This study aims to investigate the impact of CEO optimism on analystís forecast bias with data gathered from the years 1993 to 2015 in the US and to identify whether or not certain firm characteristics can ease analystís forecast bias affected by CEO optimism. These being: cash dividend changes, external financing, credit rating, and CEO gender and to verify firm characteristics have the ability to improve an analystís prediction or not as well as have the ability to reduce the impact of CEO optimism on analyst forecast bias. The empirical findings have shown that optimistic CEOs are more likely to release higher earnings forecasts and increase analyst forecast bias. Analysts can reduce the forecast bias caused by optimistic CEOs by learning more about cash dividend changes, debt financing, credit ratings, and CEO gender. This effect is also more significant in relation to the analystsí negative forecast bias.
JEL classification numbers: G31, G32, G34, G38
Keywords: Analyst Forecast, CEO Optimism, Analysts Forecast Bias Sensitivity.
ISSN: 1792-7552 (Online)