. Using an out-of-sample forecasting exercise and a stability analysis, it is shown that core money growth carries important … information not contained in the inflation history, that its inclusion in a forecasting model can increase the forecasting … forecasting model at all horizons is the one proposed by Gerlach (2004) that includes the inflation gap, the difference between …

We extend the analysis of Christoffersen and Diebold (1998) on long-run forecasting in cointegrated systems to …, this new loss function entails high and increasing forecasting gains compared to both the standard MSFE criterion and …

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

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

-of-sample forecasting capacity relative to univariate time series models of the ARMA(p; q) and ARFIMA(p; d; q) varieties. These tests speak …

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 …

addition, widely used regression models have not been evaluated in terms of ex-ante forecasting. In this paper we analyze the … particularly provide a comparison of linear and nonlinear models with respect to ex-ante forecasting. In terms of average ranks of …