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The role of option‐based information on StockTwits, options trading volume, and stock returns

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  • Zin Yau Heng
  • Henry Leung

Abstract

We examine the relations between activities of multiple information channels for stocks simultaneously covered on the StockTwits social media platform, the options market, and the stock market. First, we show that, for our focal firms, net trade options volume ratio from the options market is positively and significantly related to the bullish sentiment of posts on StockTwits. Second, we find that net trade options volume ratio and bullish posts are positively and significantly related to stock returns. Third, we show that higher agreement amongst the sentiment of posts on StockTwits and net trade options volume ratio for options that are deeply out‐of‐the‐money (high leverage) both predict future stock returns for up to 20 days. This finding is consistent with the explanation that informed investors have an affinity to trade deeply levered options to maximize their returns at the lowest cost.

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  • Zin Yau Heng & Henry Leung, 2023. "The role of option‐based information on StockTwits, options trading volume, and stock returns," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 43(8), pages 1091-1125, August.
    • Handle: RePEc:wly:jfutmk:v:43:y:2023:i:8:p:1091-1125
    DOI: 10.1002/fut.22399
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    1. Patricia M. Dechow & Amy P. Hutton & Richard G. Sloan, 2000. "The Relation between Analysts' Forecasts of Long†Term Earnings Growth and Stock Price Performance Following Equity Offerings," Contemporary Accounting Research, John Wiley & Sons, vol. 17(1), pages 1-32, March.
    2. Doojin Ryu & Jinyoung Yu, 2021. "Informed options trading around holidays," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 41(5), pages 658-685, May.
    3. Chan, Konan & Ge, Li & Lin, Tse-Chun, 2015. "Informational Content of Options Trading on Acquirer Announcement Return," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 50(5), pages 1057-1082, October.
    4. Renault, Thomas, 2017. "Intraday online investor sentiment and return patterns in the U.S. stock market," Journal of Banking & Finance, Elsevier, vol. 84(C), pages 25-40.
    5. Kalok Chan & Y. Peter Chung & Wai-Ming Fong, 2002. "The Informational Role of Stock and Option Volume," The Review of Financial Studies, Society for Financial Studies, vol. 15(4), pages 1049-1075.
    6. Thomas Renault, 2017. "Intraday online investor sentiment and return patterns in the U.S. stock market," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-03205113, HAL.
    7. Jun Pan & Allen M. Poteshman, 2006. "The Information in Option Volume for Future Stock Prices," The Review of Financial Studies, Society for Financial Studies, vol. 19(3), pages 871-908.
    8. Hendershott, Terrence & Livdan, Dmitry & Schürhoff, Norman, 2015. "Are institutions informed about news?," Journal of Financial Economics, Elsevier, vol. 117(2), pages 249-287.
    9. Jeremy C. Stein, 2008. "Conversations among Competitors," American Economic Review, American Economic Association, vol. 98(5), pages 2150-2162, December.
    10. Leung, Henry & Ton, Thai, 2015. "The impact of internet stock message boards on cross-sectional returns of small-capitalization stocks," Journal of Banking & Finance, Elsevier, vol. 55(C), pages 37-55.
    11. Michaely, Roni & Womack, Kent L, 1999. "Conflict of Interest and the Credibility of Underwriter Analyst Recommendations," The Review of Financial Studies, Society for Financial Studies, vol. 12(4), pages 653-686.
    12. Daniel Schmidt & Itay Goldstein, 2020. "Stock Market Rumors and Credibility," The Review of Financial Studies, Society for Financial Studies, vol. 33(8), pages 3804-3853.
    13. Kyle, Albert S, 1985. "Continuous Auctions and Insider Trading," Econometrica, Econometric Society, vol. 53(6), pages 1315-1335, November.
    14. Alex Frino & Caihong Xu & Z. Ivy Zhou, 2022. "Are option traders more informed than Twitter users? A PVAR analysis," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 42(9), pages 1755-1771, September.
    15. John M. Griffin & Dragon Yongjun Tang, 2012. "Did Subjectivity Play a Role in CDO Credit Ratings?," Journal of Finance, American Finance Association, vol. 67(4), pages 1293-1328, August.
    16. George J. Jiang & Guanzhong Pan, 2022. "Speculation or hedging?—Options trading prior to FOMC announcements," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 42(2), pages 212-230, February.
    17. repec:bla:jfinan:v:59:y:2004:i:3:p:1235-1258 is not listed on IDEAS
    18. Kelley Bergsma & Vivien Csapi & Dean Diavatopoulos & Andy Fodor, 2020. "Show me the money: Option moneyness concentration and future stock returns," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 40(5), pages 761-775, May.
    19. Gan, Baoqing & Alexeev, Vitali & Bird, Ron & Yeung, Danny, 2020. "Sensitivity to sentiment: News vs social media," International Review of Financial Analysis, Elsevier, vol. 67(C).
    20. Anat R. Admati, Paul Pfleiderer, 1988. "A Theory of Intraday Patterns: Volume and Price Variability," The Review of Financial Studies, Society for Financial Studies, vol. 1(1), pages 3-40.
    21. Hasbrouck, Joel, 1995. "One Security, Many Markets: Determining the Contributions to Price Discovery," Journal of Finance, American Finance Association, vol. 50(4), pages 1175-1199, September.
    22. 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.
    23. Stephan, Jens A & Whaley, Robert E, 1990. "Intraday Price Change and Trading Volume Relations in the Stock and Stock Option Markets," Journal of Finance, American Finance Association, vol. 45(1), pages 191-220, March.
    24. 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.
    25. repec:bla:jfinan:v:59:y:2004:i:3:p:1259-1294 is not listed on IDEAS
    26. Manela, Asaf, 2014. "The value of diffusing information," Journal of Financial Economics, Elsevier, vol. 111(1), pages 181-199.
    27. J. Anthony Cookson & Marina Niessner, 2020. "Why Don't We Agree? Evidence from a Social Network of Investors," Journal of Finance, American Finance Association, vol. 75(1), pages 173-228, February.
    28. Rajesh K. Aggarwal & Guojun Wu, 2006. "Stock Market Manipulations," The Journal of Business, University of Chicago Press, vol. 79(4), pages 1915-1954, July.
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    1. Wen Long & Man Guo, 2025. "Social media and capital markets: an interdisciplinary bibliometric analysis," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 11(1), pages 1-32, December.

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