Recommendation-Forecast Consistency and Earnings Forecast Quality

31 Pages Posted: 5 Jan 2010 Last revised: 26 Mar 2014

See all articles by Lawrence D. Brown

Lawrence D. Brown

Temple University - Department of Accounting

Kelly Huang

Florida International University

Date Written: December 1, 2012

Abstract

We investigate the implications of recommendation-forecast consistency for the informativeness of stock recommendations and earnings forecasts and the quality of analysts’ earnings forecasts. Stock recommendations and earnings forecasts are often issued simultaneously and evaluated jointly by investors. However, the two signals are often inconsistent with each other. Defining a recommendation-forecast pair as consistent if both of them are above or below their existing consensus, we find that 58.3% of recommendation-forecast pairs are consistent in our sample. We document that consistent pairs result in much stronger market reactions than inconsistent pairs. We show that analysts making consistent recommendation-forecasts make more accurate and timelier forecasts than do analysts making inconsistent recommendation-forecasts, suggesting that consistent analysts make higher quality earnings forecasts. We extend the literature on informativeness of analyst research by showing that recommendation-forecast consistency is an important ex ante signal regarding both firm valuation and earnings forecast quality. Investors and researchers can use consistency as a salient, ex ante signal to identify more informative analyst research and superior earnings forecasts.

Keywords: stock recommendations, earnings forecasts, consistency, market reaction, earnings forecast quality

JEL Classification: M43, G12, M41

Suggested Citation

Brown, Lawrence D. and Huang, Kelly, Recommendation-Forecast Consistency and Earnings Forecast Quality (December 1, 2012). Accounting Horizons, Forthcoming. Available at SSRN: https://ssrn.com/abstract=1531370 or http://dx.doi.org/10.2139/ssrn.1531370

Lawrence D. Brown

Temple University - Department of Accounting ( email )

Philadelphia, PA 19122
United States

Kelly Huang (Contact Author)

Florida International University ( email )

11200 SW 8th Street
Miami, FL 33199
United States

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