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Common analyst links and predictable returns: Evidence from China

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  • Yi, Biao
  • Guo, Shuxin

Abstract

Based on shared analyst coverage, we are the first to document the common-analyst momentum (CAM) effect in China. Empirically, we show that average returns of common-analyst peer firms have strong predictive power for future focal firm returns. Moreover, the CAM effect is stronger than other cross-asset momentum (XAM) effects. Interestingly but differently, the CAM cannot unify other XAM effects as the U.S. market does. Exploiting the underlying mechanism, we find that common-analyst-connected firms are fundamentally similar. Further, the CAM effect is stronger when inter-firm linkages are stronger when the information processing task is more complex and on earnings announcement dates. We conclude that sluggish analyst forecasting and investors’ attention constraint could contribute to the stronger CAM effect, and our results support the hypothesis that slow information diffusion generates the CAM effect.

Suggested Citation

  • Yi, Biao & Guo, Shuxin, 2022. "Common analyst links and predictable returns: Evidence from China," The North American Journal of Economics and Finance, Elsevier, vol. 63(C).
    • Handle: RePEc:eee:ecofin:v:63:y:2022:i:c:s106294082200167x
    DOI: 10.1016/j.najef.2022.101832
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    as
    1. Liu, Jianan & Stambaugh, Robert F. & Yuan, Yu, 2019. "Size and value in China," Journal of Financial Economics, Elsevier, vol. 134(1), pages 48-69.
    2. Kewei Hou, 2007. "Industry Information Diffusion and the Lead-lag Effect in Stock Returns," The Review of Financial Studies, Society for Financial Studies, vol. 20(4), pages 1113-1138.
    3. Gao, George P. & Moulton, Pamela C. & Ng, David T., 2017. "Institutional ownership and return predictability across economically unrelated stocks," Journal of Financial Intermediation, Elsevier, vol. 31(C), pages 45-63.
    4. Bernard, Vl & Thomas, Jk, 1989. "Post-Earnings-Announcement Drift - Delayed Price Response Or Risk Premium," Journal of Accounting Research, Wiley Blackwell, vol. 27, pages 1-36.
    5. Lior Menzly & Oguzhan Ozbas, 2010. "Market Segmentation and Cross‐predictability of Returns," Journal of Finance, American Finance Association, vol. 65(4), pages 1555-1580, August.
    6. Dongwei Su, 2011. "An Empirical Analysis of Industry Momentum in Chinese Stock Markets," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 47(4), pages 4-27, July.
    7. 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.
    8. Kaustia, Markku & Rantala, Ville, 2021. "Common Analysts: Method for Defining Peer Firms," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 56(5), pages 1505-1536, August.
    9. Lo, Andrew W & MacKinlay, A Craig, 1990. "When Are Contrarian Profits Due to Stock Market Overreaction?," The Review of Financial Studies, Society for Financial Studies, vol. 3(2), pages 175-205.
    10. Tobias J. Moskowitz & Mark Grinblatt, 1999. "Do Industries Explain Momentum?," Journal of Finance, American Finance Association, vol. 54(4), pages 1249-1290, August.
    11. Jansen, Maarten & Swinkels, Laurens & Zhou, Weili, 2021. "Anomalies in the China A-share market," Pacific-Basin Finance Journal, Elsevier, vol. 68(C).
    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. Chenchen Li & Rui Li & Xundi Diao & Chongfeng Wu, 2020. "Market segmentation and supply‐chain predictability: evidence from China," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 60(2), pages 1531-1562, June.
    14. Ali, Usman & Hirshleifer, David, 2020. "Shared analyst coverage: Unifying momentum spillover effects," Journal of Financial Economics, Elsevier, vol. 136(3), pages 649-675.
    15. Tarun Chordia & Bhaskaran Swaminathan, 2000. "Trading Volume and Cross‐Autocorrelations in Stock Returns," Journal of Finance, American Finance Association, vol. 55(2), pages 913-935, April.
    16. Lauren Cohen & Andrea Frazzini, 2008. "Economic Links and Predictable Returns," Journal of Finance, American Finance Association, vol. 63(4), pages 1977-2011, August.
    17. 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).
    18. Hoberg, Gerard & Phillips, Gordon M., 2018. "Text-Based Industry Momentum," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 53(6), pages 2355-2388, December.
    19. Badrinath, S G & Kale, Jayant R & Noe, Thomas H, 1995. "Of Shepherds, Sheep, and the Cross-autocorrelations in Equity Returns," The Review of Financial Studies, Society for Financial Studies, vol. 8(2), pages 401-430.
    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. Chan, Louis K C & Jegadeesh, Narasimhan & Lakonishok, Josef, 1996. "Momentum Strategies," Journal of Finance, American Finance Association, vol. 51(5), pages 1681-1713, December.
    22. Brennan, Michael J & Jegadeesh, Narasimhan & Swaminathan, Bhaskaran, 1993. "Investment Analysis and the Adjustment of Stock Prices to Common Information," The Review of Financial Studies, Society for Financial Studies, vol. 6(4), pages 799-824.
    23. 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.
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    1. Yi, Biao & Xiang, Xueman, 2023. "Pair analyst coverage and return comovement: Evidence from China," Pacific-Basin Finance Journal, Elsevier, vol. 77(C).

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    More about this item

    Keywords

    Shared analyst coverage; Common-analyst momentum; Linked firms; Cross-asset momentum; Return predictability;
    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
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
    • G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation

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