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We consider the problem of optimally combining individual forecasts of gross domestic product (GDP) and inflation from the Survey of Professional Forecasters (SPF) dataset for the Euro Area. Contrary to the common practice of using equal combination weights, we compute optimal weights which...
Persistent link: https://www.econbiz.de/10010562445
forecasting performance of econometric models incorporating asymmetric price transmission from crude oil to gasoline. In this … point forecasting, while it can be exploited to produce more accurate sign and probability forecasts. Finally, we highlight … that the forecasting performance of the estimated models is time-varying. …
Persistent link: https://www.econbiz.de/10010901437
This paper contains the results of a non parametric multi-step ahead forecast for the monthly Colombian inflation, using Mean conditional Kernel estimation over inflation changes, with no inclusion of exogenous variables. The results are compared with those from an ARIMA and a nonlinear STAR....
Persistent link: https://www.econbiz.de/10005783908
hybrid forecasts. Superior forecasting performance is achieved by both, taking into account the conditional expected …
Persistent link: https://www.econbiz.de/10004967931
Evaluation of forecast optimality in economics and finance has almost exclusively been conducted under the assumption of mean squared error loss. Under this loss function optimal forecasts should be unbiased and forecast errors serially uncorrelated at the single-period horizon with increasing...
Persistent link: https://www.econbiz.de/10005661998
We evaluate various modelsí relative performance in forecasting future US output growth and inflation on a monthly … essentially useless in the last two decades. When forecasting inflation, instead, fewer predictors are significant (among which …
Persistent link: https://www.econbiz.de/10005114022
We evaluate the forecasting performance of four competing models for short-term macroeconomic forecasting: the … Bayesian Factor Augmented VAR models are more suitable for short-term forecasting than traditional unrestricted VAR model. …
Persistent link: https://www.econbiz.de/10012217829
Aggregate demand forecasting, also known as nowcasting when it applies to current quarter assessment, is of notable … indicate that the MIDAS regressions demonstrate comparable forecasting performance to that of MF-VAR model. Moreover, it is …
Persistent link: https://www.econbiz.de/10014327919
Aggregate demand forecasting, also known as nowcasting when it applies to current quarter assessment, is of notable … indicate that the MIDAS regressions demonstrate comparable forecasting performance to that of MF-VAR model. Moreover, it is …
Persistent link: https://www.econbiz.de/10012696077
-term predictions. Due to the characteristics of the residuals, a bootstrapping method of forecasting was also used, yielding even …
Persistent link: https://www.econbiz.de/10010292409