warner, Jerold B., 1993. "Stealth trading and volatility : Which trades move prices?," Journal of Financial Economics, Elsevier, vol. 34(3), pages 281-305, December.
    4. Marvin Wee & Joey W. Yang, 2016. "The Evolution of Informed Liquidity Provision: Evidence from an Order†driven Market," European Financial Management, European Financial Management Association, vol. 22(5), pages 882-915, November.
    5. Hung, Pi-Hsia, 2016. "Investor sentiment, order submission, and investment performance on the Taiwan Stock Exchange," Pacific-Basin Finance Journal, Elsevier, vol. 39(C), pages 124-140.
    6. 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.
    7. Baker, Malcolm & Stein, Jeremy C., 2004. "Market liquidity as a sentiment indicator," Journal of Financial Markets, Elsevier, vol. 7(3), pages 271-299, June.
    8. Chopra, Navin, et al, 1993. "Yes, Discounts on Closed-End Funds Are a Sentiment Index," Journal of Finance, American Finance Association, vol. 48(2), pages 801-808, June.
    9. Lee, Charles M. C., 2001. "Market efficiency and accounting research: a discussion of 'capital market research in accounting' by S.P. Kothari," Journal of Accounting and Economics, Elsevier, vol. 31(1-3), pages 233-253, September.
    10. Nicholas Seybert & Holly I. Yang, 2012. "The Party's Over: The Role of Earnings Guidance in Resolving Sentiment-Driven Overvaluation," Management Science, INFORMS, vol. 58(2), pages 308-319, February.
    11. Brown, Gregory W. & Cliff, Michael T., 2004. "Investor sentiment and the near-term stock market," Journal of Empirical Finance, Elsevier, vol. 11(1), pages 1-27, January.
    12. 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.
    13. Akhtar, Shumi & Faff, Robert & Oliver, Barry & Subrahmanyam, Avanidhar, 2011. "The power of bad: The negativity bias in Australian consumer sentiment announcements on stock returns," Journal of Banking & Finance, Elsevier, vol. 35(5), pages 1239-1249, May.
    14. Lee, Charles M. C., 1992. "Earnings news and small traders : An intraday analysis," Journal of Accounting and Economics, Elsevier, vol. 15(2-3), pages 265-302, August.
    15. 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.
    16. David Hirshleifer, 2001. "Investor Psychology and Asset Pricing," Journal of Finance, American Finance Association, vol. 56(4), pages 1533-1597, August.
    17. repec:bla:jfinan:v:59:y:2004:i:3:p:1125-1165 is not listed on IDEAS
    18. Jeffrey Hales & Xi (Jason) Kuang & Shankar Venkataraman, 2011. "Who Believes the Hype? An Experimental Examination of How Language Affects Investor Judgments," Journal of Accounting Research, Wiley Blackwell, vol. 49(1), pages 223-255, March.
    19. Busse, Jeffrey A. & Clifton Green, T., 2002. "Market efficiency in real time," Journal of Financial Economics, Elsevier, vol. 65(3), pages 415-437, September.
    20. Ritter, Jay R, 1991. "The Long-run Performance of Initial Public Offerings," Journal of Finance, American Finance Association, vol. 46(1), pages 3-27, March.
    21. Nittai K. Bergman & Sugata Roychowdhury, 2008. "Investor Sentiment and Corporate Disclosure," Journal of Accounting Research, Wiley Blackwell, vol. 46(5), pages 1057-1083, December.
    22. Black, Fischer, 1986. "Noise," Journal of Finance, American Finance Association, vol. 41(3), pages 529-543, July.
    23. Fong, Kingsley Y. L. & Gallagher, David R. & Lee, Adrian D., 2014. "Individual Investors and Broker Types," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 49(2), pages 431-451, April.
    24. Brian J. Bushee & John E. Core & Wayne Guay & Sophia J.W. Hamm, 2010. "The Role of the Business Press as an Information Intermediary," Journal of Accounting Research, Wiley Blackwell, vol. 48(1), pages 1-19, March.
    25. Battalio, Robert H. & Mendenhall, Richard R., 2005. "Earnings expectations, investor trade size, and anomalous returns around earnings announcements," Journal of Financial Economics, Elsevier, vol. 77(2), pages 289-319, August.
    26. 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.
    27. Hendershott, Terrence & Livdan, Dmitry & Schürhoff, Norman, 2015. "Are institutions informed about news?," Journal of Financial Economics, Elsevier, vol. 117(2), pages 249-287.
    28. William Cready & Abdullah Kumas & Musa Subasi, 2014. "Are Trade Size‐Based Inferences About Traders Reliable? Evidence from Institutional Earnings‐Related Trading," Journal of Accounting Research, Wiley Blackwell, vol. 52(4), pages 877-909, September.
    29. Ron Kasznik & Maureen F. McNichols, 2002. "Does Meeting Earnings Expectations Matter? Evidence from Analyst Forecast Revisions and Share Prices," Journal of Accounting Research, Wiley Blackwell, vol. 40(3), pages 727-759, June.
    30. David H. Solomon, 2012. "Selective Publicity and Stock Prices," Journal of Finance, American Finance Association, vol. 67(2), pages 599-638, April.
    31. Paul Hribar & John McInnis, 2012. "Investor Sentiment and Analysts' Earnings Forecast Errors," Management Science, INFORMS, vol. 58(2), pages 293-307, February.
    32. Alok Kumar & Charles M.C. Lee, 2006. "Retail Investor Sentiment and Return Comovements," Journal of Finance, American Finance Association, vol. 61(5), pages 2451-2486, October.
    33. Chopra, Navin, et al,, 1993. "Yes, Discounts on Closed-End Funds Are a Sentiment Index: Summing Up," Journal of Finance, American Finance Association, vol. 48(2), pages 811-812, June.
    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. Chinmoy Ghosh & Cristian Pinto‐Gutiérrez & Jaideep Shenoy, 2024. "Does negative news disclosure induce better decision‐making? Evidence from acquisitions," The Financial Review, Eastern Finance Association, vol. 59(2), pages 325-372, May.
    2. Han, Jianlei & Linnenluecke, Martina K. & Pan, Zheyao (Terry) & Smith, Tom, 2019. "The wealth effects of the announcement of the Australian carbon pricing scheme," Pacific-Basin Finance Journal, Elsevier, vol. 53(C), pages 399-409.
    3. Prince T. Medina, 2018. "Equity Analysis in Buying Company Shares on the Philippine Stock Exchange," GATR Journals jfbr148, Global Academy of Training and Research (GATR) Enterprise.

    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. Mahmoudi, Nader & Docherty, Paul & Melia, Adrian, 2022. "Firm-level investor sentiment and corporate announcement returns," Journal of Banking & Finance, Elsevier, vol. 144(C).
    2. Xiong, Xiong & Meng, Yongqiang & Joseph, Nathan Lael & Shen, Dehua, 2020. "Stock mispricing, hard-to-value stocks and the influence of internet stock message boards," International Review of Financial Analysis, Elsevier, vol. 72(C).
    3. Zhou, Xuemei & Liu, Qiang & Guo, Shuxin, 2021. "Do overnight returns explain firm-specific investor sentiment in China?," International Review of Economics & Finance, Elsevier, vol. 76(C), pages 451-477.
    4. Tiwari, Aviral Kumar & Abakah, Emmanuel Joel Aikins & Bonsu, Christiana Osei & Karikari, Nana Kwasi & Hammoudeh, Shawkat, 2022. "The effects of public sentiments and feelings on stock market behavior: Evidence from Australia," Journal of Economic Behavior & Organization, Elsevier, vol. 193(C), pages 443-472.
    5. Li, Xiao & Shen, Dehua & Xue, Mei & Zhang, Wei, 2017. "Daily happiness and stock returns: The case of Chinese company listed in the United States," Economic Modelling, Elsevier, vol. 64(C), pages 496-501.
    6. Jiang, Fuwei & Lee, Joshua & Martin, Xiumin & Zhou, Guofu, 2019. "Manager sentiment and stock returns," Journal of Financial Economics, Elsevier, vol. 132(1), pages 126-149.
    7. 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).
    8. Mehwish Aziz Khan & Eatzaz Ahmad, 2018. "Measurement of Investor Sentiment and Its Bi-Directional Contemporaneous and Lead–Lag Relationship with Returns: Evidence from Pakistan," Sustainability, MDPI, vol. 11(1), pages 1-20, December.
    9. Li, Jinfang, 2017. "Investor sentiment, heterogeneous agents and asset pricing model," The North American Journal of Economics and Finance, Elsevier, vol. 42(C), pages 504-512.
    10. Gyamfi-Yeboah, Frank & Ling, David C. & Naranjo, Andy, 2012. "Information, uncertainty, and behavioral effects: Evidence from abnormal returns around real estate investment trust earnings announcements," Journal of International Money and Finance, Elsevier, vol. 31(7), pages 1930-1952.
    11. Stambaugh, Robert F. & Yu, Jianfeng & Yuan, Yu, 2012. "The short of it: Investor sentiment and anomalies," Journal of Financial Economics, Elsevier, vol. 104(2), pages 288-302.
    12. Zhang, Chris H. & Frijns, Bart, 2019. "Noise trading and informational efficiency," EconStor Preprints 198037, ZBW - Leibniz Information Centre for Economics.
    13. Wenjie Ding & Khelifa Mazouz & Qingwei Wang, 2019. "Investor sentiment and the cross-section of stock returns: new theory and evidence," Review of Quantitative Finance and Accounting, Springer, vol. 53(2), pages 493-525, August.
    14. Li, Jinfang, 2014. "Multi-period sentiment asset pricing model with information," International Review of Economics & Finance, Elsevier, vol. 34(C), pages 118-130.
    15. Jeffrey J. Coulton & Tami Dinh & Andrew B. Jackson & Tom Smith, 2016. "The impact of sentiment on price discovery," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 56(3), pages 669-694, September.
    16. Wang, Wenzhao & Duxbury, Darren, 2021. "Institutional investor sentiment and the mean-variance relationship: Global evidence," Journal of Economic Behavior & Organization, Elsevier, vol. 191(C), pages 415-441.
    17. John Garcia, 2021. "Analyst herding and firm-level investor sentiment," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 35(4), pages 461-494, December.
    18. Yu, Jianfeng & Yuan, Yu, 2011. "Investor sentiment and the mean-variance relation," Journal of Financial Economics, Elsevier, vol. 100(2), pages 367-381, May.
    19. Baker, Malcolm & Wurgler, Jeffrey & Yuan, Yu, 2012. "Global, local, and contagious investor sentiment," Journal of Financial Economics, Elsevier, vol. 104(2), pages 272-287.
    20. Gric, Zuzana & Bajzík, Josef & Badura, Ondřej, 2023. "Does sentiment affect stock returns? A meta-analysis across survey-based measures," International Review of Financial Analysis, Elsevier, vol. 89(C).

    More about this item

    Keywords

    Media sentiment; Abnormal net purchase; Unexpected earnings; Analyst forecast error;
    All these keywords.

    JEL classification:

    • G02 - Financial Economics - - General - - - Behavioral Finance: Underlying Principles
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

    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:eee:pacfin:v:44:y:2017:i:c:p:160-172. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/pacfin .

    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.