A fundamental role of financial reporting is to provide information useful in forecasting future cash flows. Applying up-to-date time series modelling techniques, this study provides direct evidence on the usefulness quarterly data predicting operating Moreover, we show that predictive gain from using larger for asset-heavy industries and with higher levels earnings smoothness. This contributes...

One of the approaches to compare forecasting methods is to test whether the risk from a benchmark prediction is smaller than the others. The test can be embedded into a general problem of testing inequality constraints using a one-sided sup functional. Hansen (2005) showed that such tests su¤er from asymptotic bias. This paper generalizes this observation, and proposes a hybrid method to robust...

We propose a new test for superior predictive ability. The new test compares favorable to the reality check for data snooping (RC), because the former is more powerful and less sensitive to poor and irrelevant alternatives. The improvements are achieved by two modifications of the RC. We employ a studentized test statistic that reduces the influence of erratic forecasts and we invoke a sample d...

Bayesian learning implies decreasing weights on prior beliefs and increasing weights on the accuracy of the analyst’s past forecast record, as the number of forecast errors comprising her forecast record (its length) increases. Consistent with this model of investor learning, empirical tests show that investors’ reactions to forecast news are increasing in the product of the accuracy and length...