This paper examines the forecasting performance of DSGE models with and without banking intermediation for the US … forecasting horizon/period. To interpret this finding it is crucial to take into account parameters instabilities showed by a … forecasting performance of output and inflation in the recent period. …

data sampling (MIDAS) regression is mainly a forecasting tool designed to harness mixed-frequency data. This dissertation … supervise banks inconsistently which affects the formation of costs. The accuracy of forecasting is low for banks supervised by … and it is discovered that the MIDAS model has superior forecasting accuracy as compared to the HAR model. The economic …

This thesis develops a forecasting model to predict six different volume measures on a weekly and daily basis for UPS … plans. Four different forecasting methods are used to evaluate each volume metric. Moving average, single exponential … smoothing, double exponential smoothing and Winter’s additive model are the four forecasting methods that are used to generate …

as an alternative forecasting tool. Based on our results, we confidently conclude that money provides a good amount of … output, real or nominal. In forecasting inflation, we make a distinction between high- and low-inflation environments. In …