IDEAS home Printed from https://ideas.repec.org/a/eee/jbrese/v109y2020icp174-183.html
   My bibliography  Save this article

Does news affect disagreement in global markets?

Author

Listed:
  • Chen, Tao

Abstract

Given the stylized fact of persistent divergent opinion in financial markets, this study examines why investors develop disagreement. Specifically, we study how gradual information flow affects the dynamic of disagreement. Using a global sample, we discover that disagreement reacts dissimilarly to good and bad news. In other words, disagreement rises (drops) with the posterior probability of informed trading on negative (positive) news. Furthermore, short-sale constraints, investor overconfidence, speculative trading, and liquidity are potential drivers of these asymmetric responses in disagreement.

Suggested Citation

  • Chen, Tao, 2020. "Does news affect disagreement in global markets?," Journal of Business Research, Elsevier, vol. 109(C), pages 174-183.
    • Handle: RePEc:eee:jbrese:v:109:y:2020:i:c:p:174-183
    DOI: 10.1016/j.jbusres.2019.11.082
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0148296319307593
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.jbusres.2019.11.082?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. Hasbrouck, Joel, 1991. "Measuring the Information Content of Stock Trades," Journal of Finance, American Finance Association, vol. 46(1), pages 179-207, March.
    2. Adem Atmaz & Suleyman Basak, 2018. "Belief Dispersion in the Stock Market," Journal of Finance, American Finance Association, vol. 73(3), pages 1225-1279, June.
    3. Thaddeus Neururer & George Papadakis & Edward J. Riedl, 2016. "Tests of investor learning models using earnings innovations and implied volatilities," Review of Accounting Studies, Springer, vol. 21(2), pages 400-437, June.
    4. Chen, Joseph & Hong, Harrison & Stein, Jeremy C., 2002. "Breadth of ownership and stock returns," Journal of Financial Economics, Elsevier, vol. 66(2-3), pages 171-205.
    5. Kent Daniel & David Hirshleifer & Avanidhar Subrahmanyam, 1998. "Investor Psychology and Security Market Under- and Overreactions," Journal of Finance, American Finance Association, vol. 53(6), pages 1839-1885, December.
    6. Michael J. Brennan & Sahn-Wook Huh & Avanidhar Subrahmanyam, 2018. "High-Frequency Measures of Informed Trading and Corporate Announcements," Review of Financial Studies, Society for Financial Studies, vol. 31(6), pages 2326-2376.
    7. Lee, Charles M C & Ready, Mark J, 1991. "Inferring Trade Direction from Intraday Data," Journal of Finance, American Finance Association, vol. 46(2), pages 733-746, June.
    8. Doron Avramov & Tarun Chordia & Amit Goyal, 2006. "The Impact of Trades on Daily Volatility," Review of Financial Studies, Society for Financial Studies, vol. 19(4), pages 1241-1277.
    9. 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.
    10. Zhao, Zhongkuang & Li, Shuqi & Xiong, Heping, 2014. "Short sale constraints, disperse pessimistic beliefs and market efficiency — Evidence from the Chinese stock market," Economic Modelling, Elsevier, vol. 42(C), pages 333-342.
    11. Soeren Hvidkjaer, 2006. "A Trade-Based Analysis of Momentum," Review of Financial Studies, Society for Financial Studies, vol. 19(2), pages 457-491.
    12. Markus Glaser & Martin Weber, 2005. "September 11 and Stock Return Expectations of Individual Investors," Review of Finance, Springer, vol. 9(2), pages 243-279, June.
    13. Jain, Archana & Jain, Pankaj K. & McInish, Thomas H. & McKenzie, Michael, 2013. "Worldwide reach of short selling regulations," Journal of Financial Economics, Elsevier, vol. 109(1), pages 177-197.
    14. Andros Gregoriou & Christos Ioannidis & Len Skerratt, 2005. "Information Asymmetry and the Bid-Ask Spread: Evidence From the UK," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 32(9-10), pages 1801-1826.
    15. Ronnie Sadka & Anna Scherbina, 2007. "Analyst Disagreement, Mispricing, and Liquidity," Journal of Finance, American Finance Association, vol. 62(5), pages 2367-2403, October.
    16. Péter Kondor, 2012. "The More We Know about the Fundamental, the Less We Agree on the Price," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 79(3), pages 1175-1207.
    17. Jung, Chan Shik & Lee, Dong Wook & Park, Kyung Suh, 2009. "Can investor heterogeneity be used to explain the cross-section of average stock returns in emerging markets?," Journal of International Money and Finance, Elsevier, vol. 28(4), pages 648-670, June.
    18. Berkman, Henk & Dimitrov, Valentin & Jain, Prem C. & Koch, Paul D. & Tice, Sheri, 2009. "Sell on the news: Differences of opinion, short-sales constraints, and returns around earnings announcements," Journal of Financial Economics, Elsevier, vol. 92(3), pages 376-399, June.
    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. Snehal Banerjee & Ilan Kremer, 2010. "Disagreement and Learning: Dynamic Patterns of Trade," Journal of Finance, American Finance Association, vol. 65(4), pages 1269-1302, August.
    21. Gharghori, Philip & See, Quin & Veeraraghavan, Madhu, 2011. "Difference of opinion and the cross-section of equity returns: Australian evidence," Pacific-Basin Finance Journal, Elsevier, vol. 19(4), pages 435-446, September.
    22. 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.
    23. Ekkehart Boehmer & Juan (Julie) Wu, 2013. "Short Selling and the Price Discovery Process," Review of Financial Studies, Society for Financial Studies, vol. 26(2), pages 287-322.
    24. Veronesi, Pietro, 1999. "Stock Market Overreaction to Bad News in Good Times: A Rational Expectations Equilibrium Model," Review of Financial Studies, Society for Financial Studies, vol. 12(5), pages 975-1007.
    25. Harrison Hong & Jeremy C. Stein, 2007. "Disagreement and the Stock Market," Journal of Economic Perspectives, American Economic Association, vol. 21(2), pages 109-128, Spring.
    26. Miller, Edward M, 1977. "Risk, Uncertainty, and Divergence of Opinion," Journal of Finance, American Finance Association, vol. 32(4), pages 1151-1168, September.
    27. 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.
    28. Dale Griffin & Omrane Guedhami & Chuck C Y Kwok & Kai Li & Liang Shao, 2017. "National culture: The missing country-level determinant of corporate governance," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 48(6), pages 740-762, August.
    29. Jiang, Hao & Sun, Zheng, 2014. "Dispersion in beliefs among active mutual funds and the cross-section of stock returns," Journal of Financial Economics, Elsevier, vol. 114(2), pages 341-365.
    30. Verardo, Michela, 2009. "Heterogeneous Beliefs and Momentum Profits," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 44(4), pages 795-822, August.
    31. Andros Gregoriou & Christos Ioannidis & Len Skerratt, 2005. "Information Asymmetry and the Bid‐Ask Spread: Evidence From the UK," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 32(9‐10), pages 1801-1826, November.
    32. Barry, Christopher B. & Brown, Stephen J., 1985. "Differential Information and Security Market Equilibrium," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 20(4), pages 407-422, December.
    33. Avramov, Doron & Chordia, Tarun & Jostova, Gergana & Philipov, Alexander, 2009. "Dispersion in analysts' earnings forecasts and credit rating," Journal of Financial Economics, Elsevier, vol. 91(1), pages 83-101, January.
    34. Snehal Banerjee, 2011. "Learning from Prices and the Dispersion in Beliefs," Review of Financial Studies, Society for Financial Studies, vol. 24(9), pages 3025-3068.
    35. Easley, David, et al, 1996. "Liquidity, Information, and Infrequently Traded Stocks," Journal of Finance, American Finance Association, vol. 51(4), pages 1405-1436, September.
    36. Jianguo Xu, 2007. "Price Convexity and Skewness," Journal of Finance, American Finance Association, vol. 62(5), pages 2521-2552, October.
    37. Jon A. Garfinkel, 2009. "Measuring Investors' Opinion Divergence," Journal of Accounting Research, Wiley Blackwell, vol. 47(5), pages 1317-1348, December.
    38. Doukas, John A. & Kim, Chansog (Francis) & Pantzalis, Christos, 2006. "Divergence of Opinion and Equity Returns," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 41(3), pages 573-606, September.
    39. Linda Smith Bamber & Orie E. Barron & Douglas E. Stevens, 2011. "Trading Volume Around Earnings Announcements and Other Financial Reports: Theory, Research Design, Empirical Evidence, and Directions for Future Research," Contemporary Accounting Research, John Wiley & Sons, vol. 28(2), pages 431-471, 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. Tao Chen, 2022. "Delayed informed trades and opinion divergence: Evidence from earnings releases," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(4), pages 4556-4574, October.
    2. Zhang, Teng & Xu, Zhiwei, 2023. "The informational feedback effect of stock prices on corporate investments: A comparison of new energy firms and traditional energy firms in China," Energy Economics, Elsevier, vol. 127(PA).

    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. Tao Chen & Andreas Karathanasopoulos, 2022. "Do Heterogeneous Beliefs Matter to Post‐announcement Informed Trading?," Abacus, Accounting Foundation, University of Sydney, vol. 58(4), pages 714-741, December.
    2. Blankespoor, Elizabeth & deHaan, Ed & Marinovic, Iván, 2020. "Disclosure processing costs, investors’ information choice, and equity market outcomes: A review," Journal of Accounting and Economics, Elsevier, vol. 70(2).
    3. Qian, Xiaolin, 2014. "Small investor sentiment, differences of opinion and stock overvaluation," Journal of Financial Markets, Elsevier, vol. 19(C), pages 219-246.
    4. Hirota, Shinichi, 2023. "Money supply, opinion dispersion, and stock prices," Journal of Economic Behavior & Organization, Elsevier, vol. 212(C), pages 1286-1310.
    5. Al-Nasseri, Alya & Menla Ali, Faek, 2018. "What does investors' online divergence of opinion tell us about stock returns and trading volume?," Journal of Business Research, Elsevier, vol. 86(C), pages 166-178.
    6. Adem Atmaz & Suleyman Basak, 2018. "Belief Dispersion in the Stock Market," Journal of Finance, American Finance Association, vol. 73(3), pages 1225-1279, June.
    7. Paul Fischer & Chongho Kim & Frank Zhou, 2022. "Disagreement about fundamentals: measurement and consequences," Review of Accounting Studies, Springer, vol. 27(4), pages 1423-1456, December.
    8. Andreou, Panayiotis C. & Kagkadis, Anastasios & Philip, Dennis & Tuneshev, Ruslan, 2018. "Differences in options investors’ expectations and the cross-section of stock returns," Journal of Banking & Finance, Elsevier, vol. 94(C), pages 315-336.
    9. Tao Chen, 2022. "Delayed informed trades and opinion divergence: Evidence from earnings releases," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(4), pages 4556-4574, October.
    10. Chen, Tao, 2021. "Informed trading and earnings announcement driven disagreement in global markets," Journal of International Accounting, Auditing and Taxation, Elsevier, vol. 43(C).
    11. Han, Yufeng & Huang, Dashan & Huang, Dayong & Zhou, Guofu, 2022. "Expected return, volume, and mispricing," Journal of Financial Economics, Elsevier, vol. 143(3), pages 1295-1315.
    12. Yen‐Cheng Chang & Pei‐Jie Hsiao & Alexander Ljungqvist & Kevin Tseng, 2022. "Testing Disagreement Models," Journal of Finance, American Finance Association, vol. 77(4), pages 2239-2285, August.
    13. Zhang, Chris H. & Kalev, Petko S., 2021. "How noise trading affects informational efficiency: Evidence from an order-driven market," Pacific-Basin Finance Journal, Elsevier, vol. 68(C).
    14. Armstrong, Will J. & Cardella, Laura & Sabah, Nasim, 2021. "Information shocks, disagreement, and drift," Journal of Financial Economics, Elsevier, vol. 140(3), pages 916-940.
    15. Hillert, Alexander & Jacobs, Heiko & Müller, Sebastian, 2018. "Journalist disagreement," Journal of Financial Markets, Elsevier, vol. 41(C), pages 57-76.
    16. Li, Yan & Liang, Chao & Huynh, Toan L.D. & He, Qiubei, 2022. "Price reversal and heterogeneous belief," International Review of Economics & Finance, Elsevier, vol. 82(C), pages 104-119.
    17. Caglayan, Mustafa & Pham, Tho & Talavera, Oleksandr & Xiong, Xiong, 2020. "Asset mispricing in peer-to-peer loan secondary markets," Journal of Corporate Finance, Elsevier, vol. 65(C).
    18. Huang, Dashan & Li, Jiangyuan & Wang, Liyao, 2021. "Are disagreements agreeable? Evidence from information aggregation," Journal of Financial Economics, Elsevier, vol. 141(1), pages 83-101.
    19. Giannini, Robert & Irvine, Paul & Shu, Tao, 2019. "The convergence and divergence of investors' opinions around earnings news: Evidence from a social network," Journal of Financial Markets, Elsevier, vol. 42(C), pages 94-120.
    20. Muñoz, Francisco, 2013. "Liquidity and firm investment: Evidence for Latin America," Journal of Empirical Finance, Elsevier, vol. 20(C), pages 18-29.

    More about this item

    Keywords

    Disagreement; Information; Asymmetric response; Global markets;
    All these keywords.

    JEL classification:

    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • 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

    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:jbrese:v:109:y:2020:i:c:p:174-183. 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/jbusres .

    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.