business strategy is base on a realistic strategic assessment together with a considered forecasting.  …

Purpose – The topic of forecasting and our (in)ability to predict the future should be regularly revisited as our … have been obvious. Forecasting is a critical stage of the strategizing process. Why are we still getting it wrong? Design …/value – This paper acts as a warning. Forecasting is about identifying patterns and themes and designing multiple response …

time‐varying conditional variance of Alberta electricity prices. This is of major importance in forecasting, since ARCH … uses the model to perform static and dynamic forecasts over different horizons and to compare its forecasting performance … of major importance in forecasting.  …

hybrid‐DSGE model outperforms the classical VAR, but not the Bayesian VARs in terms of out‐of‐sample forecasting performances … flexibility of the atheoretical VAR model. Design/methodology/approach – The model is estimated via the maximum likelihood … Bayesian variants of the VAR for the period 2001:1‐2005:4. Findings – The results indicate that, in general, the estimated …

made for univariate and vector ARMA models of inflation. States that the forecasting accuracy of the multivariate ARMA …