In this study, we examine the forecastability of a specific neural network architecture called General Regression Neural Network (GRNN) and compare its performance with a variety of forecasting techniques, including Multi-Layered Feedforward Network (MLFN), multivariate transfer function, and...

We study the impact of analyst forecasts on prices to determine whether investors learn about analyst accuracy. The straight-forward relationship between supply and price, the economic importance of the market, the predictable timing of forecast error realizations, and the high frequency of the...