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Buy-Side Analyst Forecasts More Optimistic, Less Accurate Than on the Sell-Side

CFA Institute Financial Analysts Journal article compares earnings forecasting performance data from 1997-2004

Charlottesville, Va., July 16, 2008 − Buy-side analysts make more optimistic and less accurate forecasts than their counterparts on the sell side, according to an article (PDF) by a trio of Harvard Business School academics published in the July/August CFA Institute Financial Analysts Journal.

“Buy-Side vs. Sell-Side Analysts’ Earnings Forecasts,” by Boris Groysberg, Paul Healy, and Craig Chapman, compares data for U.S. companies from buy-side analysts at a top U.S. investment firm and publicly available data and information on U.S. sell-side analysts.

As a percentage of actual earnings, the mean (median) buy-side forecasts are 8-16 percent (3-12 percent) higher than those on the sell side, and the buy-side mean (median) absolute forecast errors are 11-15 percent (4-11 percent) higher than those of their sell-side peers.

“We conclude that roughly one-third of the buy-side analysts’ forecast optimism and one-fifth of their absolute forecast error is attributable to the buy-side firm’s higher retention rate for low-quality analysts,” the authors wrote. “The performance differences also appear to have arisen because the buy-side firm did not measure its own analysts against the sell side, whereas sell-side analysts are regularly measured against each other.”

Groysberg is an assistant professor, Healy is James R. Williston Professor of Business Administration, and Chapman is a doctoral candidate of business administration at Harvard Business School.

Five more articles appear in the July/August FAJ:

  • “Systemic Credit Risk: What Is the Market Telling Us?” by Vineer Bhansali, Robert Gingrich, and Francis A. Longstaff, CFA
  • “Long-Term Impact of Russell 2000 Index Rebalancing” by Jie Cai and Todd Houge, CFA
  • “Valuing Illiquid Common Stock” by Edward A. Dyl and George J. Jiang
  • “Stock Repurchases and the EPS Enhancement Fallacy” by Jacob Oded and Allen Michel
  • “How Variation in Signal Quality Affects Performance” by Jia Ye


The FAJ is published bimonthly by CFA Institute. More information about the FAJ may be found at www.cfapubs.org.

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