Stock market openness and analyst forecast bias

Author(s):  
Shenglan Chen ◽  
Bingxuan Lin ◽  
Rui Lu ◽  
Hui Ma
Author(s):  
David A. Hirshleifer ◽  
Ben Lourie ◽  
Thomas Ruchti ◽  
Phong Truong

2014 ◽  
Vol 29 (3) ◽  
pp. 367-392 ◽  
Author(s):  
M. H. Franco Wong ◽  
X. Frank Zhang

2017 ◽  
Vol 33 (6) ◽  
pp. 1285-1302
Author(s):  
Michael Eames ◽  
Steven Glover

Scholars have reasoned that analysts issue optimistic forecasts to improve their access to managers’ private information when earnings are unpredictable. While this requires a managerial preference for analyst forecast optimism, the observed walk-down of analyst expectations to beatable forecasts is consistent with a managerial preference for pessimism in short-horizon forecasts. Using data from various sample periods, alternative model specifications, and various measures of earnings unpredictability, we find that pessimism, not optimism, in short-horizon forecasts is associated with increasingly unpredictable earnings. Our results suggest that firms can more effectively manage analysts’ earnings expectations downward when earnings are relatively unpredictable.


2017 ◽  
Vol 8 (4) ◽  
pp. 99 ◽  
Author(s):  
Jin Zhang ◽  
Haeyoung Shin

We investigate the association between the bias and accuracy of consensus analysts’ earnings forecasts and whether a firm is a sin firm or not. We measure analyst forecast bias as the difference between the consensus earnings forecast and the actual earnings, scaled by the stock price. We measure analyst forecast accuracy as the negative of the absolute value of the difference between the firms’ forecasted and actual earnings, scaled by the stock price. We find a positive association between the level of forecast optimism and sin firm membership. We find a negative association between the level of forecast accuracy and sin firm membership. Overall, these results imply that analysts tend to issue over-optimistic and less accurate earnings forecasts on sin firms.


2020 ◽  
pp. 314-324
Author(s):  
José Miguel Tirado-Beltrán ◽  
J. David Cabedo-Semper

This paper aims to analyse the influence of risk information disclosure on the accuracy of financial analysts’ earnings forecasts for the Spanish stock market. To do this, we performed a regression analysis with panel data on a sample comprised of non-financial firms listed on the Madrid Stock Exchange from 2010 to 2015. The results of the study show that risk information disclosed by firms does not help to reduce analysts’ uncertainty levels nor enable them to make more accurate forecasts of future profits. Furthermore, separately testing verified and unverified risk information disclosure confirms that there is no relationship between the risk information disclosed and the perception that analysts have on companies’ levels of risk.


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