A great number of academic papers evaluate the potential for incentive-driven bias in sell-side analysts' earnings forecasts. Yet bias does not necessarily invalidate a forecast, nor does it impinge on its relative quality. We find that analysts' forecasts are optimistic relative to recently...

This paper analyzes the distribution of stock ratings at investment banks and brokerage firms and examines whether these distributions can be used to predict the profitability of analysts' recommendations. Consistent with prior work, we find that the percentage of buy recommendations increased...

We apply state-of-the-art financial machine learning to assess the return-predictive value of more than 45,000 earnings announcements on a majority of S&P1500 constituents. To represent the diverse information content of earnings announcements, we generate predictor variables based on various...

This research aims to obtain empirical evidence regarding financial performance's role in disseminating components that affect the stock holding period. Companies listed in the LQ-45 index from the 2013 to 2017 period on the Indonesia Stock Exchange were the study samples. The sample selection...