IDEAS home Printed from https://ideas.repec.org/a/eee/empfin/v72y2023icp510-531.html
   My bibliography  Save this article

Disseminating information across connected firms — Analyst site visits can help

Author

Listed:
  • Cao, Zhengyu
  • Wang, Rundong
  • Xiao, Xinrong
  • Yin, Chengxi

Abstract

When information is disseminated across fundamentally connected firms at a fast pace, limited investor attention should be mitigated. We investigate whether analyst site visits to public firms have any impact on the lead–lag effect, a well-known phenomenon induced by limited investor attention. We find that analyst site visits to a focal firm’s connected firms almost eliminate the lead–lag effect between the visited connected firms and the focal firm at weekly frequency. The Fama–French five-factor alpha drops from 0.365% (t-statistic=3.26) per week for the strategy based on lagged returns of a firm’s non-visited connected firms to -0.082% (t-statistic=-0.97) per week for the strategy based on lagged returns of visited connected firms. We further provide evidence that analyst site visits to connected firms help improve forecast accuracy for the forecasted firm. These results indicate that analyst site visits help disseminate information across connected firms.

Suggested Citation

  • Cao, Zhengyu & Wang, Rundong & Xiao, Xinrong & Yin, Chengxi, 2023. "Disseminating information across connected firms — Analyst site visits can help," Journal of Empirical Finance, Elsevier, vol. 72(C), pages 510-531.
  • Handle: RePEc:eee:empfin:v:72:y:2023:i:c:p:510-531
    DOI: 10.1016/j.jempfin.2023.04.010
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0927539823000440
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.jempfin.2023.04.010?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. Andy C W Chui & Avanidhar Subrahmanyam & Sheridan Titman, 2022. "Momentum, Reversals, and Investor Clientele [Illiquidity and stock returns: Cross-section and time-series effects]," Review of Finance, European Finance Association, vol. 26(2), pages 217-255.
    2. Yi Huang & Marco Pagano & Ugo Panizza, 2020. "Local Crowding‐Out in China," Journal of Finance, American Finance Association, vol. 75(6), pages 2855-2898, December.
    3. Qiang Cheng & Fei Du & Xin Wang & Yutao Wang, 2016. "Seeing is believing: analysts’ corporate site visits," Review of Accounting Studies, Springer, vol. 21(4), pages 1245-1286, December.
    4. Allaudeen Hameed & Randall Morck & Jianfeng Shen & Bernard Yeung, 2015. "Information, Analysts, and Stock Return Comovement," The Review of Financial Studies, Society for Financial Studies, vol. 28(11), pages 3153-3187.
    5. Stijn Van Nieuwerburgh & Laura Veldkamp, 2009. "Information Immobility and the Home Bias Puzzle," Journal of Finance, American Finance Association, vol. 64(3), pages 1187-1215, June.
    6. Lee, Charles M.C. & Sun, Stephen Teng & Wang, Rongfei & Zhang, Ran, 2019. "Technological links and predictable returns," Journal of Financial Economics, Elsevier, vol. 132(3), pages 76-96.
    7. Daniel, Kent, et al, 1997. "Measuring Mutual Fund Performance with Characteristic-Based Benchmarks," Journal of Finance, American Finance Association, vol. 52(3), pages 1035-1058, July.
    8. Chen, Deqiu & Ma, Yujing & Martin, Xiumin & Michaely, Roni, 2022. "On the fast track: Information acquisition costs and information production," Journal of Financial Economics, Elsevier, vol. 143(2), pages 794-823.
    9. Tobias J. Moskowitz & Mark Grinblatt, 1999. "Do Industries Explain Momentum?," Journal of Finance, American Finance Association, vol. 54(4), pages 1249-1290, August.
    10. Jansen, Maarten & Swinkels, Laurens & Zhou, Weili, 2021. "Anomalies in the China A-share market," Pacific-Basin Finance Journal, Elsevier, vol. 68(C).
    11. 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.
    12. Christopher A Parsons & Riccardo Sabbatucci & Sheridan Titman, 2020. "Geographic Lead-Lag Effects," The Review of Financial Studies, Society for Financial Studies, vol. 33(10), pages 4721-4770.
    13. Peng, Lin & Xiong, Wei, 2006. "Investor attention, overconfidence and category learning," Journal of Financial Economics, Elsevier, vol. 80(3), pages 563-602, June.
    14. 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.
    15. Fama, Eugene F. & French, Kenneth R., 2015. "A five-factor asset pricing model," Journal of Financial Economics, Elsevier, vol. 116(1), pages 1-22.
    16. Kewei Hou & Chen Xue & Lu Zhang, 2020. "Replicating Anomalies," The Review of Financial Studies, Society for Financial Studies, vol. 33(5), pages 2019-2133.
    17. Lauren Cohen & Andrea Frazzini, 2008. "Economic Links and Predictable Returns," Journal of Finance, American Finance Association, vol. 63(4), pages 1977-2011, August.
    18. Liu, Jianan & Stambaugh, Robert F. & Yuan, Yu, 2019. "Size and value in China," Journal of Financial Economics, Elsevier, vol. 134(1), pages 48-69.
    19. Frankel, Richard & Kothari, S.P. & Weber, Joseph, 2006. "Determinants of the informativeness of analyst research," Journal of Accounting and Economics, Elsevier, vol. 41(1-2), pages 29-54, April.
    20. 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.
    21. Stefano Dellavigna & Joshua M. Pollet, 2009. "Investor Inattention and Friday Earnings Announcements," Journal of Finance, American Finance Association, vol. 64(2), pages 709-749, April.
    22. 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.
    23. 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.
    24. David Hirshleifer & Sonya S. Lim & Siew Hong Teoh, 2011. "Limited Investor Attention and Stock Market Misreactions to Accounting Information," The Review of Asset Pricing Studies, Society for Financial Studies, vol. 1(1), pages 35-73.
    25. Jegadeesh, Narasimhan & Titman, Sheridan, 1993. "Returns to Buying Winners and Selling Losers: Implications for Stock Market Efficiency," Journal of Finance, American Finance Association, vol. 48(1), pages 65-91, March.
    26. Abarbanell, Jeffery S. & Lanen, William N. & Verrecchia, Robert E., 1995. "Analysts' forecasts as proxies for investor beliefs in empirical research," Journal of Accounting and Economics, Elsevier, vol. 20(1), pages 31-60, July.
    27. Xin Chang & Sudipto Dasgupta & Gilles Hilary, 2006. "Analyst Coverage and Financing Decisions," Journal of Finance, American Finance Association, vol. 61(6), pages 3009-3048, December.
    28. Zhi Da & Umit G. Gurun & Mitch Warachka, 2014. "Frog in the Pan: Continuous Information and Momentum," The Review of Financial Studies, Society for Financial Studies, vol. 27(7), pages 2171-2218.
    29. Carhart, Mark M, 1997. "On Persistence in Mutual Fund Performance," Journal of Finance, American Finance Association, vol. 52(1), pages 57-82, March.
    30. Jegadeesh, Narasimhan, 1990. "Evidence of Predictable Behavior of Security Returns," Journal of Finance, American Finance Association, vol. 45(3), pages 881-898, July.
    31. Joshua Livnat & Richard R. Mendenhall, 2006. "Comparing the Post–Earnings Announcement Drift for Surprises Calculated from Analyst and Time Series Forecasts," Journal of Accounting Research, Wiley Blackwell, vol. 44(1), pages 177-205, March.
    32. He, Jie (Jack) & Tian, Xuan, 2013. "The dark side of analyst coverage: The case of innovation," Journal of Financial Economics, Elsevier, vol. 109(3), pages 856-878.
    33. Agarwal, Sumit & Qian, Wenlan & Seru, Amit & Zhang, Jian, 2020. "Disguised corruption: Evidence from consumer credit in China," Journal of Financial Economics, Elsevier, vol. 137(2), pages 430-450.
    34. Ali, Usman & Hirshleifer, David, 2020. "Shared analyst coverage: Unifying momentum spillover effects," Journal of Financial Economics, Elsevier, vol. 136(3), pages 649-675.
    35. 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.
    36. Lee, Charles M.C. & So, Eric C., 2017. "Uncovering expected returns: Information in analyst coverage proxies," Journal of Financial Economics, Elsevier, vol. 124(2), pages 331-348.
    37. Loughran, Tim, 2007. "Geographic dissemination of information," Journal of Corporate Finance, Elsevier, vol. 13(5), pages 675-694, December.
    38. Yu, Fang (Frank), 2008. "Analyst coverage and earnings management," Journal of Financial Economics, Elsevier, vol. 88(2), pages 245-271, May.
    Full references (including those not matched with items on IDEAS)

    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. Chen, Zilin & Chu, Liya & Liang, Dawei & Tu, Jun, 2022. "Far away from home: Investors’ underreaction to geographically dispersed information," Journal of Economic Dynamics and Control, Elsevier, vol. 136(C).
    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. 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.
    4. Lee, Charles M.C. & Sun, Stephen Teng & Wang, Rongfei & Zhang, Ran, 2019. "Technological links and predictable returns," Journal of Financial Economics, Elsevier, vol. 132(3), pages 76-96.
    5. Bozok, İhsan & Özyıldırım, Süheyla, 2022. "Firm centrality and limited attention," International Review of Economics & Finance, Elsevier, vol. 78(C), pages 483-500.
    6. Ahmad, Fawad & Oriani, Raffaele, 2022. "Investor attention, information acquisition, and value premium: A mispricing perspective," International Review of Financial Analysis, Elsevier, vol. 79(C).
    7. Wu, Yuliang & Mazouz, Khelifa, 2016. "Long-term industry reversals," Journal of Banking & Finance, Elsevier, vol. 68(C), pages 236-250.
    8. Huang, Shiyang & Lin, Tse-Chun & Xiang, Hong, 2021. "Psychological barrier and cross-firm return predictability," Journal of Financial Economics, Elsevier, vol. 142(1), pages 338-356.
    9. Atilgan, Yigit & Bali, Turan G. & Demirtas, K. Ozgur & Gunaydin, A. Doruk, 2020. "Left-tail momentum: Underreaction to bad news, costly arbitrage and equity returns," Journal of Financial Economics, Elsevier, vol. 135(3), pages 725-753.
    10. Yu, Miao & Hu, Xiaolu & Zhong, Angel, 2023. "Trade links and return predictability: The Australian evidence," Pacific-Basin Finance Journal, Elsevier, vol. 78(C).
    11. Adam Zaremba & Jacob Koby Shemer, 2018. "Price-Based Investment Strategies," Springer Books, Springer, number 978-3-319-91530-2, September.
    12. Yan, Jingda & Yu, Jialin, 2023. "Cross-stock momentum and factor momentum," Journal of Financial Economics, Elsevier, vol. 150(2).
    13. Jansen, Maarten & Swinkels, Laurens & Zhou, Weili, 2021. "Anomalies in the China A-share market," Pacific-Basin Finance Journal, Elsevier, vol. 68(C).
    14. Chen, Zilin & Guo, Li & Tu, Jun, 2021. "Media connection and return comovement," Journal of Economic Dynamics and Control, Elsevier, vol. 130(C).
    15. Dong, Dayong & Wu, Keke & Fang, Jianchun & Gozgor, Giray & Yan, Cheng, 2022. "Investor attention factors and stock returns: Evidence from China," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 77(C).
    16. Cosemans, Mathijs & Frehen, Rik, 2021. "Salience theory and stock prices: Empirical evidence," Journal of Financial Economics, Elsevier, vol. 140(2), pages 460-483.
    17. Jiang, George J. & Zhu, Kevin X., 2017. "Information Shocks and Short-Term Market Underreaction," Journal of Financial Economics, Elsevier, vol. 124(1), pages 43-64.
    18. Andy C W Chui & Avanidhar Subrahmanyam & Sheridan Titman, 2022. "Momentum, Reversals, and Investor Clientele [Illiquidity and stock returns: Cross-section and time-series effects]," Review of Finance, European Finance Association, vol. 26(2), pages 217-255.
    19. Hollstein, Fabian, 2022. "The world of anomalies: Smaller than we think?," Journal of International Money and Finance, Elsevier, vol. 129(C).
    20. Huang, Tao & Zhang, Xueyong, 2022. "Industry-level media tone and the cross-section of stock returns," International Review of Economics & Finance, Elsevier, vol. 77(C), pages 59-77.

    More about this item

    Keywords

    Limited attention; Lead–lag effect; Shared analyst coverage; Analyst site visits;
    All these keywords.

    JEL classification:

    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • 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
    • G24 - Financial Economics - - Financial Institutions and Services - - - Investment Banking; Venture Capital; Brokerage

    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:empfin:v:72:y:2023:i:c:p:510-531. 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/jempfin .

    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.