In this paper, we disentangle tax revenue forecast errors into influences stemming from wrong macroeconomic assumptions … the forecast errors of the energy tax and the sales taxes. For the overall tax sum, more than two-third of the error can … can reduce tax revenue forecast errors …

We examine forecast accuracy and efficiency of the Social Security Administration’s projections for cost rate, trust …

-switching models, and forecast combination to predict the dynamics in the S&P 500. First, we aggregate the weekly information of 115 … as predictors. Third, we pool the forecasts in clusters to hedge against model risk and to evaluate the usefulness of …, and reducing tail risk. Using the same approach for return forecasts, however, does not lead to a consistent …

forecasts based on pooled and individual estimates and develop a novel forecast poolability test that can be used as a … stock returns, we show that no single forecasting approach dominates uniformly. However, forecast combination and shrinkage … methods provide better overall forecasting performance and offer more attractive risk profiles compared to individual, pooled …

forecasts are derived from non-directional forecasts and whether point forecast have predictive value when transformed into …

realized sales, we document that only major forecast errors are predictable and display autocorrelation. This result is a … forecast errors are neither predictable nor autocorrelated. To arrive at this result, we develop a novel methodology to … environments where information processing is more costly. This results in major forecast errors that are predictable and …

This paper provides a detailed assessment of the real-time forecast accuracy of a wide range of vector autoregressive …