variancefunctions. In a genuine out-of-sample forecasting experiment theperformance of the best fitted asMA-asQGARCH model is compared … topure asMA and no-change forecasts. This is done both in terms ofconditional mean forecasting as well as in terms of risk … forecasting. …

explores various specifications of decompositions and various forecasting experiments. The result from these horse-races is … for richer forecasting specifications, the paper shows, using Bayesian model averaging techniques (BMA), that the …

provide a theoretical justification of the use of random subspace methods and show their usefulness when forecasting monthly …

The paper investigates the impact of jumps in forecasting co-volatility, accommodating leverage effects. We modify the … forecasting weekly and monthly horizons. …

short-term forecasting models. These empirical findings have been established for different macroeconomic data sets and … specification is most effective in its forecasting performance. Furthermore, the forecast performances of the different … extended empirical out-of-sample forecasting competition for quarterly growth of gross domestic product in the euro area and …

surface types. We finally show that our proposed model can also be effective in forecasting. We provide evidence that our … model significantly outperforms existing models in the forecasting of tennis match results. …