produce large reductions in the out-of-sample prediction mean squared error and provides a useful alternative to forecasting …

This paper presents a rigurous framework for evaluating alternative forecasting methods for Chilean industrial … production and sales. While nonlinear features appear to be important for forecasting the very short term, simple univariate … linear models perform about as well for almost every forecasting horizon …

hampering efforts at prediction. In this paper, we present a unified framework for forecasting the global electronics cycle by … indicators. An evaluation of their relative accuracy suggests that the VAR model's forecasting performance is superior to that of …

, which should be manifested, possibly with a lag, in both producer and consumer prices. We build a forecasting model based on …

-of-sample (testing sample) observations in order to evaluate the “goodness-of-fit†of the forecasting model both analytically, as well …

In real time forecasting, the sample is usually split into an estimation period of R observations and a prediction …

sample) observations in order to evaluate the “goodness-of-fitâ€? of the forecasting model both analytically, as well …