on predictive accuracy of aggregate demand in a systematic way. The results of the prediction experiments are compared to …

cash flows for the prediction of future cash flows. Using a sample of 4,397 Spanish companies (mostly privately held), we … that the out-of-sample prediction errors provided by the accrual-based earnings model are significantly lower than those … obtained with the cash flows model. We also regress the decrease in prediction errors brought about by the addition of accruals …

of prediction using big data. In this paper, our over-arching question is whether such big data are useful for modelling … benchmark econometric models; and all used in the prediction of 11 key macroeconomic variables relevant for monetary policy …, SPCA yields MSFE-best prediction models in many cases, particularly when coupled with shrinkage. This result provides …

measures. Our empirical analysis centers around the implementation of a series of simulation and prediction experiments, as … well as a discussion of the stochastic properties of seasonal unit root models. Our prediction experiments are based on … of greater than one-step ahead, our SUR model perform poorly when used for prediction, suggesting that parameter …

. The specificity of a scientific prediction depends on the extent of the scientist's knowledge concerning the phenomena … and – as the phenomena of scientific prediction are themselves complex in Hayek's sense – exemplifies the intuition that … the specificity of a scientific prediction depends on the relevant knowledge available. …

We propose two new procedures for comparing the mean squared prediction error (MSPE) of a benchmark model to the MSPEs …