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When Do Associate Analysts Matter?

Author

Listed:
  • Menghai Gao

    (International Institute of Finance, School of Management, University of Science and Technology of China, Hefei, Anhui 230026, PR China)

  • Yuan Ji

    (University of Texas at Arlington, Arlington, Texas 76010)

  • Oded Rozenbaum

    (The George Washington University, Washington, District of Columbia 20052)

Abstract

Although extant literature investigates the role of sell-side equity analysts in capital markets, most studies do not consider that sell-side equity analysts often work in hierarchical teams. Lead analysts manage a team of associate and junior analysts who participate in the team’s tasks. Building on the delegation theory in the management literature, we hypothesize and find a division of labor between lead and associate analysts, where lead analysts are more likely to delegate tasks (1) that are less significant, (2) that are simpler, (3) when the workload of the lead analyst increases, and (4) when the associate analyst is more competent. Our results further suggest that associate analysts play a significant role in forecasting. By contrast, lead analysts are the main contributors to the qualitative aspects of analyst reports and are more likely to participate in earnings conference calls. Overall, our study documents the significant role of associate analysts in forecasting and the division of labor between lead and associate analysts.

Suggested Citation

  • Menghai Gao & Yuan Ji & Oded Rozenbaum, 2022. "When Do Associate Analysts Matter?," Management Science, INFORMS, vol. 68(5), pages 3925-3948, May.
  • Handle: RePEc:inm:ormnsc:v:68:y:2022:i:5:p:3925-3948
    DOI: 10.1287/mnsc.2021.4056
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    References listed on IDEAS

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    1. Chan, Louis K. C. & Karceski, Jason & Lakonishok, Josef, 2007. "Analysts' Conflicts of Interest and Biases in Earnings Forecasts," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 42(4), pages 893-913, December.
    2. Yonca Ertimur & Jayanthi Sunder & Shyam V. Sunder, 2007. "Measure for Measure: The Relation between Forecast Accuracy and Recommendation Profitability of Analysts," Journal of Accounting Research, Wiley Blackwell, vol. 45(3), pages 567-606, June.
    3. Brown, Lawrence D. & Call, Andrew C. & Clement, Michael B. & Sharp, Nathan Y., 2016. "The activities of buy-side analysts and the determinants of their stock recommendations," Journal of Accounting and Economics, Elsevier, vol. 62(1), pages 139-156.
    4. Alok Kumar, 2010. "Self‐Selection and the Forecasting Abilities of Female Equity Analysts," Journal of Accounting Research, Wiley Blackwell, vol. 48(2), pages 393-435, May.
    5. Bing Han & Dongmin Kong & Shasha Liu, 2018. "Do Analysts Gain an Informational Advantage by Visiting Listed Companies?," Contemporary Accounting Research, John Wiley & Sons, vol. 35(4), pages 1843-1867, December.
    6. Boris Groysberg & Paul M. Healy & David A. Maber, 2011. "What Drives Sell‐Side Analyst Compensation at High‐Status Investment Banks?," Journal of Accounting Research, Wiley Blackwell, vol. 49(4), pages 969-1000, September.
    7. Bin Ke & Yong Yu, 2006. "The Effect of Issuing Biased Earnings Forecasts on Analysts' Access to Management and Survival," Journal of Accounting Research, Wiley Blackwell, vol. 44(5), pages 965-999, December.
    8. Emery, Douglas R. & Li, Xi, 2009. "Are the Wall Street Analyst Rankings Popularity Contests?," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 44(2), pages 411-437, April.
    9. John R. Graham & Si Li & Jiaping Qiu, 2012. "Managerial Attributes and Executive Compensation," The Review of Financial Studies, Society for Financial Studies, vol. 25(1), pages 144-186.
    10. 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.
    11. Marianne Bertrand & Antoinette Schoar, 2003. "Managing with Style: The Effect of Managers on Firm Policies," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 118(4), pages 1169-1208.
    12. Kosowski, Robert & Naik, Narayan Y. & Teo, Melvyn, 2007. "Do hedge funds deliver alpha? A Bayesian and bootstrap analysis," Journal of Financial Economics, Elsevier, vol. 84(1), pages 229-264, April.
    13. Clement, Michael B., 1999. "Analyst forecast accuracy: Do ability, resources, and portfolio complexity matter?," Journal of Accounting and Economics, Elsevier, vol. 27(3), pages 285-303, July.
    14. Jacob, John & Lys, Thomas Z. & Neale, Margaret A., 1999. "Expertise in forecasting performance of security analysts," Journal of Accounting and Economics, Elsevier, vol. 28(1), pages 51-82, November.
    15. Ramnath, Sundaresh & Rock, Steve & Shane, Philip, 2008. "The financial analyst forecasting literature: A taxonomy with suggestions for further research," International Journal of Forecasting, Elsevier, vol. 24(1), pages 34-75.
    16. Harrison Hong & Jeffrey D. Kubik, 2003. "Analyzing the Analysts: Career Concerns and Biased Earnings Forecasts," Journal of Finance, American Finance Association, vol. 58(1), pages 313-351, February.
    17. Luis Garicano, 2000. "Hierarchies and the Organization of Knowledge in Production," Journal of Political Economy, University of Chicago Press, vol. 108(5), pages 874-904, October.
    18. Ambrus Kecskés & Roni Michaely & Kent L. Womack, 2017. "Do Earnings Estimates Add Value to Sell-Side Analysts’ Investment Recommendations?," Management Science, INFORMS, vol. 63(6), pages 1855-1871, June.
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    Cited by:

    1. Cao, Shijiao & Liang, Chao, 2024. "Analyst collaboration networks and earnings forecast performance," International Review of Financial Analysis, Elsevier, vol. 93(C).

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