This paper conducts an extensive forecasting study on 13,118 time series measuring Swiss goods exports, grouped …

forecasting experiment is based on a novel big macroeconomic dataset (FRED-QD) comprising over 200 quarterly indicators for almost …

forecasting techniques, e.g. correlation forecasts based on historical values and on a dynamic conditional correlation (DCC) model … varied. We find that the applied volatility forecasting models have a strong influence on the expected net present value … distribution and on the probability of default. In contrast, correlation forecasting models play a minor role. Time resolution and …

forecasting model for another variable, and hence our use of terminology such as ?out-of-sample Granger causality? (see e …

focusing on forecasting inflation and GDP growth in a panel of countries confirms this finding. …

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 with the most promising …