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Do Analysts Sacrifice Forecast Accuracy for Informativeness?

Author

Listed:
  • Henock Louis

    (Smeal College of Business, Pennsylvania State University, University Park, Pennsylvania 16802)

  • Amy X. Sun

    (Bauer College of Business, University of Houston, Houston, Texas 77204)

  • Oktay Urcan

    (London Business School, London NW1 4SA, United Kingdom)

Abstract

Analysts deviate from management guidance to correct for perceived earnings management. Although the deviations reduce forecast accuracy, they improve forecast informativeness, bringing the forecasts closer to the unmanaged earnings and reducing accruals mispricing. An implicit assumption in the literature is that more accurate analyst forecasts (i.e., estimates that are closer to the reported earnings) are better for investors, and that analysts' objective is to forecast the reported (managed) earnings accurately. Our analysis suggests that this is not necessarily the case and that an inaccurate forecast can actually be more informative than an accurate one. Prior studies on analysts' deviations from management guidance focus on analysts' incentives to issue estimates that managers can beat. These studies implicitly assume that analysts side with management against the interests of their clients. Our analysis indicates that analysts could also deviate from management guidance to provide useful valuation information to their clients. This paper was accepted by Mary Barth, accounting.

Suggested Citation

  • Henock Louis & Amy X. Sun & Oktay Urcan, 2013. "Do Analysts Sacrifice Forecast Accuracy for Informativeness?," Management Science, INFORMS, vol. 59(7), pages 1688-1708, July.
  • Handle: RePEc:inm:ormnsc:v:59:y:2013:i:7:p:1688-1708
    DOI: 10.1287/mnsc.1120.1675
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    References listed on IDEAS

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    2. Miran Hossain & Benjamin A. Jansen & Jon Taylor, 2020. "Do Analysts Cater to Investor Information Demand?," Working Papers 202003, Middle Tennessee State University, Department of Economics and Finance.
    3. Jie (Jack) He & Tingting Liu & Jeffry Netter & Tao Shu, 2020. "Expectation Management in Mergers and Acquisitions," Management Science, INFORMS, vol. 66(3), pages 1205-1226, March.
    4. Dana Hollie & Philip B. Shane & Qiuhong Zhao & Steven Cahan, 2017. "The role of financial analysts in stock market efficiency with respect to annual earnings and its cash and accrual components," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 57(1), pages 199-237, March.
    5. Bradley, Daniel & Gokkaya, Sinan & Liu, Xi & Xie, Fei, 2017. "Are all analysts created equal? Industry expertise and monitoring effectiveness of financial analysts," Journal of Accounting and Economics, Elsevier, vol. 63(2), pages 179-206.
    6. Alissa, Walid & Capkun, Vedran & Jeanjean, Thomas & Suca, Nadja, 2014. "An empirical investigation of the impact of audit and auditor characteristics on auditor performance," Accounting, Organizations and Society, Elsevier, vol. 39(7), pages 495-510.
    7. Vafaeimehr, Ahmadreza & Schulmerich, Marcus & Paterlini, Sandra, 2023. "Top investment banks, confirmation Bias, and the market pricing of forecast revisions," International Review of Financial Analysis, Elsevier, vol. 88(C).
    8. Gaganis, Chrysovalantis & Hasan, Iftekhar & Pasiouras, Fotios, 2016. "Regulations, institutions and income smoothing by managing technical reserves: International evidence from the insurance industry," Omega, Elsevier, vol. 59(PA), pages 113-129.
    9. Diego Prior & Emili Tortosa-Ausina & María Pilar García-Alcober & Manuel Illueca, 2019. "Profit efficiency and earnings quality: Evidence from the Spanish banking industry," Journal of Productivity Analysis, Springer, vol. 51(2), pages 153-174, June.
    10. Oveis Madadian & Walter Aerts & Tom Van Caneghem, 2018. "Social comparison of cost behaviour and financial analysts," Accounting and Business Research, Taylor & Francis Journals, vol. 48(7), pages 805-839, November.
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