IDEAS home Printed from https://ideas.repec.org/a/inm/ormnsc/v63y2017i5p1382-1404.html
   My bibliography  Save this article

Does Information Intensity Matter for Stock Returns? Evidence from Form 8-K Filings

Author

Listed:
  • Xiaofei Zhao

    (Jindal School of Management, University of Texas at Dallas, Richardson, Texas 75080)

Abstract

This paper identifies an important source of variation in U.S. firms’ material information flows: their Form 8-K filing frequency. Exploiting cross-sectional variation in this novel proxy for information intensity, this paper finds that firms with higher information intensity experience lower future returns and lower future volatilities. The marginal return impact is higher at low levels of information intensity and high levels of prior volatility. On average, an information-intensity-based long-short portfolio generates a return spread of 4.3% per year. After adjusting for the Fama–French three factors and the momentum factor, the abnormal return remains 4.4% per year. These novel findings suggest that, because of the dynamic nature of information arrival, the frequency/quantity of information is an important source affecting the information environment and stock returns of public companies. These findings are consistent with the predictions of a broad class of noisy rational expectations equilibrium models and estimation risk models, and they highlight the importance of learning in financial markets with incomplete information.

Suggested Citation

  • Xiaofei Zhao, 2017. "Does Information Intensity Matter for Stock Returns? Evidence from Form 8-K Filings," Management Science, INFORMS, vol. 63(5), pages 1382-1404, May.
  • Handle: RePEc:inm:ormnsc:v:63:y:2017:i:5:p:1382-1404
    DOI: 10.1287/mnsc.2015.2408
    as

    Download full text from publisher

    File URL: https://doi.org/10.1287/mnsc.2015.2408
    Download Restriction: no

    File URL: https://libkey.io/10.1287/mnsc.2015.2408?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
    ---><---

    References listed on IDEAS

    as
    1. Berry, Thomas D & Howe, Keith M, 1994. "Public Information Arrival," Journal of Finance, American Finance Association, vol. 49(4), pages 1331-1346, September.
    2. John Y. Campbell & Martin Lettau & Burton G. Malkiel & Yexiao Xu, 2001. "Have Individual Stocks Become More Volatile? An Empirical Exploration of Idiosyncratic Risk," Journal of Finance, American Finance Association, vol. 56(1), pages 1-43, February.
    3. Duarte, Jefferson & Young, Lance, 2009. "Why is PIN priced?," Journal of Financial Economics, Elsevier, vol. 91(2), pages 119-138, February.
    4. Joel Peress, 2014. "The Media and the Diffusion of Information in Financial Markets: Evidence from Newspaper Strikes," Journal of Finance, American Finance Association, vol. 69(5), pages 2007-2043, October.
    5. X. Frank Zhang, 2006. "Information Uncertainty and Stock Returns," Journal of Finance, American Finance Association, vol. 61(1), pages 105-137, February.
    6. Nelson, Daniel B, 1991. "Conditional Heteroskedasticity in Asset Returns: A New Approach," Econometrica, Econometric Society, vol. 59(2), pages 347-370, March.
    7. Lee, Charles M C & Mucklow, Belinda & Ready, Mark J, 1993. "Spreads, Depths, and the Impact of Earnings Information: An Intraday Analysis," The Review of Financial Studies, Society for Financial Studies, vol. 6(2), pages 345-374.
    8. Leftwich, Rw & Watts, Rl & Zimmerman, Jl, 1981. "Voluntary Corporate Disclosure - The Case Of Interim Reporting," Journal of Accounting Research, Wiley Blackwell, vol. 19, pages 50-77.
    9. Grossman, Sanford J & Stiglitz, Joseph E, 1980. "On the Impossibility of Informationally Efficient Markets," American Economic Review, American Economic Association, vol. 70(3), pages 393-408, June.
    10. Engelberg, Joseph E. & Reed, Adam V. & Ringgenberg, Matthew C., 2012. "How are shorts informed?," Journal of Financial Economics, Elsevier, vol. 105(2), pages 260-278.
    11. Eugene F. Fama & Kenneth R. French, 2008. "Dissecting Anomalies," Journal of Finance, American Finance Association, vol. 63(4), pages 1653-1678, August.
    12. Mohanram, Partha & Rajgopal, Shiva, 2009. "Is PIN priced risk?," Journal of Accounting and Economics, Elsevier, vol. 47(3), pages 226-243, June.
    13. Bryan Kelly & Alexander Ljungqvist, 2012. "Testing Asymmetric-Information Asset Pricing Models," The Review of Financial Studies, Society for Financial Studies, vol. 25(5), pages 1366-1413.
    14. Mitchell, Mark L & Mulherin, J Harold, 1994. "The Impact of Public Information on the Stock Market," Journal of Finance, American Finance Association, vol. 49(3), pages 923-950, July.
    15. Carhart, Mark M, 1997. "On Persistence in Mutual Fund Performance," Journal of Finance, American Finance Association, vol. 52(1), pages 57-82, March.
    16. Steven X. Wei & Chu Zhang, 2006. "Why Did Individual Stocks Become More Volatile?," The Journal of Business, University of Chicago Press, vol. 79(1), pages 259-292, January.
    17. Easley, David & O'Hara, Maureen & Saar, Gideon, 2001. "How Stock Splits Affect Trading: A Microstructure Approach," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 36(1), pages 25-51, March.
    18. Barry, Christopher B. & Brown, Stephen J., 1984. "Differential information and the small firm effect," Journal of Financial Economics, Elsevier, vol. 13(2), pages 283-294, June.
    19. Laura L. Veldkamp, 2006. "Media Frenzies in Markets for Financial Information," American Economic Review, American Economic Association, vol. 96(3), pages 577-601, June.
    20. Michael J. Cooper & Huseyin Gulen & Michael J. Schill, 2008. "Asset Growth and the Cross‐Section of Stock Returns," Journal of Finance, American Finance Association, vol. 63(4), pages 1609-1651, August.
    21. 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.
    22. Lauren Cohen & Christopher Malloy & Lukasz Pomorski, 2012. "Decoding Inside Information," Journal of Finance, American Finance Association, vol. 67(3), pages 1009-1043, June.
    23. Paul C. Tetlock, 2010. "Does Public Financial News Resolve Asymmetric Information?," The Review of Financial Studies, Society for Financial Studies, vol. 23(9), pages 3520-3557.
    24. Ron Kaniel & Shuming Liu & Gideon Saar & Sheridan Titman, 2012. "Individual Investor Trading and Return Patterns around Earnings Announcements," Journal of Finance, American Finance Association, vol. 67(2), pages 639-680, April.
    25. Paul C. Tetlock & Maytal Saar‐Tsechansky & Sofus Macskassy, 2008. "More Than Words: Quantifying Language to Measure Firms' Fundamentals," Journal of Finance, American Finance Association, vol. 63(3), pages 1437-1467, June.
    26. Butler, Marty & Kraft, Arthur & Weiss, Ira S., 2007. "The effect of reporting frequency on the timeliness of earnings: The cases of voluntary and mandatory interim reports," Journal of Accounting and Economics, Elsevier, vol. 43(2-3), pages 181-217, July.
    27. Fu, Renhui & Kraft, Arthur & Zhang, Huai, 2012. "Financial reporting frequency, information asymmetry, and the cost of equity," Journal of Accounting and Economics, Elsevier, vol. 54(2), pages 132-149.
    28. McNichols, Maureen & Manegold, James G., 1983. "The effect of the information environment on the relationship between financial disclosure and security price variability," Journal of Accounting and Economics, Elsevier, vol. 5(1), pages 49-74, April.
    29. 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.
    30. Chen, Changling & Huang, Alan Guoming & Jha, Ranjini, 2012. "Idiosyncratic Return Volatility and the Information Quality Underlying Managerial Discretion," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 47(4), pages 873-899, August.
    31. 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.
    32. Ball, R & Brown, P, 1968. "Empirical Evaluation Of Accounting Income Numbers," Journal of Accounting Research, Wiley Blackwell, vol. 6(2), pages 159-178.
    33. 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.
    34. Newey, Whitney & West, Kenneth, 2014. "A simple, positive semi-definite, heteroscedasticity and autocorrelation consistent covariance matrix," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 33(1), pages 125-132.
    35. Michael W. Brandt & Alon Brav & John R. Graham & Alok Kumar, 2010. "The Idiosyncratic Volatility Puzzle: Time Trend or Speculative Episodes?," The Review of Financial Studies, Society for Financial Studies, vol. 23(2), pages 863-899, February.
    36. Bodnaruk, Andriy & Ostberg, Per, 2009. "Does investor recognition predict returns?," Journal of Financial Economics, Elsevier, vol. 91(2), pages 208-226, February.
    37. Suzanne S. Lee & Per A. Mykland, 2008. "Jumps in Financial Markets: A New Nonparametric Test and Jump Dynamics," The Review of Financial Studies, Society for Financial Studies, vol. 21(6), pages 2535-2563, November.
    38. Lily Fang & Joel Peress, 2009. "Media Coverage and the Cross‐section of Stock Returns," Journal of Finance, American Finance Association, vol. 64(5), pages 2023-2052, October.
    39. Zhang, Chu, 2010. "A Reexamination of the Causes of Time-Varying Stock Return Volatilities," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 45(3), pages 663-684, June.
    40. Fama, Eugene F & MacBeth, James D, 1973. "Risk, Return, and Equilibrium: Empirical Tests," Journal of Political Economy, University of Chicago Press, vol. 81(3), pages 607-636, May-June.
    41. Christine A. Botosan & Marlene A. Plumlee, 2002. "A Re‐examination of Disclosure Level and the Expected Cost of Equity Capital," Journal of Accounting Research, Wiley Blackwell, vol. 40(1), pages 21-40, March.
    42. Fama, Eugene F. & French, Kenneth R., 2006. "Profitability, investment and average returns," Journal of Financial Economics, Elsevier, vol. 82(3), pages 491-518, December.
    43. Itay Goldstein & Liyan Yang, 2015. "Information Diversity and Complementarities in Trading and Information Acquisition," Journal of Finance, American Finance Association, vol. 70(4), pages 1723-1765, August.
    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. Ryan Flugum & Choonsik Lee & Matthew E. Souther, 2023. "What happens in Vegas stays in Vegas? Firsthand experience and EDGAR search activity in Las Vegas casino hotels," Financial Management, Financial Management Association International, vol. 52(3), pages 409-432, September.
    2. Kumar, Nitish & Mullally, Kevin & Ray, Sugata & Tang, Yuehua, 2020. "Prime (information) brokerage," Journal of Financial Economics, Elsevier, vol. 137(2), pages 371-391.
    3. Ning Jia & Arun Rai & Sean Xin Xu, 2020. "Reducing Capital Market Anomaly: The Role of Information Technology Using an Information Uncertainty Lens," Management Science, INFORMS, vol. 66(2), pages 979-1001, February.
    4. Guragai, Binod, 2022. "Market response to stock exchange listing deficiency notices: Evidence from Nasdaq," Advances in accounting, Elsevier, vol. 59(C).
    5. Wang, Xianjue, 2021. "Disclosure by firms under voting pressure," International Review of Financial Analysis, Elsevier, vol. 78(C).
    6. Gostlow, Glen, 2020. "The materiality and measurement of physical climate risk: evidence from Form 8-K," LSE Research Online Documents on Economics 107045, London School of Economics and Political Science, LSE Library.
    7. Hyunkwon Cho & Robert Kim, 2021. "Asymmetric effects of voluntary disclosure on stock liquidity: evidence from 8‐K filings," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 61(1), pages 803-846, March.
    8. James, Robert & Jarnecic, Elvis & Leung, Henry, 2022. "Who Values Economist Forecasts? Evidence From Trading in Treasury Markets," Journal of Financial Intermediation, Elsevier, vol. 49(C).
    9. Jeon, Yoontae & McCurdy, Thomas H. & Zhao, Xiaofei, 2022. "News as sources of jumps in stock returns: Evidence from 21 million news articles for 9000 companies," Journal of Financial Economics, Elsevier, vol. 145(2), pages 1-17.
    10. Xiao, Yuewen & Zhao, Jing, 2021. "Price dynamics of individual stocks: Jumps and information," Finance Research Letters, Elsevier, vol. 38(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. Karapandza, Rasa, 2016. "Stock returns and future tense language in 10-K reports," Journal of Banking & Finance, Elsevier, vol. 71(C), pages 50-61.
    2. Xin Chen & Wei He & Libin Tao & Jianfeng Yu, 2023. "Attention and Underreaction-Related Anomalies," Management Science, INFORMS, vol. 69(1), pages 636-659, January.
    3. Jang, Jeewon & Kang, Jangkoo, 2019. "Probability of price crashes, rational speculative bubbles, and the cross-section of stock returns," Journal of Financial Economics, Elsevier, vol. 132(1), pages 222-247.
    4. Yang, Yung Chiang & Zhang, Bohui & Zhang, Chu, 2020. "Is information risk priced? Evidence from abnormal idiosyncratic volatility," Journal of Financial Economics, Elsevier, vol. 135(2), pages 528-554.
    5. Liu, Sha & Han, Jingguang, 2020. "Media tone and expected stock returns," International Review of Financial Analysis, Elsevier, vol. 70(C).
    6. Wu, Chen-Hui & Lin, Chan-Jane, 2017. "The impact of media coverage on investor trading behavior and stock returns," Pacific-Basin Finance Journal, Elsevier, vol. 43(C), pages 151-172.
    7. Hollstein, Fabian & Prokopczuk, Marcel & Wese Simen, Chardin, 2020. "Beta uncertainty," Journal of Banking & Finance, Elsevier, vol. 116(C).
    8. Adam Zaremba & Jacob Koby Shemer, 2018. "Price-Based Investment Strategies," Springer Books, Springer, number 978-3-319-91530-2, September.
    9. Amit Goyal, 2012. "Empirical cross-sectional asset pricing: a survey," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 26(1), pages 3-38, March.
    10. Tarun Chordia & Jianfeng Hu & Avanidhar Subrahmanyam & Qing Tong, 2019. "Order Flow Volatility and Equity Costs of Capital," Management Science, INFORMS, vol. 65(4), pages 1520-1551, April.
    11. Zhu, Zhaobo & Sun, Licheng & Yung, Kenneth & Chen, Min, 2020. "Limited investor attention, relative fundamental strength, and the cross-section of stock returns," The British Accounting Review, Elsevier, vol. 52(4).
    12. Thomas J. Chemmanur & An Yan, 2019. "Advertising, Attention, and Stock Returns," Quarterly Journal of Finance (QJF), World Scientific Publishing Co. Pte. Ltd., vol. 9(03), pages 1-51, September.
    13. Lam, F.Y. Eric C. & Wei, K.C. John, 2011. "Limits-to-arbitrage, investment frictions, and the asset growth anomaly," Journal of Financial Economics, Elsevier, vol. 102(1), pages 127-149, October.
    14. Wu, Juan (Julie) & Zhang, Jianzhong (Andrew), 2019. "Short selling and market anomalies," Journal of Financial Markets, Elsevier, vol. 46(C).
    15. Zhong, Angel, 2018. "Idiosyncratic volatility in the Australian equity market," Pacific-Basin Finance Journal, Elsevier, vol. 50(C), pages 105-125.
    16. Kryzanowski, Lawrence & Mohsni, Sana, 2015. "Earnings forecasts and idiosyncratic volatilities," International Review of Financial Analysis, Elsevier, vol. 41(C), pages 107-123.
    17. Boehme, Rodney & Çolak, Gönül, 2012. "Primary market characteristics and secondary market frictions of stocks," Journal of Financial Markets, Elsevier, vol. 15(2), pages 286-327.
    18. 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).
    19. Aslan, Hadiye & Easley, David & Hvidkjaer, Soeren & O'Hara, Maureen, 2011. "The characteristics of informed trading: Implications for asset pricing," Journal of Empirical Finance, Elsevier, vol. 18(5), pages 782-801.
    20. David Hirshleifer & Po-Hsuan Hsu & Dongmei Li, 2018. "Innovative Originality, Profitability, and Stock Returns," The Review of Financial Studies, Society for Financial Studies, vol. 31(7), pages 2553-2605.

    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:inm:ormnsc:v:63:y:2017:i:5:p:1382-1404. 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: Chris Asher (email available below). General contact details of provider: https://edirc.repec.org/data/inforea.html .

    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.