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

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 …

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 …

In this paper we propose a strategy for forecasting the term structure of interest rates which may produce significant …

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 specifications. While most of the … useful for forecasting. …