on some high frequency basis has spurred the research in the field of volatility modeling and forecasting into new …

period 1970Q1 - 2003Q4 for ten macroeconomic variables. The years 2000 - 2003 are used as forecasting period. A range of … different univariate forecasting methods is applied. Some of them are based on linear autoregressive models and we also use some … forecasting variables which need considerable adjustments in their levels when joining German and EMU data. These results suggest …

did not become weaker in the 1990s. Thus it is justified to use traditional methods in forecasting the VAT revenues. …

This paper performs a comparative analysis of estimation as well as of out-of-sample forecasting results of more than … estimates of the migration function. Out-of-sample forecasting results indicate the following: (i) the standard fixed effects … variables estimators, (iv) forecasting performance of heterogenous estimators is mediocre in our data set. …

This paper examines financial professionals' overconfidence in their forecasting performance. We are the first to … compare individual financial professionals' self-ratings with their true forecasting performance. Data spans several years at … attitude to herd, whereas recent forecasting success comes along with more overconfidence. …

Several approaches for subset recovery and improved forecasting accuracy have been proposed and studied. One way is to …