Prior archival studies of analysts ’ forecasts have found evidence for systematic underreaction, systematic overreaction, and systematic optimism bias. Easterwood and Nutt (1999) attempt to reconcile the conflicting evidence by testing the robustness of Abarbanell and Bernard’s (1992) underreaction results to the nature of the information. Consistent with systematic optimism, forecasts are found to underreact to negative earnings information but overreact to positive information. However, Easterwood and Nutt are unable to distinguish between misreaction caused by incentives unique to analysts with misreaction caused by human decision bias that may be typical of investors. We address this issue by analyzing forecast reactions to positive ver...
We explore the extent to which investor response to earnings information differs in the presence of ...
Restricted until 6 April 2009.This work examines forecast errors in financial analysts' earnings for...
valuable discussions and suggestions. Finally, I would like to thank I/B/E/S for making its dataset ...
Abstract: We show that the previous finding of analysts ’ overreaction to extreme good news in earni...
We provide an alternative explanation for the previous finding of analysts' overreaction to extreme ...
We examine hypotheses derived from behavioral decision theory regarding conditions that lead to over...
Preannouncements of earnings tend to overstate negative or understate positive news, which decreases...
Prior research attributes zero and small positive earnings surprises to managers’ incentives for ear...
This paper examines whether earnings forecasts within the Australian context suffer from analysts’ o...
I empirically study whether strong signals counteract the effects of confirmation bias in sell-side ...
I hypothesize that the stock market overreacts to management earnings forecasts be-cause of the unce...
We present a two-stage model for the decision making process of financial analysts when issuing earn...
Prior studies suggest that analysts have incentives to bias their earnings forecasts, especially for...
Research conducted considers the quality of security analysts' earnings forecasts by testing the rat...
Trueman [1994] provides a model of forecasting behavior in which analysts do not always make forecas...
We explore the extent to which investor response to earnings information differs in the presence of ...
Restricted until 6 April 2009.This work examines forecast errors in financial analysts' earnings for...
valuable discussions and suggestions. Finally, I would like to thank I/B/E/S for making its dataset ...
Abstract: We show that the previous finding of analysts ’ overreaction to extreme good news in earni...
We provide an alternative explanation for the previous finding of analysts' overreaction to extreme ...
We examine hypotheses derived from behavioral decision theory regarding conditions that lead to over...
Preannouncements of earnings tend to overstate negative or understate positive news, which decreases...
Prior research attributes zero and small positive earnings surprises to managers’ incentives for ear...
This paper examines whether earnings forecasts within the Australian context suffer from analysts’ o...
I empirically study whether strong signals counteract the effects of confirmation bias in sell-side ...
I hypothesize that the stock market overreacts to management earnings forecasts be-cause of the unce...
We present a two-stage model for the decision making process of financial analysts when issuing earn...
Prior studies suggest that analysts have incentives to bias their earnings forecasts, especially for...
Research conducted considers the quality of security analysts' earnings forecasts by testing the rat...
Trueman [1994] provides a model of forecasting behavior in which analysts do not always make forecas...
We explore the extent to which investor response to earnings information differs in the presence of ...
Restricted until 6 April 2009.This work examines forecast errors in financial analysts' earnings for...
valuable discussions and suggestions. Finally, I would like to thank I/B/E/S for making its dataset ...