Factor based forecasting has been at the forefront of developments in the macroeconometric forecasting literature in … number of factors in the forecasting regression, the benefits of combining factor-based forecasts and the choice of the …

Forecasting the world economy is a difficult task given the complex interrelationships within and across countries …, first, at ranking various forecasting methods in terms of forecast accuracy and, second, at checking whether methods … forecasting di- rectly aggregate variables (direct approaches)out-perform methods based on the aggregation of country- specific …

and elasticities commonly used for forecasting or cyclically adjusting government revenues and taking into account … same exercise using alternative tax base proxies, either taken from forecasting models or on the basis of our knowledge of …

We propose a new method for multivariate forecasting which combines Dynamic Factor and multivariate GARCH models. The … asset returns. Our model outperforms the benchmarks in fore-casting the inflation level, its conditional variance and the …

find evidence that the CLI encompasses useful information for forecasting industrial production, particularly over horizons …

disaggregates or forecasting by a univariate aggregate model. New analytical results show the effects of changing coefficients, mis … theoretical predictions and simulations are corroborated when forecasting aggregate US inflation pre- and post 1984 using …

estimates for inflation forecasting both in the short term (one-quarter and one-year ahead) and the medium term (two-year and …

data than simpler models including the random walk. The traditional test based on forecasting ability is applied as well …