We compare forecasts from different adaptive learning algorithms and calibrations applied to US real-time data on inflation and growth. We find that the Least Squares with constant gains adjusted to match (past) survey forecasts provides the best overall performance both in terms of forecasting...

Using a unique survey dataset, the author studies how financial market experts form their stock market expectations. He documents a strong disagreement among experts about how important macroeconomic and financial variables are related to stock returns. The results of an analysis of the...