IDEAS home Printed from https://ideas.repec.org/a/eee/riibaf/v59y2022ics0275531921001434.html
   My bibliography  Save this article

Information demand and net selling around earnings announcement

Author

Listed:
  • Chu, Gang
  • Li, Xiao
  • Zhang, Yongjie

Abstract

Previous literature has shown the effectiveness of information dissemination channels on reducing information asymmetry from the supply-side. This paper mainly focuses on investigating the effects of information diffusion from the demand-side, i.e., investors’ voluntary demand for firm-specific information proxied by Baidu Search Volume Index. By taking the earnings announcement as an example for information asymmetry, we observe a net-selling behavior for investors during the pre-announcement periods that are closely related to changes of returns around the earnings announcements. More importantly, our empirical tests prove that the increased investors’ information demands help to alleviate the net-selling phenomenon as well as its further effects on earnings announcements returns that are resulted from the high information asymmetry during pre-announcement periods. In that sense, we conclude that investors’ information demand contributes to reducing information asymmetry by incorporating information into stock prices.

Suggested Citation

  • Chu, Gang & Li, Xiao & Zhang, Yongjie, 2022. "Information demand and net selling around earnings announcement," Research in International Business and Finance, Elsevier, vol. 59(C).
    • Handle: RePEc:eee:riibaf:v:59:y:2022:i:c:s0275531921001434
    DOI: 10.1016/j.ribaf.2021.101522
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0275531921001434
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.ribaf.2021.101522?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. Karl B. Diether & Christopher J. Malloy & Anna Scherbina, 2002. "Differences of Opinion and the Cross Section of Stock Returns," Journal of Finance, American Finance Association, vol. 57(5), pages 2113-2141, October.
    2. Foster, F Douglas & Viswanathan, S, 1990. "A Theory of the Interday Variations in Volume, Variance, and Trading Costs in Securities Markets," Review of Financial Studies, Society for Financial Studies, vol. 3(4), pages 593-624.
    3. Joon Chae, 2005. "Trading Volume, Information Asymmetry, and Timing Information," Journal of Finance, American Finance Association, vol. 60(1), pages 413-442, February.
    4. Li, Xiao & Shen, Dehua & Zhang, Wei, 2018. "Do Chinese internet stock message boards convey firm-specific information?," Pacific-Basin Finance Journal, Elsevier, vol. 49(C), pages 1-14.
    5. Sanjiv R. Das & Mike Y. Chen, 2007. "Yahoo! for Amazon: Sentiment Extraction from Small Talk on the Web," Management Science, INFORMS, vol. 53(9), pages 1375-1388, September.
    6. Levi, Shai & Zhang, Xiao-Jun, 2015. "Asymmetric decrease in liquidity trading before earnings announcements and the announcement return premium," Journal of Financial Economics, Elsevier, vol. 118(2), pages 383-398.
    7. Jin, Li & Myers, Stewart C., 2006. "R2 around the world: New theory and new tests," Journal of Financial Economics, Elsevier, vol. 79(2), pages 257-292, February.
    8. Baker, Malcolm & Stein, Jeremy C., 2004. "Market liquidity as a sentiment indicator," Journal of Financial Markets, Elsevier, vol. 7(3), pages 271-299, June.
    9. Keim, Donald B. & Madhavan, Ananth, 1995. "Anatomy of the trading process Empirical evidence on the behavior of institutional traders," Journal of Financial Economics, Elsevier, vol. 37(3), pages 371-398, March.
    10. Andrew J. Patton & Michela Verardo, 2012. "Does Beta Move with News? Firm-Specific Information Flows and Learning about Profitability," Review of Financial Studies, Society for Financial Studies, vol. 25(9), pages 2789-2839.
    11. Bagnoli, Mark & Beneish, Messod D. & Watts, Susan G., 1999. "Whisper forecasts of quarterly earnings per share," Journal of Accounting and Economics, Elsevier, vol. 28(1), pages 27-50, November.
    12. Jianping Mei & Jose A. Scheinkman & Wei Xiong, 2009. "Speculative Trading and Stock Prices: Evidence from Chinese A-B Share Premia," Annals of Economics and Finance, Society for AEF, vol. 10(2), pages 225-255, November.
    13. Zhang, Wei & Shen, Dehua & Zhang, Yongjie & Xiong, Xiong, 2013. "Open source information, investor attention, and asset pricing," Economic Modelling, Elsevier, vol. 33(C), pages 613-619.
    14. Milgrom, Paul & Stokey, Nancy, 1982. "Information, trade and common knowledge," Journal of Economic Theory, Elsevier, vol. 26(1), pages 17-27, February.
    15. Chordia, Tarun & Shivakumar, Lakshmanan, 2006. "Earnings and price momentum," Journal of Financial Economics, Elsevier, vol. 80(3), pages 627-656, June.
    16. 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.
    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. McNichols, Maureen & Trueman, Brett, 1994. "Public disclosure, private information collection, and short-term trading," Journal of Accounting and Economics, Elsevier, vol. 17(1-2), pages 69-94, January.
    19. Cohen, Daniel A. & Dey, Aiyesha & Lys, Thomas Z. & Sunder, Shyam V., 2007. "Earnings announcement premia and the limits to arbitrage," Journal of Accounting and Economics, Elsevier, vol. 43(2-3), pages 153-180, July.
    20. Li, Yue & Goodell, John W. & Shen, Dehua, 2021. "Comparing search-engine and social-media attentions in finance research: Evidence from cryptocurrencies," International Review of Economics & Finance, Elsevier, vol. 75(C), pages 723-746.
    21. Kraus, Alan & Stoll, Hans R, 1972. "Price Impacts of Block Trading on the New York Stock Exchange," Journal of Finance, American Finance Association, vol. 27(3), pages 569-588, June.
    22. Chan, Louis K. C. & Lakonishok, Josef, 1993. "Institutional trades and intraday stock price behavior," Journal of Financial Economics, Elsevier, vol. 33(2), pages 173-199, April.
    23. Zhang, Wei & Li, Xiao & Shen, Dehua & Teglio, Andrea, 2016. "R2 and idiosyncratic volatility: Which captures the firm-specific return variation?," Economic Modelling, Elsevier, vol. 55(C), pages 298-304.
    24. Campbell, John Y. & Ramadorai, Tarun & Schwartz, Allie, 2009. "Caught on tape: Institutional trading, stock returns, and earnings announcements," Journal of Financial Economics, Elsevier, vol. 92(1), pages 66-91, April.
    25. Chan, Louis K C & Jegadeesh, Narasimhan & Lakonishok, Josef, 1996. "Momentum Strategies," Journal of Finance, American Finance Association, vol. 51(5), pages 1681-1713, December.
    26. David Hirshleifer & Sonya Seongyeon Lim & Siew Hong Teoh, 2009. "Driven to Distraction: Extraneous Events and Underreaction to Earnings News," Journal of Finance, American Finance Association, vol. 64(5), pages 2289-2325, October.
    27. 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.
    28. Zhi Da & Joseph Engelberg & Pengjie Gao, 2011. "In Search of Attention," Journal of Finance, American Finance Association, vol. 66(5), pages 1461-1499, October.
    29. Diamond, Douglas W, 1985. "Optimal Release of Information by Firms," Journal of Finance, American Finance Association, vol. 40(4), pages 1071-1094, September.
    30. Brad M. Barber & Terrance Odean, 2000. "Trading Is Hazardous to Your Wealth: The Common Stock Investment Performance of Individual Investors," Journal of Finance, American Finance Association, vol. 55(2), pages 773-806, April.
    31. Lee, Dong Wook & Liu, Mark H., 2011. "Does more information in stock price lead to greater or smaller idiosyncratic return volatility?," Journal of Banking & Finance, Elsevier, vol. 35(6), pages 1563-1580, June.
    32. Hong, Harrison & Yu, Jialin, 2009. "Gone fishin': Seasonality in trading activity and asset prices," Journal of Financial Markets, Elsevier, vol. 12(4), pages 672-702, November.
    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. Brad M. Barber & Terrance Odean, 2008. "All That Glitters: The Effect of Attention and News on the Buying Behavior of Individual and Institutional Investors," Review of Financial Studies, Society for Financial Studies, vol. 21(2), pages 785-818, April.
    35. Joseph E. Engelberg & Christopher A. Parsons, 2011. "The Causal Impact of Media in Financial Markets," Journal of Finance, American Finance Association, vol. 66(1), pages 67-97, February.
    36. Anat R. Admati, Paul Pfleiderer, 1988. "A Theory of Intraday Patterns: Volume and Price Variability," Review of Financial Studies, Society for Financial Studies, vol. 1(1), pages 3-40.
    37. Jose A. Scheinkman & Wei Xiong, 2003. "Overconfidence and Speculative Bubbles," Journal of Political Economy, University of Chicago Press, vol. 111(6), pages 1183-1219, December.
    38. Barber, Brad M. & De George, Emmanuel T. & Lehavy, Reuven & Trueman, Brett, 2013. "The earnings announcement premium around the globe," Journal of Financial Economics, Elsevier, vol. 108(1), pages 118-138.
    39. Kerry Back & Kevin Crotty & Tao Li, 2018. "Identifying Information Asymmetry in Securities Markets," Review of Financial Studies, Society for Financial Studies, vol. 31(6), pages 2277-2325.
    40. Sanjiv Sabherwal & Salil K. Sarkar & Ying Zhang, 2011. "Do Internet Stock Message Boards Influence Trading? Evidence from Heavily Discussed Stocks with No Fundamental News," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 38(9-10), pages 1209-1237, November.
    41. Chan, Wesley S., 2003. "Stock price reaction to news and no-news: drift and reversal after headlines," Journal of Financial Economics, Elsevier, vol. 70(2), pages 223-260, November.
    42. 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.
    43. Wang, Jiang, 1994. "A Model of Competitive Stock Trading Volume," Journal of Political Economy, University of Chicago Press, vol. 102(1), pages 127-168, February.
    44. Feng, Lei & Seasholes, Mark S., 2008. "Individual investors and gender similarities in an emerging stock market," Pacific-Basin Finance Journal, Elsevier, vol. 16(1-2), pages 44-60, January.
    45. Pavel Savor & Mungo Wilson, 2016. "Earnings Announcements and Systematic Risk," Journal of Finance, American Finance Association, vol. 71(1), pages 83-138, February.
    46. 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.
    47. Owen Lamont & Andrea Frazzini, 2007. "The Earnings Announcement Premium and Trading Volume," NBER Working Papers 13090, National Bureau of Economic Research, Inc.
    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. Zhaobo Zhu & Wenjie Ding & Yi Jin & Dehua Shen, 2023. "Dissecting the Idiosyncratic Volatility Puzzle: A Fundamental Analysis Approach," Post-Print hal-04194180, HAL.
    2. Wang, Yaqi & Wang, Chunfeng & Sensoy, Ahmet & Yao, Shouyu & Cheng, Feiyang, 2022. "Can investors’ informed trading predict cryptocurrency returns? Evidence from machine learning," Research in International Business and Finance, Elsevier, vol. 62(C).

    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. 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).
    2. Levi, Shai & Zhang, Xiao-Jun, 2015. "Asymmetric decrease in liquidity trading before earnings announcements and the announcement return premium," Journal of Financial Economics, Elsevier, vol. 118(2), pages 383-398.
    3. Li, Xiao & Shen, Dehua & Zhang, Wei, 2018. "Do Chinese internet stock message boards convey firm-specific information?," Pacific-Basin Finance Journal, Elsevier, vol. 49(C), pages 1-14.
    4. 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).
    5. Alina Lerman, 2020. "Individual Investors' Attention to Accounting Information: Evidence from Online Financial Communities," Contemporary Accounting Research, John Wiley & Sons, vol. 37(4), pages 2020-2057, December.
    6. Lawrence, Alastair & Ryans, James & Sun, Estelle & Laptev, Nikolay, 2018. "Earnings announcement promotions: A Yahoo Finance field experiment," Journal of Accounting and Economics, Elsevier, vol. 66(2), pages 399-414.
    7. Chu, Gang & Dowling, Michael & Shen, Dehua & Zhang, Yongjie, 2023. "Information demand density matters: Evidence from the post-earnings announcement drift," International Review of Financial Analysis, Elsevier, vol. 86(C).
    8. Aouadi, Amal & Arouri, Mohamed & Roubaud, David, 2018. "Information demand and stock market liquidity: International evidence," Economic Modelling, Elsevier, vol. 70(C), pages 194-202.
    9. Zhang, Yongjie & Song, Weixin & Shen, Dehua & Zhang, Wei, 2016. "Market reaction to internet news: Information diffusion and price pressure," Economic Modelling, Elsevier, vol. 56(C), pages 43-49.
    10. Chapman, Kimball, 2018. "Earnings notifications, investor attention, and the earnings announcement premium," Journal of Accounting and Economics, Elsevier, vol. 66(1), pages 222-243.
    11. Neilson, Jed J., 2022. "Investor information gathering and the resolution of uncertainty," Journal of Accounting and Economics, Elsevier, vol. 74(1).
    12. Jordan Moore, 2020. "Glamour among value: P/E ratios and value investor attention," Financial Management, Financial Management Association International, vol. 49(3), pages 673-706, September.
    13. Agarwal, Shweta & Kumar, Shailendra & Goel, Utkarsh, 2019. "Stock market response to information diffusion through internet sources: A literature review," International Journal of Information Management, Elsevier, vol. 45(C), pages 118-131.
    14. Lof, Matthijs & van Bommel, Jos, 2023. "Asymmetric information and the distribution of trading volume," Journal of Corporate Finance, Elsevier, vol. 82(C).
    15. Danny Lo, 2015. "Essays in Market Microstructure and Investor Trading," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 4-2015.
    16. Aytekin Ertan & Stephen A. Karolyi & Peter W. Kelly & Robert Stoumbos, 2022. "Earnings announcement return extrapolation," Review of Accounting Studies, Springer, vol. 27(1), pages 185-230, March.
    17. Danny Lo, 2015. "Essays in Market Microstructure and Investor Trading," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 22, July-Dece.
    18. Xiong Xiong & Zhang Jin & Feng Xu & Jin Xi, 2016. "Review on Financial Innovations in Big Data Era," Journal of Systems Science and Information, De Gruyter, vol. 4(6), pages 489-504, December.
    19. Tom Marty & Bruce Vanstone & Tobias Hahn, 2020. "News media analytics in finance: a survey," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 60(2), pages 1385-1434, June.
    20. Goodell, John W. & Kumar, Satish & Li, Xiao & Pattnaik, Debidutta & Sharma, Anuj, 2022. "Foundations and research clusters in investor attention: Evidence from bibliometric and topic modelling analysis," International Review of Economics & Finance, Elsevier, vol. 82(C), pages 511-529.

    More about this item

    Keywords

    Information demand; Net selling; Earnings announcement; Firm-specific information; Baidu index;
    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

    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:riibaf:v:59:y:2022:i:c:s0275531921001434. 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/ribaf .

    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.