This paper describes a forecasting exercise of close-to-open returns on major global stock indices, based on price patterns from foreign markets that have become available overnight. As the close-to-open gap is a scalar response variable to a functional variable, it is natural to focus on...

We consider the problem of ex-ante forecasting conditional correlation patterns using ultra high frequency data. Flexible semiparametric predictors referring to the class of dynamic panel and dynamic factor models are adopted for daily forecasts. The parsimonious set up of our approach allows to...

We investigate the predictive ability of financial and macroeconomic variables for German stock and bond returns using a battery of performance metrics in addition to measures of superior predictive accuracy to identify the ‘best' models. We also examine whether combination forecasts provide...