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

current account and the real exchange rate mostly for the flexible exchange rate regime period. Based on VAR models …

shocks in the context of a VAR model, which explain the majority of the k-step ahead prediction error variances in real GNP …

, when we calculate a VaR (Value at Risk) with an instantaneous volatility to check the prediction performance. Furthermore …

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 …

identification and estimation of VARMA models. This paper examines if VAR models are good enough for forecasting macroeconomic …-of-sample forecasting performance of these models against VAR models fitted to the same da …VAR models are used in practice in preference to VARMA models due to the difficult issues involved in the …