forecasting the quarterly growth rate of Euro area GDP and its components, using a very large set of monthly indicators taken from …

aggregates are timevarying, much of the literature on forecasting aggregates considers the case of linear aggregates with fixed … theoretical setup and the forecasting results. …

We propose a new approach to forecasting the term structure of interest rates, which allows to efficiently extract the … forecasting performance of our proposed model relative to most of the existing alternative speci.cations. While most of the … and useful for forecasting. …

The adoption of inflation targeting in emerging market economies makesaccurate forecasting of inflation and output …, autoregressive and small-scale vector autoregressive models can be suggested as forecasting tools. However,these models include only … forecasting performance of the models considered depends on the statistical properties of the series to be forecast, which are …

The paper addresses the issue of forecasting a large set of variables using multivariate models. In particular, we … propose three alternative reduced rank forecasting models and compare their predictive performance for US time series with the …

Models based on economic theory have serious problems at forecasting exchange rates better than simple univariate … forecasting. In addition, we adopt a driftless random walk prior, so that cross-dynamics matter for forecasting only if there is …