changes in the dynamics of the series, for specifying models parsimoniously, and may be helpful in forecasting. We propose the …

This paper compares the forecasting performance of different models which have been proposed for forecasting in the … macroeconomic time series, we demonstrate the presence of structural breaks and their importance for forecasting in the vast … majority of cases. We find no single forecasting model consistently works best in the presence of structural breaks. In many …

We develop an easy-to-implement method for forecasting a stationary autoregressive fractionally integrated moving … rates illustrates the usefulness of our forecasting procedure. The empirical success of the HAR-RV model can be explained …

We present an estimation and forecasting method, based on a differential evolution MCMC method, for inference in GARCH … nearly all series. Finally, we carry out a forecasting exercise to evaluate the usefulness of structural break models. …

This paper compares the forecasting performance of different models which have been proposed for forecasting in the … forecasting in the vast majority of cases. However, we find no single forecasting model consistently works best in the presence of …

new model achieves higher forecasting performance compared to a standard DCC model. …

This paper compares the forecasting performance of different models which have been proposed for forecasting in the … forecasting in the vast majority of cases. However, we find no single forecasting model consistently works best in the presence of …

This paper compares the forecasting performance of different models which have been proposed for forecasting in the … forecasting in the vast majority of cases. However, we find no single forecasting model consistently works best in the presence of …

This paper compares the forecasting performance of different models which have been proposed for forecasting in the … forecasting in the vast majority of cases. However, we find no single forecasting model consistently works best in the presence of …

new model achieves higher forecasting performance compared to a standard DCC model. …