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 …

hampering efforts at prediction. In this paper, we propose a unified framework for forecasting the global electronics cycle by … constructing a VAR model that captures the economic interactions between leading indicators representing expectations, orders … causality tests. The VAR model is then used to derive the dynamic paths of adjustment of global chip sales in response to …

Business tendency survey indicators are widely recognized as a key instrument for business cycle forecasting. Their … leading indicator property is assessed with regard to forecasting industrial production in Russia and Germany. For this … purpose, vector autoregressive (VAR) models are specified and estimated to construct forecasts. As the potential number of …

Business tendency survey indicators are widely recognized as a key instrument for business cycle forecasting. Their … leading indicator property is assessed with regard to forecasting industrial production in Russia and Germany. For this … purpose, vector autoregressive (VAR) models are specified and estimated to construct forecasts. As the potential number of …

Business tendency survey indicators are widely recognized as a key instrument for business cycle forecasting. Their … leading indicator property is assessed with regard to forecasting industrial production in Russia and Germany. For this … purpose, vector autoregressive (VAR) models are specified and estimated to construct forecasts. As the potential number of …

the beginning of 2018. They also have performed well in forecasting the direction of inflation. In terms of the …