Review of Accounting Studies

, Volume 14, Issue 2–3, pp 358–391 | Cite as

Are analysts’ earnings forecasts more accurate when accompanied by cash flow forecasts?



We examine whether analysts’ earnings forecasts are more accurate when they also issue cash flow forecasts. We find that (i) analysts’ earnings forecasts issued together with cash flow forecasts are more accurate than those not accompanied by cash flow forecasts, and (ii) analysts’ earnings forecasts reflect a better understanding of the implications of current earnings for future earnings when they are accompanied by cash flow forecasts. These results are consistent with analysts adopting a more structured and disciplined approach to forecasting earnings when they also issue cash flow forecasts. Finally, we find that more accurate cash flow forecasts decrease the likelihood of analysts being fired, suggesting that cash flow forecast accuracy is relevant to analysts’ career outcomes.


Analysts Earnings forecasts Cash flow forecasts Forecast accuracy Analyst turnover 

JEL Classification

G24 G29 M41 



We thank Russ Lundholm (Editor) and Phil Shane (Referee) for valuable insights. We have also benefitted from the discussion of Reuven Lehavy at the 2008 RAST Conference. We appreciate the helpful comments of Michael Clement, Pieter Elgers, Max Hewitt, Qianyun Huang, Ping-Sheng Koh, Bernadine Low, Ray Pfeiffer, Dave Piercey, Steve Rock, Richard Sloan, Siew Hong Teoh and workshop participants at the University of Colorado at Boulder, the University of Massachusetts Amherst, and participants at the 2008 AAA Annual meeting and 2008 RAST Conference. We also thank Julia Yu for research assistance.


  1. Ahmed, A. S., Nainar, S. M., & Zhang, F. (2006). Further evidence on analyst and investor mis-weighting of prior period cash flows and accruals. The International Journal of Accounting, 41, 51–74.CrossRefGoogle Scholar
  2. Barth, M., Kasznik, R., & McNichols, M. (2001). Analyst coverage and intangible assets. Journal of Accounting Research, 39, 1–34.CrossRefGoogle Scholar
  3. Bradshaw, M., Richardson, S., & Sloan, R. (2001). Do analysts and auditors use information in accruals? Journal of Accounting Research, 39, 45–74.CrossRefGoogle Scholar
  4. Brown, L. (1993). Earnings forecasting research: Its implications for capital markets research. International Journal of Forecasting, 9, 295–320.CrossRefGoogle Scholar
  5. Brown, L. (2001). How important is past analyst forecast accuracy? Financial Analysts Journal, 57, 44–49.CrossRefGoogle Scholar
  6. Brown, L., & Hugon, A. (2007). Team earnings forecasts. Working paper. Georgia State University.Google Scholar
  7. Brown, L., Richardson, G., & Schwager, S. (1987). An information interpretation of financial analyst superiority in forecasting earnings. Journal of Accounting Research, 25, 49–67.CrossRefGoogle Scholar
  8. Burgstahler, D., & Eames, M. (2003). Earnings management to avoid losses and earnings decrease: Are analysts fooled? Contemporary Accounting Research, 20, 253–294.CrossRefGoogle Scholar
  9. Call, A. (2008). Analysts’ cash flow forecasts and the relative informativeness and pricing of the cash component of earnings. Working paper. University of Georgia.Google Scholar
  10. Call, A., Hewitt, M., & Shevlin, T. (2008). Investors’ pricing of earnings: A model of persistence and the stock price consequences. Working paper. University of Georgia, Indiana University, and University of Washington.Google Scholar
  11. Chen, S., & Matsumoto, D. (2006). Favorable versus unfavorable recommendations: The impact on analyst access to management-provided information. Journal of Accounting Research, 44, 657–689.CrossRefGoogle Scholar
  12. Chen, S., Shevlin, T., & Tong, Y. (2007). Does the pricing of financial reporting quality change around dividend changes? Journal of Accounting Research, 45, 1–40.CrossRefGoogle Scholar
  13. Clement, M. (1999). Analyst forecast accuracy: Do ability, resources, and portfolio complexity matter? Journal of Accounting & Economics, 27, 285–303.CrossRefGoogle Scholar
  14. Clement, M., Rees, L., & Swanson, E. P. (2003). The influence of culture and corporate governance on the characteristics that distinguish superior analysts. Journal of Accounting, Auditing, and Finance, 18, 593–618.Google Scholar
  15. Clement, M., & Tse, S. (2003). Do investors respond to analysts’ forecast revisions as if forecast accuracy is all that matters? The Accounting Review, 78, 227–249.CrossRefGoogle Scholar
  16. Clement, M., & Tse, S. (2005). Financial analyst characteristics and herding behavior in forecasting. The Journal of Finance, 60, 307–341.CrossRefGoogle Scholar
  17. Dechow, P., Hutton, A., & Sloan, R. (1999). An empirical assessment of the residual income valuation model. Journal of Accounting and Economics, 26, 1–34.CrossRefGoogle Scholar
  18. DeFond, M., & Hung, M. (2003). An empirical analysis of analysts’ cash flow forecasts. Journal of Accounting & Economics, 35, 73–100.CrossRefGoogle Scholar
  19. Degeorge, F., Patel, J., & Zeckhauser, R. (1999). Earnings management to exceed thresholds. Journal of Business, 72, 1–34.CrossRefGoogle Scholar
  20. Easton, P., & Monahan, S. (2005). An evaluation of accounting-based measures of expected returns. The Accounting Review, 80, 501–538.CrossRefGoogle Scholar
  21. Elgers, P., May, H. L., & Pfeiffer, R. (2003). Analysts’ vs. An evaluation of accounting-based measures of expected returns. Journal of Accounting and Public Policy, 22, 255–280.CrossRefGoogle Scholar
  22. Ertimur, Y., Mayew, W., & Stubben, S. (2008). Analyst reputation and the issuance of disaggregated earnings forecasts to I/B/E/S. Working paper. Duke University and University of North Carolina at Chapel Hill.Google Scholar
  23. Ertimur, Y., & Stubben, S. (2005). Analysts’ incentives to issue revenue and cash flow forecasts. Working paper. Duke University and University of North Carolina at Chapel Hill.Google Scholar
  24. Ettredge, M., Shane, P., & Smith, D. (1995). Overstated quarterly earnings and analysts’ earnings forecast revisions. Decision Sciences, 26, 781–801.CrossRefGoogle Scholar
  25. Francis, J., LaFond, R., Olsson, P., & Schipper, K. (2005). The market pricing of accruals quality. Journal of Accounting and Economics, 39, 295–327.CrossRefGoogle Scholar
  26. Francis, J., & Lennox, C.S. (2008). Selection models in accounting research. Working paper. University of Missouri-Columbia and HKUST.Google Scholar
  27. Givoly, D., Hayn, C., & Lehavy, R. (2008). The quality of analysts’ cash flow forecasts. Working paper. Penn St., University of California at Los Angeles, and University of Michigan.Google Scholar
  28. Gleason, C., & Lee, C. (2003). Analyst forecast revisions and market price discovery. The Accounting Review, 78, 193–225.CrossRefGoogle Scholar
  29. Heckman, J. J. (1979). Sample selection bias as a specification error. Econometrica, 47, 153–161.CrossRefGoogle Scholar
  30. Hewitt, M. (2008). Improving investors’ forecast accuracy when operating cash flows and accruals are differentially persistent. Working paper. Indiana University.Google Scholar
  31. Hirshleifer, D., & Teoh, S. H. (2003). Limited attention, information disclosure, and financial reporting. Journal of Accounting & Economics, 36, 337–386.CrossRefGoogle Scholar
  32. Hong, H., & Kubik, J. (2003). Analyzing the analysts: Career concerns and biased earnings forecasts. The Journal of Finance, 58, 313–352.CrossRefGoogle Scholar
  33. Hong, H., Kubik, J., & Solomon, A. (2000). Security analysts’ career concerns and herding of earnings forecasts. Rand Journal of Economics, 31, 121–144.CrossRefGoogle Scholar
  34. Jacob, J., Lys, T., & Neale, M. (1999). Expertise in forecasting performance of security analysts. Journal of Accounting and Economics, 28, 51–82.CrossRefGoogle Scholar
  35. Ke, B., & Yu, Y. (2006). The effect of issuing biased earnings forecasts on analysts’ access to management and survival. Journal of Accounting Research, 44, 965–999.CrossRefGoogle Scholar
  36. Kennedy, P. (1992). A guide to econometrics (3rd ed.). Oxford, UK: Basil Blackwell Ltd.Google Scholar
  37. Loh, R., & Mian, G. (2006). Do accurate earnings forecasts facilitate superior investment recommendations? Journal of Financial Economics, 80, 455–483.CrossRefGoogle Scholar
  38. Lundholm, R., & Sloan, R. (2007). Equity valuation and analysis (2nd ed.). NY, USA: McGraw Hill.Google Scholar
  39. Matsumoto, D. (2002). Management’s incentives to avoid negative earnings surprises. The Accounting Review, 77, 483–514.CrossRefGoogle Scholar
  40. McInnis, J., & Collins, D. (2008). Do cash flow forecasts deter earnings management? Working paper. University of Texas at Austin and University of Iowa.Google Scholar
  41. Mikhail, M., Walther, B., & Willis, R. (1997). Do security analysts improve their performance with experience? The Accounting Review, 35, 131–157.Google Scholar
  42. Mikhail, M., Walther, B., & Willis, R. (1999). Does forecast accuracy matter to security analysts? The Accounting Review, 74, 185–200.CrossRefGoogle Scholar
  43. O’Brien, P. (1988). Analysts’ forecasts as earnings expectations. Journal of Accounting and Economics, 10, 159–193.Google Scholar
  44. Pae, J., Wang, S., & Yoo, C. Y. (2007). Do analysts who issue cash flow forecasts predict more accurate earnings? Working paper. Queens University.Google Scholar
  45. Pandit, S., Willis, R., & Zhou, L. (2007). Security analysts, cash flow forecasts, and turnover. Ohio State: Vanderbilt and Tulane University.Google Scholar
  46. Park, C., & Stice, E. (2000). Analyst forecasting ability and stock price reaction to forecast revisions. Review of Accounting Studies, 5, 259–272.CrossRefGoogle Scholar
  47. Petersen, M. (2009). Estimating standard errors in finance panel data sets: Comparing approaches. Review of Financial Studies, 22, 435–480.Google Scholar
  48. Raedy, J., Shane, P., & Yang, Y. (2006). Horizon-dependent underreaction in financial analysts’ earnings forecasts. Contemporary Accounting Research, 23, 291–322.CrossRefGoogle Scholar
  49. Rajgopal, S., Shevlin, T., & Venkatachalam, M. (2003). Does the stock market fully appreciate the implications of leading indicators for future earnings? Evidence from order backlog. Review of Accounting Studies, 8, 461–492.CrossRefGoogle Scholar
  50. Ramnath, S., Rock, S., & Shane, P. (2008). The financial analyst forecasting literature: A taxonomy with suggestions for future research. International Journal of Forecasting, 24, 34–75.CrossRefGoogle Scholar
  51. Schipper, K. (1991). Analysts’ forecasts. Accounting Horizons, 5, 105–131.Google Scholar
  52. Skinner, D., & Sloan, R. (2002). Earnings surprises, growth expectations, and stock returns or don’t let an earnings torpedo sink your portfolio. Review of Accounting Studies, 7, 289–312.CrossRefGoogle Scholar
  53. Sloan, R. (1996). Do stock prices fully reflect information in accruals and cash flows about future earnings? The Accounting Review, 71, 289–315.Google Scholar
  54. Wooldridge, J. M. (2006). Econometric analysis of cross section and panel data. Cambridge, Massachusetts: The MIT Press.Google Scholar
  55. Xie, H. (2001). The mispricing of abnormal accruals. The Accounting Review, 76, 357–373.CrossRefGoogle Scholar
  56. Yu, Y. (2007). How do investors and analysts react to accruals? Evidence from a quarterly analysis. Working paper. Austin: University of Texas.Google Scholar

Copyright information

© Springer Science+Business Media, LLC 2009

Authors and Affiliations

  1. 1.J.M. Tull School of Accounting, Terry College of BusinessUniversity of GeorgiaAthensUSA
  2. 2.McCombs School of BusinessUniversity of TexasAustinUSA
  3. 3.Nanyang Business SchoolNanyang Technological UniversitySingaporeSingapore

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