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Do excessively volatile forecasts impact investors?

Author

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  • Russell Lundholm

    (University of British Columbia)

  • Rafael Rogo

    (Indiana University)

Abstract

There is a logical bound on the time-series variability of analyst forecasts; when variability exceeds this bound it must be caused by something besides statistically rational forecasting. We document occurrences of excessively volatile analyst forecasts and show that they influence investment performance. Comparing trading rules based on forecasts that are excessively volatile and those that are not, we find the returns to investing based on the former are significantly lower, with higher daily volatility, and a lower Sharpe ratio. We also show that returns to trading based on excessively volatile forecasts underperform the most when there is little news arriving and when the news that does arrive is relatively neutral. In this region, it is hardest to argue that analysts are unwittingly overreacting to news; instead, they appear to be intentionally making extreme forecasts to curry favor with management or to differentiate themselves from other analysts.

Suggested Citation

  • Russell Lundholm & Rafael Rogo, 2020. "Do excessively volatile forecasts impact investors?," Review of Accounting Studies, Springer, vol. 25(2), pages 636-671, June.
  • Handle: RePEc:spr:reaccs:v:25:y:2020:i:2:d:10.1007_s11142-019-09522-y
    DOI: 10.1007/s11142-019-09522-y
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    as
    1. X. Frank Zhang, 2006. "Information Uncertainty and Stock Returns," Journal of Finance, American Finance Association, vol. 61(1), pages 105-137, February.
    2. Graham, John R. & Harvey, Campbell R., 1996. "Market timing ability and volatility implied in investment newsletters' asset allocation recommendations," Journal of Financial Economics, Elsevier, vol. 42(3), pages 397-421, November.
    3. Nerissa C. Brown & Kelsey D. Wei & Russ Wermers, 2014. "Analyst Recommendations, Mutual Fund Herding, and Overreaction in Stock Prices," Management Science, INFORMS, vol. 60(1), pages 1-20, January.
    4. Pervin K. Shroff & Ramgopal Venkataraman & Baohua Xin, 2014. "Timeliness of Analysts' Forecasts: The Information Content of Delayed Forecasts," Contemporary Accounting Research, John Wiley & Sons, vol. 31(1), pages 202-229, March.
    5. So, Eric C., 2013. "A new approach to predicting analyst forecast errors: Do investors overweight analyst forecasts?," Journal of Financial Economics, Elsevier, vol. 108(3), pages 615-640.
    6. Gilles, Christian & LeRoy, Stephen F, 1991. "Econometric Aspects of the Variance-Bounds Tests: A Survey," The Review of Financial Studies, Society for Financial Studies, vol. 4(4), pages 753-791.
    7. Griffin, Paul A, 1976. "Competitive Information in the Stock Market: An Empirical Study of Earnings, Dividends and Analysts' Forecasts," Journal of Finance, American Finance Association, vol. 31(2), pages 631-650, May.
    8. Ulrike Malmendier & Devin Shanthikumar, 2014. "Do Security Analysts Speak in Two Tongues?," The Review of Financial Studies, Society for Financial Studies, vol. 27(5), pages 1287-1322.
    9. Chen, Qi & Francis, Jennifer & Jiang, Wei, 2005. "Investor learning about analyst predictive ability," Journal of Accounting and Economics, Elsevier, vol. 39(1), pages 3-24, February.
    10. 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.
    11. Shiller, Robert J, 1981. "Do Stock Prices Move Too Much to be Justified by Subsequent Changes in Dividends?," American Economic Review, American Economic Association, vol. 71(3), pages 421-436, June.
    12. Qi Chen & Wei Jiang, 2006. "Analysts' Weighting of Private and Public Information," The Review of Financial Studies, Society for Financial Studies, vol. 19(1), pages 319-355.
    13. Pagan, Adrian R. & Schwert, G. William, 1990. "Testing for covariance stationarity in stock market data," Economics Letters, Elsevier, vol. 33(2), pages 165-170, June.
    14. Barber, Brad M. & Lyon, John D., 1997. "Detecting long-run abnormal stock returns: The empirical power and specification of test statistics," Journal of Financial Economics, Elsevier, vol. 43(3), pages 341-372, March.
    15. Chen, Xia & Cheng, Qiang & Lo, Kin, 2010. "On the relationship between analyst reports and corporate disclosures: Exploring the roles of information discovery and interpretation," Journal of Accounting and Economics, Elsevier, vol. 49(3), pages 206-226, April.
    16. Givoly, Dan & Lakonishok, Josef, 1979. "The information content of financial analysts' forecasts of earnings: Some evidence on semi-strong inefficiency," Journal of Accounting and Economics, Elsevier, vol. 1(3), pages 165-185, December.
    17. Michael B. Clement & Senyo Y. Tse, 2005. "Financial Analyst Characteristics and Herding Behavior in Forecasting," Journal of Finance, American Finance Association, vol. 60(1), pages 307-341, February.
    18. Prendergast, Canice & Stole, Lars, 1996. "Impetuous Youngsters and Jaded Old-Timers: Acquiring a Reputation for Learning," Journal of Political Economy, University of Chicago Press, vol. 104(6), pages 1105-1134, December.
    19. X. Frank Zhang, 2006. "Information Uncertainty and Analyst Forecast Behavior," Contemporary Accounting Research, John Wiley & Sons, vol. 23(2), pages 565-590, June.
    20. Ivkovic, Zoran & Jegadeesh, Narasimhan, 2004. "The timing and value of forecast and recommendation revisions," Journal of Financial Economics, Elsevier, vol. 73(3), pages 433-463, September.
    21. Lu Zhang & Chen Xue & Frederico Belo, 2012. "Accounting for Value," 2012 Meeting Papers 1128, Society for Economic Dynamics.
    22. Scott Richardson & Siew Hong Teoh & Peter D. Wysocki, 2004. "The Walk†down to Beatable Analyst Forecasts: The Role of Equity Issuance and Insider Trading Incentives," Contemporary Accounting Research, John Wiley & Sons, vol. 21(4), pages 885-924, December.
    23. Chan, Louis K C & Jegadeesh, Narasimhan & Lakonishok, Josef, 1996. "Momentum Strategies," Journal of Finance, American Finance Association, vol. 51(5), pages 1681-1713, December.
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    Cited by:

    1. Paul Fischer & Chongho Kim & Frank Zhou, 2022. "Disagreement about fundamentals: measurement and consequences," Review of Accounting Studies, Springer, vol. 27(4), pages 1423-1456, December.

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    More about this item

    Keywords

    excess volatility; analyst forecasts;

    JEL classification:

    • 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
    • M49 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Accounting - - - Other

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