We investigate the probability forecasting performance of a three-regime dynamic ordered probit model framework …-parametric dating algorithm for the identification of these three phases. We compare the pseudo-out-of-sample forecasting skills of an …-Operating-Characteristic (ROC) Kurve sowie zwei dazugehörige statistische Maße berechnet. …

and assess relative model performance based on the receiver operating characteristic (ROC) curve. While the Treasury term … significantly improve the precision of recession predictions, especially at horizons further out than one year. …

We have studied the relationship between Receiver Operating Characteristics (ROC) and Precision-Recall Curve (PRC) both … ROC and inverted precision in PRC are analogous concepts, and their difference is determined by the interaction of sample … quantify the extent to which ROC could be exaggerating the true predictive value of the yield curve in predicting recessions. …

variables compared to standard, univariate, forecasting methods. We evaluate the impact of using combined information in the …

variables or which ones to use. The results of a recursive forecasting exercise reveal a statistically significant increase in …

improves the forecasting of the aggregated series compared to using the aggregated series alone. We used econometric techniques …-horizon Superior Predictive Ability (uSPA) tests, used to select the best forecasting model by combining different horizons. Our sample … forecasting horizons that are more than one month ahead using the mean square error, and the aggregated ETS has better forecasting …

forecasting macroeconomic key variables such as GDP. However, the DFM has some weaknesses. For nowcasting, the dynamic factor … on euro-area data show that the now- and forecasting performance of our new model is superior to that of the subset …