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The hot-growth companies: How well do analysts predict their performance?

Author

Listed:
  • Yu, Susana
  • Lord, Richard A.
  • Webb, Gwendolyn

Abstract

We assess several aspects of analysts' forecasting performance for stocks included in Business Week's annual list of 100 "hot-growth" companies. We find that analysts underestimate earnings before stocks are included in the list, and they tend to overestimate them afterward. However, analysts revise their earnings estimates downward after stocks are included in the list, and the largest downward revisions are followed by significant negative stock returns. We conclude that analysts correctly assess the diminished prospects of stocks designated as "hot-growth" companies and that their forecast revisions have significant predictive power and value.

Suggested Citation

  • Yu, Susana & Lord, Richard A. & Webb, Gwendolyn, 2010. "The hot-growth companies: How well do analysts predict their performance?," Journal of Economics and Business, Elsevier, vol. 62(3), pages 195-219, May.
  • Handle: RePEc:eee:jebusi:v:62:y::i:3:p:195-219
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    References listed on IDEAS

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    1. John E. Core & Wayne R. Guay & Tjomme O. Rusticus, 2006. "Does Weak Governance Cause Weak Stock Returns? An Examination of Firm Operating Performance and Investors' Expectations," Journal of Finance, American Finance Association, vol. 61(2), pages 655-687, April.
    2. W. Scott Bauman & C. Mitchell Conover & Don R. Cox, 2002. "Are the Best Small Companies the Best Investments?," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 25(2), pages 169-186, June.
    3. Abarbanell, JS & Bushee, BJ, 1997. "Fundamental analysis, future earnings, and stock prices," Journal of Accounting Research, Wiley Blackwell, vol. 35(1), pages 1-24.
    4. repec:bla:jfinan:v:58:y:2003:i:3:p:1301-1327 is not listed on IDEAS
    5. Bradshaw, Mark T. & Richardson, Scott A. & Sloan, Richard G., 2006. "The relation between corporate financing activities, analysts' forecasts and stock returns," Journal of Accounting and Economics, Elsevier, vol. 42(1-2), pages 53-85, October.
    6. Susana Yu & Sang-Hoon Kim, 2009. "Analysis of Business Week hot-growth stocks: Momentum and fundamental investment approaches," Journal of Asset Management, Palgrave Macmillan, vol. 10(3), pages 192-204, August.
    7. Louis K. C. Chan & Jason Karceski & Josef Lakonishok, 2003. "The Level and Persistence of Growth Rates," Journal of Finance, American Finance Association, vol. 58(2), pages 643-684, April.
    8. Ronald C. Anderson & David M. Reeb, 2003. "Founding‐Family Ownership and Firm Performance: Evidence from the S&P 500," Journal of Finance, American Finance Association, vol. 58(3), pages 1301-1328, June.
    9. Abarbanell, Jeffery S., 1991. "Do analysts' earnings forecasts incorporate information in prior stock price changes?," Journal of Accounting and Economics, Elsevier, vol. 14(2), pages 147-165, June.
    10. La Porta, Rafael, et al, 1997. "Good News for Value Stocks: Further Evidence on Market Efficiency," Journal of Finance, American Finance Association, vol. 52(2), pages 859-874, June.
    11. Klein, April, 1990. "A direct test of the cognitive bias theory of share price reversals," Journal of Accounting and Economics, Elsevier, vol. 13(2), pages 155-166, July.
    12. Fama, Eugene F & French, Kenneth R, 1992. "The Cross-Section of Expected Stock Returns," Journal of Finance, American Finance Association, vol. 47(2), pages 427-465, June.
    13. Clarke, Jonathan & Ferris, Stephen P. & Jayaraman, Narayanan & Lee, Jinsoo, 2006. "Are Analyst Recommendations Biased? Evidence from Corporate Bankruptcies," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 41(1), pages 169-196, March.
    14. Elgers, Pt & Lo, Mh, 1994. "Reductions In Analysts Annual Earnings Forecast Errors Using Information In Prior Earnings And Security Returns," Journal of Accounting Research, Wiley Blackwell, vol. 32(2), pages 290-303.
    15. Mark T. Bradshaw & Scott A. Richardson & Richard G. Sloan, 2001. "Do Analysts and Auditors Use Information in Accruals?," Journal of Accounting Research, Wiley Blackwell, vol. 39(1), pages 45-74, June.
    Full references (including those not matched with items on IDEAS)

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